Author: Sai Krishna

Aduna and Major U.S. Carriers Expand Network API Portfolio to Help Businesses Combat Fraud

PLANO, Texas, Oct. 20, 2026 /PRNewswire/ —  Aduna, a leading global aggregator of standardised network APIs, today announced three powerful fraud prevention APIs across the United States: Know Your Customer, Device Swap, and Call Forward Detection, targeted for availability in Q4. Delivered in collaboration with AT&T, T-Mobile and Verizon, the new APIs provide businesses with direct access to trusted mobile network signals that can help identify fraud risks in near real-time and make more informed customer authentication and onboarding decisions.

The launch marks another significant milestone in Aduna’s mission to unlock the value of mobile network data and make carrier-grade intelligence accessible through a single, standardised platform. By combining coverage across the three largest U.S. mobile operators, Aduna helps enable enterprises, developers and solution providers to integrate trusted network signals through a single API gateway rather than managing multiple carrier relationships and integrations.

As fraud continues to evolve, businesses face growing challenges in distinguishing legitimate customers from increasingly sophisticated threats, including account takeover fraud, synthetic identities, social engineering scams and unauthorised account changes. By leveraging trusted information directly from mobile operators, the new APIs provide an additional layer of intelligence that can strengthen risk models, improve verification processes and reduce fraud losses.

“Fraudsters continue to exploit gaps in digital identity verification, creating significant challenges for businesses and consumers alike,” said Anthony Bartolo, CEO of Aduna. “The launch of KYC and Device Swap and the forthcoming Call Forwarding Detection represents another major step towards bringing trusted network intelligence to the market at scale. By providing direct access to carrier-verified signals, we are helping organisations make smarter risk decisions, reduce fraud and create safer digital experiences for their customers.”

KYC API

Helps verify customer identity information against carrier records, supporting more reliable customer onboarding and account verification processes.

Device Swap API

Identifies when a mobile number has recently been associated with a different device, helping organisations detect potential account takeover attempts and SIM-related fraud risks.

Call Forwarding Detection API

Reveals when call forwarding has been activated on a mobile number, helping identify potential fraud scenarios where criminals attempt to redirect authentication calls or verification processes.

Together, these network APIs provide businesses with powerful risk signals that can be incorporated into fraud prevention workflows, authentication journeys and identity verification solutions. The APIs are particularly relevant for organisations operating in financial services, fintech, e-commerce, digital marketplaces, telecommunications, healthcare and government services where trust and customer verification are critical.

Through Aduna’s unified platform, enterprises gain access to consistent, standardised APIs across all participating operators, helping accelerate adoption while reducing implementation complexity.

About Aduna

Aduna is a landmark venture between some of the world’s leading telecom operators and Ericsson, dedicated to enabling developers worldwide to accelerate innovation by leveraging networks to their full potential through common network Application Programming Interfaces (APIs). Its venture partners include AT&T, Bharti Airtel, Deutsche Telekom, KDDI, Orange, Reliance Jio, Singtel, Telefónica, Telstra, T-Mobile, Verizon and Vodafone.

By combining network APIs from multiple operators globally under a unified platform based on the CAMARA open-source project, driven by the GSMA and the Linux Foundation, Aduna provides a standardised platform to foster collaboration, enhance user experiences and drive industry growth.

To find out more, visit adunaglobal.com.

Media Contact:  

Email: MediaRelations@adunaglobal.com  

Tel: +46 10 719 69 92  

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CATL Unveils Dual-Electric Range Extension Battery to Accelerate Electric Heavy-Duty Truck Adoption

BEIJING, Oct. 20, 2026 /PRNewswire/ — CATL today unveiled the innovative dual-electric range extension battery and the latest generation of heavy-duty battery-swapping solution to accelerate the electrification of road freight transportation.

Competition in electric heavy-duty trucking is moving beyond technical specifications toward full-lifecycle value. While battery swapping has made energy replenishment faster and more predictable, concerns about battery utilization, operating costs and residual vehicle value continue to affect fleet economics.

To address these challenges, CATL combines its dual-electric range extension battery with QIJI’s strategy of standardization, new infrastructure and a full commercial ecosystem, bringing battery swapping and industry-wide collaboration together to accelerate heavy-duty truck electrification.

A Dual-Electric Approach to Range Extension

CATL’s dual-electric range extension battery combines two independent yet complementary battery systems.

The main battery uses QIJI’s standardized chassis-mounted swappable battery to maximize efficiency. A behind-the-cab range-extension power system, currently equipped with a 77kWh battery capable of 3C charging, provides backup power. Together, the systems maintain uninterrupted power delivery and provide redundancy for demanding operating conditions.

• Dual-System Power Redundancy
  
  
  
  In conventional battery-swapping trucks, drivers often return for a swap with unused capacity because they are reluctant to run the battery low. Backup power from the range-extension battery increases the main battery’s depth of discharge (DOD) from approximately 70% to over 95%, allowing it to be returned at less than 5% state of charge (SOC). At this threshold, CATL’s seamless switching technology transfers power delivery to the range-extension battery within milliseconds, maintaining a continuous and stable power supply.

• “1+X” Architecture and Independent Upgrades
  
  
  
  The system uses a “1+X” architecture. One standardized main battery maintains compatibility with the QIJI battery-swapping network, while the range-extension battery can be customized for specific conditions with options including ultra-high energy density, low-temperature resistance for cold climates, or ultra-high power.
  
  
  
  The two battery systems can be developed and upgraded independently to meet their respective technical and operational requirements.

• Flexible Leasing and Battery Asset Management
  
  
  
  The independently owned on-board range-extension battery stays with the vehicle as an asset throughout its service life, reducing reliance on immediate access to a swapping station. The main battery can be leased according to seasonal freight demand, helping fleets reduce rental costs during quieter periods and manage battery assets more flexibly.
  
  
  
  This architecture combines the benefits of standardization with flexible vehicle configurations, making electric heavy-duty trucks more practical and economically viable across a wider range of applications.

