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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Bybit Renews RLUSD Hold & Earn Phase 4 with 1.3 Million XRP Rewards and Zero Fee

DUBAI, UAE, Oct. 20, 2026 /PRNewswire/ — Bybit, the New Financial Platform trusted by more than 80 million users worldwide, is pleased to announce Phase 4 of its exclusive RLUSD Hold & Earn program, continuing its dual-token rewards extravaganza powered by Ripple on Bybit, boasting 1.3 million XRP in prizes in the latest round.

From now until Nov 18, 2026, eligible Bybit users can hold RLUSD in their accounts and earn daily rewards in both RLUSD and XRP. Optimizing returns and convenience, no staking, lock-up, or subscription is required. The RLUSD/USDT pair on Bybit Spot also continues to offer 0% maker and taker fees throughout the phase.

Highlights – Phase 4

• Dual Rewards: Participants earn RLUSD at a base APR of up to 3.75%, alongside XRP bonus rewards drawn from a 1.3M XRP prize pool, powered by Ripple. The XRP bonus is subject to a holding-duration multiplier of up to 2x for participants who continuously hold RLUSD for 90 days or more.
• Competitive APR: The total actual APR combines RLUSD Base APR, bonus APR from a 1.3 million XRP Prize Pool, plus XRP Base APR multiplier, offering up to 2x for 90+ days continuous holding.
• Zero-Fee Spot Trading: The RLUSD/USDT spot pair continues to waive both maker and taker fees.
• Same Simplicity: Qualified participants holding a minimum of 1 RLUSD in their Bybit account stand to earn rewards automatically. Rewards are distributed daily.

RLUSD is a USD-pegged stablecoin issued by Ripple, fully collateralized by U.S. Treasury bills, USD deposits, and other cash equivalents, maintaining a stable 1:1 peg to the U.S. dollar. XRP is the native token of the XRP Ledger, co-founded by Ripple, designed for fast, low-cost cross-border payments.

Terms and conditions apply. Actual fee rates may vary by region, and users are advised to refer to the My Fee Rate page for accurate rates. For full details on the APR, multiplier, eligibility, and potential restrictions, users may visit: RLUSD Hold & Earn Phase 4 – Up to 3.75% APR on RLUSD and 1.3M XRP rewards

About Bybit

Bybit is The New Financial Platform.

We believe every person should have access to every financial opportunity on earth. That’s why we’re building the first intelligent platform that connects anyone, anywhere to the world’s finance.

Trusted by more than 80 million users worldwide, Bybit brings together investing, trading, payments, and wealth-building in a single secure and intelligent ecosystem. Through the combination of AI-powered technology, deep global liquidity, robust security, and transparent operations, Bybit makes global finance more accessible, efficient, and empowering for everyone.

Built for everyone. Powered by intelligence. Open to the world.

Learn more at Bybit.com.

For more details about Bybit, please visit Bybit Press

For media inquiries, please contact: media@bybit.com

For updates, please follow: Bybit’s Communities and Social Media

Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube

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Different Emerges from Stealth with $48M for AI that Runs Demand Generation for Lean B2B Marketing Teams

Founded by ThoughtSpot and Nutanix co-founder Ajeet Singh, Different gives a marketing team of 5 the capacity of 50 by unifying campaign orchestration, personalization and optimization across channels

SAN FRANCISCO, Oct. 20, 2026 /PRNewswire/ — Today, Different emerged from stealth and launched an AI marketing system that runs end-to-end demand generation for lean marketing teams. The company is backed by a $48 