QIJI Builds a Shared Battery Swapping Ecosystem

QIJI complements these improvements with a three-pillar strategy of standardization, new infrastructure and a full commercial ecosystem. It seeks to speed heavy-duty truck electrification with a value-chain ecosystem co-created by all stakeholders, where benefits are shared collectively.

• Standardization Supports Wider Adoption
  
  
  
  To accommodate a wider range of truck models and operating conditions, QIJI has introduced the 260# (432 kWh) and 300# (513 kWh) standardized battery-swapping blocks alongside the existing 75# block.
  
  
  
  The system enables battery swaps in just five minutes, with a 99.99% first-time success rate, helping fleets minimize downtime and maintain operational efficiency.
  
  
  
  QIJI has also pioneered a battery-as-a-service (BaaS) model in which customers pay for the net energy charged rather than the energy discharged. This allows customers to retain the value of energy recovered through regenerative braking, reducing per-kWh battery rental costs for users on basic plans by up to 20%. Flexible battery leasing options allow customers to tailor rental periods to their needs, from second-hand vehicle transitions to seasonal demand. This will minimize idle costs and offer more flexible options for off-season downtime, further helping fleets manage operating costs.

• New Infrastructure Improves Resource Efficiency
  
  
  
  QIJI aims to make better use of four critical resources in long-haul freight: time, land, payload capacity and grid electricity. Rapid battery swapping reduces waiting times, while efficient station layouts serve more vehicles within the same footprint. Battery capacity is matched to transport needs, and centralized, coordinated charging makes better use of grid electricity. These measures aim to improve both resource efficiency and operational returns.
  
  
  
  CATL plans to deploy 900 battery-swapping stations by the end of 2026 and 2,000 by 2027, with a long-term target of 10,000 stations nationwide in collaboration with its partners.
  
  
  
  By connecting major freight corridors through a coordinated swapping network, QIJI aims to improve the efficiency and commercial viability of electric heavy-duty trucking.

• A Commercial Ecosystem Supports the Full Vehicle Lifecycle
  
  
  
  QIJI connects truck manufacturers, financial institutions, insurers, channel partners and aftermarket service providers across the vehicle lifecycle, from purchase and operation to maintenance and resale, working together to build a comprehensive ecosystem of integrated products and services.
  
  
  
  QIJI has introduced two partnership models: Battery Asset Service Partners and Energy Replenishment Service Partners. These models allow partners to participate in battery asset services and energy replenishment, extending their role beyond one-off vehicle sales to ongoing operations.
  
  
  
  Through this integrated ecosystem, QIJI aims to turn the costs of the low-carbon transition into new growth opportunities, enabling stakeholders across the value chain to share the benefits of the new-energy era.

“The combination of the dual-electric range extension battery and QIJI battery swapping offers the best solution for electrifying heavy-duty trucks,” said Jesse Yang, CEO of QIJI Energy.

New Batteries and Industry Partnerships

The initiative has also gained commercial traction, with agreements signed for 13,000 units at the event.

Aside from the dual-electric solution, CATL also introduced a new lineup of heavy-duty truck batteries tailored to different vehicle configurations and operating requirements at the event. The lineup includes rear-mounted ultra-light and ultra-thin batteries for weight- and space-sensitive applications, as well as chassis-mounted solutions for short-haul and long-haul operations.

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Blockchain.com Launches Options Trading for Eligible Users

New Trading Account feature makes it simpler to trade short-term market views with defined risk

VALLETTA, Malta, Oct. 20, 2026 /PRNewswire/ — Blockchain.com, a global leader in crypto services for retail and institutional users, today announced the launch of options trading within its Trading Account, giving eligible users a simple and intuitive way to trade short-term views on where crypto markets are headed.

Options give traders greater flexibility to express a market view based on both price direction and timing. Blockchain.com is bringing that functionality to its consumer app experience to make options more accessible, while preserving the defined risk structure of buy options.

The new experience turns a traditionally complex trading process into a straightforward flow. Users select an expiry date and target price, enter their trade amount, and review the trade before confirming. Blockchain.com then translates that view into the corresponding call or put option, allowing users to focus on their market view rather than the mechanics of structuring the trade.

“Options give traders another way to act on where they believe the market is headed, but across a wide range of providers and apps, the experience is often difficult to navigate,” said Taro Ugen, VP of Consumer at Blockchain.com. “We’ve designed the Blockchain.com options experience around the decisions that matter: where traders think the market is going, when they think it will get there, and how much they are prepared to put behind that view. We take care of the complexity in the background, so users get a simpler way to access a powerful trading service with clearly defined risk that augments their investment toolkit.”

At launch, eligible users can buy call and put options on Bitcoin (BTC), Ether (ETH), Solana (SOL), Hyperliquid (HYPE), Avalanche (AVAX), XRP and TRON (TRX). Live market prices are shown directly within the trading experience. Trades are funded upfront in USDC from the Blockchain.com Trading Account. Because users are buying options rather than trading on margin, the amount paid upfront represents the maximum potential loss.

The launch of options trading follows Blockchain.com’s introduction of perpetual futures trading earlier this year. Options will initially be available with expiries of up to one week and must be held through settlement. The product is available to eligible users in supported jurisdictions and is subject to applicable laws and regulatory requirements.

About Blockchain.com:

Blockchain.com is connecting the world to the future of finance. The most trusted and fastest-growing global crypto company helps millions safely access cryptocurrency. Since its inception in 2011, Blockchain.com has supported over 95M+ wallets, 44M+ confirmed accounts, and more than $1.1 trillion in crypto transactions. Operating in more than 70 jurisdictions, Blockchain.com offers secure self-custody, institutional services, and a growing product suite aligned with global regulation and privacy standards.

Media Contact:

Press@blockchain.com

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Project Eleven and Relm Insurance Partner to Explore Quantum Risk in Digital Asset Insurance

The first partnership to explore post-quantum security as a factor in pricing digital asset insurance.

NEW YORK, Oct. 20, 2026 /PRNewswire/ — Project Eleven, the post-quantum security company for digital assets, today announced Relm Insurance as a development partner for Strongpoint, its flagship institutional custody product. The collaboration will explore how an institution’s post-quantum security controls could be evaluated within digital asset insurance underwriting, helping both companies better understand how quantum readiness may influence future assessments of digital asset risk.

As quantum computing advances, a sufficiently powerful machine could derive private keys from exposed public keys and compromise digital assets. Institutions need custody infrastructure capable of adapting its cryptography before such a machine becomes available. Strongpoint is built for that transition. The platform combines classical and post-quantum signing and separates institutional controls from the cryptography layer, enabling institutions to replace signing algorithms while preserving approval rules and audit history.

“Every institution holding digital assets will eventually need to prepare for post-quantum cryptography. The open question is whether that transition happens on the institution’s schedule or under pressure,” said Alex Pruden, CEO and Co-Founder of Project Eleven. “Insurance plays a critical role in how markets assess and manage risk. We believe there is an opportunity for institutions that invest in stronger post-quantum defenses to eventually see that reflected in how their risk is evaluated. Working with Relm is an important first step toward understanding what that could look like in practice.”

Exploring Post-Quantum Risk in Insurance Underwriting

Through the development partnership, Relm and Project Eleven will explore how post-quantum security could be assessed within existing digital asset insurance frameworks. Areas of investigation include key exposure, signing systems, transaction approvals, migration readiness, and third-party dependencies.

Relm will also provide input into the design and development of Strongpoint, helping Project Eleven understand how institutional custody infrastructure can better support insurance underwriting and risk assessment. This collaboration will help inform Strongpoint’s approach to security controls, auditability, and the evidence institutions may need to demonstrate their post-quantum readiness to insurers.

Joseph Ziolkowski, founder and CEO of Relm Insurance, said, “Insuring exposures across the digital asset ecosystem requires underwriters to anticipate how risks will evolve. Quantum computing is a clear example of an emerging threat that should shape the way we assess risk today. Our work with Project Eleven will explore how institutions identify their exposure, demonstrate effective controls, and prepare for the transition to post-quantum readiness. Bringing underwriting expertise into that process early can help lay the groundwork for insurance solutions that support confidence, resilience, and continued growth in digital assets.”

The collaboration is exploratory, with a focus on developing a shared understanding of post-quantum risk and the controls that could help mitigate it. Any future implications for underwriting or insurance premiums would be subject to further evaluation and Relm’s independent underwriting processes.

Institutions can learn more about Strongpoint at projecteleven.com/strongpoint.

About Project Eleven

Project Eleven builds resilient infrastructure and tooling for the post-quantum era. The company develops scalable solutions that strengthen security across a rapidly evolving quantum threat landscape. With deep expertise in cryptography, blockchain, and financial systems, Project Eleven bridges advanced post-quantum research with real-world implementations that prepare the digital asset ecosystem for the future. For more information, visit www.projecteleven.com.

About Relm Insurance

The Relm Insurance group of companies comprises Relm Insurance Ltd., a Bermuda-domiciled specialty insurance carrier supporting emerging industries and next-generation technologies, and its affiliates. Relm Insurance was launched in 2019 to address the scarcity of insurance capacity available to high-growth markets, and plays an active role in bolstering the resilience of innovative industries. With offices in Bermuda, the US, UK, and MENA, Relm’s unrivaled industry expertise and solutions-driven track record make it a highly sought-after risk partner for businesses and institutions operating at the forefront of various industries like web3, digital assets, AI, biotech, and the space economy. Relm Insurance provides A- rated paper, supporting businesses navigating complex and emerging risks.

Visit: www.relminsurance.com for more information.

Media Contacts

Aubrey Strobel / Elena Nisonoff, Halcyon Communications

projecteleven@halcyonpr.xyz

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Metabolon Announces New Bioinformatics Application to Translate Metabolomic Biomarkers into Actionable Multiomic Hypotheses

New bioinformatics application combines curated metabolite-protein knowledge, advanced network algorithms, interactive exploration, and optional AI interpretation to generate clearer mechanistic hypotheses

MORRISVILLE, N.C., Oct. 20, 2026 /PRNewswire/ — Metabolon, Inc., the global leader in metabolomics solutions advancing life sciences research, diagnostics, therapeutics, and precision medicine, today announced Splash & Ripple, a new bioinformatics application within the company’s Integrated Bioinformatics Platform. Splash & Ripple helps researchers translate metabolomic biomarkers into candidate protein mechanisms and actionable multiomic hypotheses. 

Metabolomics captures biochemical activity close to phenotype, revealing the combined effects of genes, protein activity, disease, treatment, and environmental influences. While this proximity makes metabolomics highly informative, it can also complicate interpretation. A changed metabolite may be associated with numerous enzymes, transporters, receptors, and binding proteins, while conventional pathway enrichment often provides broad biological context without identifying the specific mechanisms researchers should investigate next. Moving from a metabolomics result to a focused mechanistic hypothesis can therefore require extensive manual research across scientific literature, biological databases, and multiple omics datasets. This process can take months, even for teams with specialist expertise, creating a significant barrier to realizing the full value of metabolomics. 

Splash & Ripple brings this work into a single exploratory environment. Starting with a set of metabolomic biomarkers, the application identifies associated proteins and traces their relationships through high-confidence interaction networks. Splash & Ripple prioritizes candidate proteins based on the strength and concentration of supporting metabolite evidence, allowing researchers to identify mechanisms supported by multiple biochemical signals and examine the evidence behind those relationships.

“Metabolomics gives researchers an exceptionally powerful view of the biology that governs the phenotypes researchers care about, but acting on that information has required considerable time and specialist expertise,” said Ro Hastie, President and CEO of Metabolon. “Splash & Ripple enables scientists to explore candidate protein mechanisms immediately, understand why they have been prioritized, and develop more focused multiomic hypotheses. Combined with our optional AI interpretation capability, Splash & Ripple can accelerate work that might otherwise take months and help researchers determine the most valuable next experiment.”

At the foundation of Splash & Ripple is Metabolon’s proprietary Metabolite Affiliated Proteins (MAP) Database, an exclusive, scientist-curated knowledge resource that connects measured metabolites to enzymes, transporters, receptors, and binding proteins through biologically meaningful relationships. Unlike conventional pathway-centered analyses, the MAP Database extends beyond predefined annotations to reveal mechanistic connections that may otherwise remain hidden. Built on Metabolon’s decades of metabolomics expertise and supported by scientific literature and biological databases, this proprietary knowledge layer provides a uniquely powerful foundation for translating biochemical signals into biological hypotheses. Splash & Ripple applies advanced network algorithms to these curated relationships to identify proteins most closely associated with observed metabolite changes, connect multiple biochemical signals, and help researchers prioritize the mechanisms and experiments most likely to advance discovery.

Additional Splash & Ripple supporting features include:

• An optional AI-assisted interpretation module that evaluates promising protein–metabolite relationships against literature, genetic associations, interaction evidence, and phenotypic context to generate citation-supported hypotheses for scientific review and refinement. Because AI is separate from the core analysis, organizations can use Splash & Ripple without AI when project requirements restrict AI usage. In either configuration, outputs support hypothesis generation and experimental validation rather than establishing causality.
• Access to Metabolon’s scientific services team to help evaluate hypotheses, assess supporting evidence, and translate findings into actionable research plans, with support available based on project needs and scope.
• An interactive interface that lets researchers navigate among biomarkers, candidate proteins, and supporting network relationships to investigate potential mechanisms underlying observed biochemical changes.

Splash & Ripple is part of Metabolon’s Integrated Bioinformatics Platform, where researchers can interpret metabolomics alongside genomic, transcriptomic, proteomic, clinical, and other biological data. By linking metabolomic biomarkers to candidate protein mechanisms using curated metabolite–protein knowledge, advanced network analysis, interactive exploration, and optional AI interpretation, Splash & Ripple helps researchers quickly develop focused mechanistic hypotheses, prioritize downstream experiments, and extract greater scientific and commercial value from metabolomics and multiomics data.

To learn more about Splash & Ripple, visit https://metabolon.com/bioinformatics-software/splash-and-ripple/

About Metabolomics

Metabolomics, the large-scale study of all small molecules in a biological system, is the only omics technology that provides a complete current-state functional readout of a biological system. Metabolomics helps researchers see beyond individual genetic variation, capturing the combined impact of genetic and external factors, such as drugs, diet, lifestyle, and the microbiome, on human health. By measuring thousands of discrete chemical signals that form biological pathways in the body, metabolomics can reveal important biomarkers, enabling a better understanding of a drug’s mechanism of action, pharmacodynamics, and safety profile, as well as individual responses to therapy. Metabolomics anchors multiomic discovery in biological function, helping organizations reduce uncertainty and make more confident scientific and business decisions.

About Metabolon

Metabolon, Inc. is the global leader in metabolomics, with a mission to deliver biochemical data and insights that expand and accelerate the impact of life sciences research and complement other ‘omics’ technologies. With more than 25 years of metabolomics leadership, 15,000+ projects, 4,000+ publications, and ISO 9001:2015, CLIA, and CAP certifications, Metabolon has developed industry-leading scientific, technological, and bioinformatics techniques. Metabolon’s Global Discovery Panel is powered by the world’s largest proprietary metabolomics reference library, while Metabolon’s expanding portfolio of solutions enables researchers to access Metabolon-standard metabolomics through both centralized services and in-house workflows. The Metabolon Verus™ Metabolomics Profiling Kit extends Metabolon’s validated methods into laboratories worldwide, enabling researchers with LC-MS capabilities to generate standardized, reproducible metabolomics data on-site through streamlined workflows, embedded quality controls, automated compound annotation, and direct access to Metabolon’s Integrated Bioinformatics Platform. Metabolon’s industry-leading data, translational science, and bioinformatics expertise help customers and partners resolve some of the most challenging questions in the life sciences, accelerating research and enhancing development success. The company offers scalable, customizable metabolomics and multiomics solutions—from discovery and targeted services to decentralized in-house metabolomics—that support customer needs across academic research, biopharma, core facilities, and CROs, from early discovery through clinical trials and product life-cycle management. For more information, please visit www.metabolon.com and follow us on LinkedIn and X.

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DJI Osmo Pocket 4P Pearl White Now Available, Bringing Style to Cinematic Creators Worldwide

The Pearl White Edition of DJI’s Breakthrough Dual-Lens Gimbal Camera Offers 17 Stops of Dynamic Range, 10-bit HDR Video, and Advanced D-Log 2 Color Science

SHENZHEN, China, Oct. 20, 2026 /PRNewswire/ — DJI, the global leader in civilian drones and creative camera technology, today announces the global availability of the Osmo Pocket 4P Pearl White. This elegant new colorway delivers the complete dual-lens filmmaking power of the acclaimed Osmo Pocket 4P, featuring a premium 1-inch CMOS sensor with 17 stops of dynamic range, the latest 10-bit D-Log 2 color profile, and dual lenses spanning 20mm to 60mm optical range. Crafted with mica-infused pearlescent pigments and multi-layer spray coating technology, the Pearl White finish reveals subtle, soft luminous shifts across different lighting conditions and viewing angles. It combines the restrained sophistication of a professional camera with the refined sophistication of quiet luxury that complements lifestyle photography, travel vlogging, and everyday storytelling—offering fashion-forward creators a new visual choice for their creative toolkit.

Professional Cinematic Storytelling with Style

The Osmo Pocket 4P Pearl White is engineered around two powerful lens configurations that transform how creators capture the world. The primary 20mm wide-angle lens features an all-new 1-inch CMOS sensor with an f/2.0 aperture, delivering up to 4K/240 fps video powered by cutting-edge LOFIC technology. Its 17 stops of dynamic range—typically found only in high-end cinema cameras—preserve exceptional highlight and shadow details even in challenging lighting including brilliant sunsets, backlit portraits, and high-contrast scenes. The new 10-bit D-Log 2 color profile captures over one billion colors, empowering creators to recover shadow and highlight detail with cinema-grade precision and maximum grading flexibility. Meanwhile, the premium 60mm medium-tele lens with f/1.8 aperture (f/6.3-equivalent depth of field) and 3× optical zoom up to 12× zoom create the signature shallow-focus portraiture that defines cinematic production. Combined with the gimbal’s precision stabilization and professional-grade color science, these lenses enable creators to shoot with the intent of cinema directors—maintaining studio-level control and post-production mastery in a remarkably compact 230-gram form.

Creative Features For Modern Filmmaking

• Cinematic Slow Motion: Capture up to 8× ultra-HD slow motion at 4K/240 fps, turning dynamic moments—spinning subjects, flowing hair, cascading water—into mesmerizing slow-motion sequences with full optical detail intact.
• High-Resolution Stills: Capture up to 37MP photos with crystal-clear detail that can be reframed in post, ensuring creators never miss the perfect composition.
• 4K Live Photo: Automatically record 1.5-second clips in 4K for every photo, capturing the motion and narrative surrounding every frame.
• Intelligent Tracking: Intelligently follow subjects – such as people, vehicles, pets, or dynamic shapes–with ActiveTrack 8.0 and keep them perfectly framed even in complex scenes.
• Ultra-Fast File Transfer: Streamline editing workflows with USB 3.1 support and 800MB/s transfer speeds.
• Extended Creative Runtime: Capture every moment without interrupting workflows with up to 210 minutes of runtime on a single charge and fast-charging capability reaching 0–80% in just 18 minutes.
• Auto Media Transfer to iOS: Automatically transfers newly captured footage to iOS devices after powering off the camera for more streamlined mobile editing workflow. For optimal stability, pair with iPhone 16 series or later running iOS 26.4.1 or above, with camera battery level above 15%.
• HDR 10-bit Color Mode: Record in stunning high-dynamic-range 10-bit video, capturing over one billion colors for maximum post-production flexibility. Playback on HDR-compatible displays reveals the full visual richness of your footage.

Fully Compatible with the Osmo Ecosystem

The Osmo Pocket 4P Pearl White seamlessly integrates with DJI’s versatile accessory ecosystem. Sold separately, this edition is compatible with the Osmo Pocket 4 Fill Light, premium ND and polarizing filters, wide-angle lens adapters, battery handle, and OsmoAudio microphones. This ecosystem approach empowers creators to build customized rigs tailored to their production needs, whether shooting solo or running complex multi-camera setups.

DJI Care Refresh

DJI Care Refresh, the comprehensive protection plan for DJI products, is now available for Osmo Pocket 4P Pearl White Edition. Accidental damage is covered by the replacement service, including natural wear, collisions, and water damage. For a small additional charge, you can have your damaged product replaced if an accident occurs.

DJI Care Refresh (1-Year Plan) includes up to 2 replacements in 1 year. DJI Care Refresh (2-Year Plan) includes up to 4 replacements in 2 years. Other DJI Care Refresh services include official warranty, international warranty service, and free shipping. For a complete list of details, please visit: www.dji.com/support/service/djicare-refresh 

For more information, please refer to: www.dji.com/osmo-pocket-4p 

Images and assets can be found at this link: https://bit.ly/4ixhJOm 

¹ All data were measured using a production model of the Osmo Pocket 4P under controlled conditions. For more information, please refer to the official DJI website.

About DJI

Since 2006, DJI has led the world with civilian drone innovations that have empowered individuals to take flight for the first time, visionaries to turn their imagination into reality, and professionals to transform their work entirely. Today, DJI serves to build a better world by continuously promoting human advancement. With a solution-oriented mindset and genuine curiosity, DJI has expanded its ambitions into areas such as renewable energy, agriculture, public safety, surveying and mapping, and infrastructure inspection. In every application, DJI products deliver experiences that add value to lives around the world in more profound ways than ever before.

For more information, visit our:

• Website: www.dji.com 
• Online Store: store.dji.com
• Facebook: www.facebook.com/DJI
• Instagram: www.instagram.com/DJIGlobal
• X: www.x.com/DJIGlobal
• LinkedIn: www.linkedin.com/company/dji
• Subscribe to our YouTube Channel: www.youtube.com/DJI

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llm-d 1.0 Advances Open, Cost-Efficient AI Inference for Production Scale

• llm-d 1.0 consolidates a hardened core for distributed inference validated for day 2 production deployments that helps organizations improve AI serving efficiency and scale enterprise workloads.
• llm-d is broadly adopted and trusted by frontier model labs, hyperscalers and neoclouds, hardware accelerators, and major enterprises, with recent demonstrations showing up to five to 10 times cost reductions for context-heavy agentic workloads¹ and three times greater output throughput.²

SAN JOSE, Calif., Oct. 20, 2026 /PRNewswire/ — Today, llm-d project contributors announced the release of llm-d 1.0, a major milestone for the open source project designed to help organizations deploy and scale large language model inference more efficiently across modern infrastructure. Founded in 2025 by Red Hat, IBM (NYSE: IBM), Google Cloud, CoreWeave and NVIDIA, and now governed by the Cloud Native Computing Foundation (CNCF), llm-d plays a key role in the open foundation for enterprises deploying AI at scale in production.

As organizations race to put AI into production, many are discovering that running AI at scale can be as challenging and expensive as building the models themselves. Organizations need a way to deliver responsive experiences for users, support agentic workloads, and maximize utilization of increasingly scarce compute resources. llm-d 1.0 is built to address these challenges through intelligent distributed inference capabilities to facilitate improvements in performance, increases in throughput and help organizations gain greater control over the economics of AI serving.

Turning Innovation into Production Reality

With the rise of agentic AI, new types of workloads are placing a different kind of stress on infrastructure systems. Agentic workloads continually access and reuse vast amounts of context while supporting parallel agents that can generate unpredictable bursts of activity. Managing that context often consumes more resources than generating the final output itself, making latency, throughput, memory efficiency and infrastructure costs critical factors in realizing AI ROI. llm-d already delivers hardware heterogeneity and advanced inference capabilities out of the box for complex infrastructure environments, as well as prefix-cache and load-aware routing, KV cache offloading, prefill/decode disaggregation, wide expert parallelism and batch and async inference — across multiple model servers, including vLLM and SGLang.

llm-d 1.0 is engineered to bring that performance to the realities of Day 2 operations and the ongoing work of running inference in production: serving multiple tenants, balancing competing priorities, providing with zero downtime features and supporting emerging agentic workloads, all within one suite of co-designed components that compose into a platform. New capabilities in 1.0 include:

• Multi-tenant quality of service — Priority and fairness-aware flow control helps latency-sensitive requests, and bursty agent workloads share a fleet without starving one another.
• Zero-downtime operations — Router high availability with hot standby and rolling updates keep traffic flowing through upgrades and planned maintenance. Management of prefill/decode replicas as one logical unit, with coordinated rollouts and lockstep upgrades—making disaggregated serving practical in production.
• A stable foundation to build on — A v1 configuration API and a hardened request path, validated across clouds and accelerators, give adopters a release they can standardize on.
• Agent-aware serving — Session-aware routing keeps multi-turn conversations close to their cached context, while turn-priority scheduling and native Responses API state support help agents reuse context across turns and reduce recomputation.

The result is infrastructure that can support diverse AI workloads, ranging from latency-sensitive user interactions to large-scale autonomous agent workflows, without forcing organizations to choose between responsiveness and efficiency.

Growing Ecosystem Momentum

llm-d is already being used across a growing ecosystem of model developers, cloud providers, infrastructure vendors and enterprise users. Today, the project includes more than 500 contributors from over 25 organizations collaborating on the future of distributed AI serving and helping build common foundations across the AI infrastructure stack.

Core users including organizations running large-scale distributed inference, frontier model developers optimizing inference stacks and cloud providers serving multi-tenant AI endpoints have all seen measurable benefit from deploying llm-d.

In one recent use case, open frontier models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5 times lower inference cost than an all-proprietary configuration.³ Researchers reported a prefix-cache hit rate of approximately 98% and a blended serving cost of about $0.11 per million tokens.

In a separate recent demonstration using benchmark workloads, researchers showed that llm-d could efficiently serve large mixture-of-experts models for agentic workloads. Researchers used llm-d to deploy GLM 5.2, an approximately 753-billion-parameter open-weight model, on  widely deployed NVIDIA GPUs, demonstrating how enterprises can use existing GPU fleets to serve frontier-class AI at scale. On a workload with hundreds of agentic sessions running in parallel, the deployment delivered over 6.6 million output tokens per minute at peak on agentic benchmarks, serving up to 3,000 concurrent coding agents with zero preemptions. At current cloud rental rates, this deployment led to costs that would have been 5 to 10 times less per token than equivalent commercial API pricing, with the largest savings on the input-heavy traffic patterns typical of agentic workloads, highlighting how llm-d can save resources and costs for enterprises deploying AI in production at scale.⁴

Through its CNCF governance model and broad industry participation, llm-d aims to accelerate innovation while providing organizations with an open alternative for managing increasingly complex AI infrastructure. Looking to the future, the community will continue adapting to new hardware and models as they emerge, evolving the software stack to achieve peak performance across new architectures. To learn more, read the announcement blogs from IBM and Red Hat. 

Supporting Quotes

Chris Aniszczyk, CTO, CNCF

“AI inference is quickly becoming a core cloud native workload. llm-d 1.0 helps organizations meet this shift at scale by bringing together open source inference capabilities with the requirements that matter in scaling production to then meet the demands of agentic workloads. It’s an important step toward making high performance open source inference more operationally mature and accessible across the cloud native ecosystem.”

Brian Stevens, senior vice president and AI chief technology officer, Red Hat

“As organizations move beyond AI experimentation and into full-scale production, the bottleneck shifts from generating answers to managing the economics, operational reliability, and extreme infrastructure demands of complex agentic workloads. Open source collaboration is essential to solving these day-two operational challenges at scale. With llm-d 1.0, the community is delivering a standardized, hardened core for distributed inference to empower enterprises to optimize hardware performance, address operational costs, and build high-density AI architectures on an open foundation.”

Priya Nagpurkar, vice president, AI native systems, IBM Research

“At IBM, we see firsthand that the challenge of enterprise AI is no longer just building powerful models but running them efficiently and reliably at scale. llm-d 1.0 represents an important milestone in creating an open foundation for distributed inference to help organizations get more value from their AI infrastructure and more control on the AI capabilities they depend on. As agentic workloads become more prevalent, open technologies like llm-d will be critical to improving performance, lowering costs, and accelerating innovation across the AI ecosystem.”

Mark Lohmeyer, VP & GM, AI & Computing Infrastructure, Google Cloud

“Agentic AI is unlocking tremendous value for enterprises and consumers across a broad range of use-cases. However, as these workloads scale rapidly in production, they place unique demands on the infrastructure and require new approaches to deliver the performance, reliability, and cost-effectiveness our customers need. The release of llm-d 1.0 is an important milestone for the industry to address these needs. As a founding contributor to llm-d, Google Cloud is integrating llm-d 1.0 into Google Kubernetes Engine, and enabling it across our Google TPU and NVIDIA GPU portfolio, enabling customers to scale multi-tenant environments, optimize their inference performance, and dramatically lower their overall serving costs on a hardened, open-source foundation.”

Shadi Saba, vice president of engineering, AI/ML at CoreWeave

“Every team running inference at scale hits the same problems: context that often costs more to manage than the output, tenants competing for the same fleet, and upgrades that can’t interrupt traffic. llm-d 1.0 gives the community a hardened, open base to solve them once instead of separately. CoreWeave helped found the project, and customers can run llm-d on CoreWeave Kubernetes Service alongside NVIDIA Dynamo, choosing the serving stack that fits their workload.”

Ujval Kapasi, vice president, Engineering AI Frameworks, NVIDIA

“The next wave of agentic AI demands inference that delivers performance and efficiency at scale. Bringing llm-d to NVIDIA Vera Rubin will help enterprises build and scale advanced AI applications on the next generation of NVIDIA accelerated infrastructure. Through our collaboration with the llm-d community and contributions from open source NVIDIA Dynamo, we’re helping enterprises get more from their AI infrastructure investments.”

Phil Guido, executive vice president and chief commercial officer at AMD



“With llm-d v1.0, we are advancing open, high-performance distributed inference on AMD Instinct™ GPUs. Agentic workloads require infrastructure that delivers responsiveness and efficiency. Working with the llm-d community, we’re delivering the latest inference innovation on an open foundation, giving developers greater flexibility and choice to deploy AI at scale.”

Acyr Locatelli, VP, Modeling, Cohere



“At Cohere, we face the dual challenge of training frontier language models while serving them efficiently at enterprise scale. llm-d helps us optimize for both, whether maximizing throughput for large-scale reinforcement learning workloads or delivering the responsiveness users expect in production. Its flexible, open-source architecture aligns closely with our commitment to sovereign AI, giving organizations greater control over how AI is deployed, operated, and scaled.” 

Salman Paracha, SVP AI Engineering, DigitalOcean

“DigitalOcean is excited about the llm-d 1.0 release and relies on llm-d as foundational distributed inference software for DigitalOcean Serverless Inference and Managed Agents, serving trillions of tokens. Its Kubernetes-native design and integration with the Kubernetes Gateway API Inference Extensions provide robust orchestration and endpoint picking, while production-proven paths for dynamic flow control, inference-aware load balancing, and prefill/decode disaggregation help us operate reliably at scale. We collaborate closely with the llm-d community, contributing upstream features and feedback, and look forward to the continued development of llm-d.”

Vladislav Tankov, Director of AI, JetBrains

“JetBrains has been working with llm-d since its early releases, and it is great to see the project reach 1.0. llm-d now runs in production behind our new Junie Lite plan and serves a significant share of its traffic. Our traffic ranges from long agentic coding sessions to short requests, and predicted latency-based scheduling was straightforward to enable and keeps latency consistent across that mix. Junie Lite brings our AI coding agent to developers at no cost, and llm-d helps make that possible by letting us serve more requests per GPU at lower cost and with faster responses. We have enjoyed working with the llm-d team and congratulate them on this release.”

Mathis Felardos, Lucas Fernandes-Martins and Nikhil Thomas (Mistral, Inference Engineers and llm-d contributors)

“Serving frontier models across interactive applications and high-volume APIs means handling steep traffic spikes without letting bursty workloads degrade latency for priority customers. With llm-d’s prefix-cache-aware routing, flow control and disaggregated serving support we can enforce strict priority bands across our commercial tiers, automatically holding or shedding lower-priority requests when pools saturate so paid traffic meets our latency SLOs. Mistral is a proud supporter of open-source software, and we will continue to contribute back to llm-d and DisaggregatedSet projects.”

Nishchaie Khanna, Sr Director of Engineering, AI Platform, Roblox

“At Roblox, serving large language models efficiently across a mix of cloud and on-premises GPUs is one of our core infrastructure challenges. llm-d gives us a Kubernetes-native foundation for disaggregated serving and cache-aware routing on the hardware we already run, without tying us to a single inference engine. We’re excited to build on llm-d 1.0 and to contribute back to the community.”

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

About Red Hat

Red Hat is the open hybrid cloud technology leader, delivering a trusted, consistent and comprehensive foundation for transformative IT innovation and AI applications. Its portfolio of cloud, developer, AI, Linux, automation and application platform technologies enables any application, anywhere—from the datacenter to the edge. As the world’s leading provider of enterprise open source software solutions, Red Hat invests in open ecosystems and communities to solve tomorrow’s IT challenges. Collaborating with partners and customers, Red Hat helps them build, connect, automate, secure and manage their IT environments, supported by consulting services and award-winning training and certification offerings.

Media contacts:

Ashley Peterson

IBM Communications

ashley.peterson@ibm.com

Marian Pierson

Red Hat Communications

mpierson@redhat.com 

¹ How llm-d makes the most of the hardware you already have  

² Production-Grade LLM Inference at Scale with KServe, llm-d, and vLLM

³ Highly Cost-Efficient Agent Factories for High-Level Synthesis: Design Space Exploration for Quantum Error Correction Chip with Open Frontier Models and Distributed Inference at Scale

⁴ How llm-d makes the most of the hardware you already have 

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CAS collaborates with Microsoft to enable faster innovation in pharmaceutical, life sciences, and chemical industries

CAS Connections^SM integrates trusted human-curated scientific knowledge into Microsoft Copilot

COLUMBUS, Ohio, Oct. 20, 2026 /PRNewswire/ — CAS, a division of the American Chemical Society, today announced the availability of CAS Connections in Microsoft Copilot. The connector gives Copilot customers access to the CAS Content Collection™ and CAS Newton^SM, agentic AI built for science. CAS and Microsoft developed the connector with pharmaceutical, life sciences, and chemical organizations in mind.

R&D teams in these industries depend on scientific information and capabilities tailored to the unique needs of their researchers. CAS Connections integrates more than 150 years of CAS-curated scientific knowledge and the conversational intelligence of CAS Newton into Copilot, where many of these teams write, analyze, and collaborate every day. With curated science built into their daily workflow, researchers can work more efficiently and make better-informed decisions.

“Scientists in drug discovery and chemical R&D rely on CAS as an authoritative source for what is known about a substance, a reaction, or a target,” said Tim Wahlberg, Interim President, CAS. “Working with Microsoft, we are putting that knowledge and unique set of capabilities inside Microsoft Copilot, so researchers can move faster from early ideas to new medicines and materials.”

The connector will enable deep integration into common R&D workflows. For example, a chemist drafting the experimental section of a report in Microsoft Word can confirm a compound’s CAS Registry Number® and structure, check reaction conditions and reagent availability against CAS records, and cite the source as they write. An intellectual property analyst in Microsoft Teams can check whether a substance appears in the patent literature. A business development analyst preparing a licensing briefing in Microsoft PowerPoint can add patent landscape information that traces back to CAS content.

“Our pharmaceutical, life sciences, and chemical customers need AI they can trust, grounded in reliable scientific information,” said Chantrelle Nielsen, Principal Product Manager, Copilot Platform, Microsoft. “Bringing CAS into the Microsoft Copilot connector ecosystem was a strategic priority because CAS is an essential information source for these customers. Now scientists, patent teams, and business analysts can easily access this trusted information directly within Copilot.”

Beyond Microsoft, CAS Connections enables R&D teams to integrate CAS content and CAS Newton into a broad set of tools they use every day. Those tools include electronic lab notebooks (ELNs), laboratory information management systems (LIMS), discovery platforms, and enterprise AI. CAS launched CAS Connections with several initial collaborators in June 2026.

The CAS-Microsoft Copilot connector can be accessed in the Microsoft Marketplace at: marketplace.microsoft.com/en-us/product/WA200012172.

About CAS

CAS connects the world’s scientific knowledge to accelerate breakthroughs that improve lives. We are the scientific data intelligence partner empowering global innovators to capture the promise of AI and achieve real-world results. CAS builds the world’s largest collection of scientist-curated data. That foundation underpins our portfolio of science-smart insights platforms and integrates with R&D workflows for more confident decisions and reliable predictions. As a pioneer at the intersection of scientific data and AI-driven discovery, CAS enables leaders in life sciences, chemistry, and materials with the unique capabilities and expertise that deliver transformative innovation. CAS is a division of the American Chemical Society. Connect with us at cas.org.

Media Contacts

Peter Carlton

Senior Communications Manager, CAS

CAS-PR@cas.org

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Money20/20 USA Underway with NYSE as Exchange Partner: NYSE Content Update

NYSE issues a pre-market daily advisory direct from the trading floor.

NEW YORK, Oct. 20, 2026 /PRNewswire/ — The New York Stock Exchange (NYSE) provides a daily pre-market update directly from the NYSE Trading Floor. Access today’s NYSE Pre-market update for market insights before trading begins. 

Kristen Scholer delivers the pre-market update on October 20th

• Money20/20 to feature NYSE Vice Chair
  • NYSE Vice Chair Michael Harris will speak on a panel on Wednesday, titled, ‘From Pilot to P&L: Running Digital Assets as a Business.’
  • Harris will be joined by leaders from DTCC, Cari LLC, and Matter Labs.
• NYSE Media Center on-site in Las Vegas
  • About two dozen executives will be interviewed in NYSE’s branded location, with most of those guests being CEOs or founders in Fintech.
  • Guests from Plaid, FIS, KeyBank, and Socure, among others, make up the list of interviewees.
• Sunbit’s Personal Loan Push at Money20/20
  • The personal finance partner said it will enter personal loan market in 2027.
  • This establishes the company’s third product line, following its point-of-sale financing and credit card businesses. 
• Taking Stock will be live at the Venetian
  • Host J.D. Durkin will interview leaders from Perplexity, Drivewealth and Rain.
  • Show will stream live from Money20/20 through Wednesday at 3:58pm ET and you can catch the action across our NYSE platforms.

Opening Bell

TREX (NYSE: TREX) celebrates its 30^th anniversary

Closing Bell

3M (NYSE: MMM) celebrates the 2026 3M Young Scientist Challenge finalists

For market insights, IPO activity, and today’s opening bell, download the NYSE TV App and check out the NYSE YouTube: TV.NYSE.com and YouTube.com/@NYSEofficial

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Segway Powersports Highlights Off-Road Performance and Smart Technology at 140th Canton Fair

GUANGZHOU, China, Oct. 20, 2026 /PRNewswire/ — Segway Powersports, a global innovator in intelligent off-road vehicles and connected riding systems, concluded its showcase at the 140th Canton Fair. It presented two flagship models—the Super Villain SX20T, a high-performance sport SSV, and the AT10 W MUD, an ATV built for challenging terrain—highlighting its capabilities in power, off-road handling and intelligent riding technology.

Segway Powersports specializes in developing and manufacturing high-performance all-terrain vehicles and connected driving systems. It aims to set a benchmark in the global off-road vehicle (ORV) industry. Its patents span vehicle design, power systems and smart in-vehicle systems. The brand’s sales and service network covers more than 60 countries and regions, with over 1,000 retailers.

Among the vehicles on display was the Segway Super Villain SX20T, the brand’s flagship high-performance sport SSV, combining powerful performance, intelligent controls and professional-grade off-road equipment. Its 2.0T GDi engine delivers 235 hp and 380 N•m of peak torque, paired with a seven-speed automatic (7AT) transmission. It reaches speeds of up to 150 km/h and can tackle gradients of up to 70%. Its Smart Commanding System integrates a central touchscreen and offers three driving modes: Normal, Racing and Climbing. A high-strength chassis and racing shocks help maintain stability and ride comfort over rough terrain, while a six-point harness provides additional protection.

Purpose-built for muddy terrain, wetlands and forest trails, the Segway AT10 W MUD combines powerful performance with intelligent features for greater control and confidence. Its 97 hp powertrain, wide stance and 320 mm of ground clearance work together to deliver strong off-road capability and responsive handling in demanding conditions, while a standard 4,500 lb winch provides recovery support when needed. Specially engineered intake, electrical and drainage systems further enhance its water-wading capability and reliability.

The showcase underscored Segway Powersports’ expertise in developing high-performance off-road vehicles and integrating smart technology. Together, the two models highlighted the diversity of its product lineup for global markets.

About Segway Powersports

Segway Powersports is Segway’s professional-grade, high-performance powersports line for global markets. Guided by expertise, the pursuit of excellence and a spirit of exploration, the brand develops off-road vehicles that combine powerful performance, strong torque, reliable durability and responsive handling. Built for diverse and demanding terrain, its vehicles give riders the confidence to take on new challenges, reflecting the brand’s “Fear No Place” philosophy.

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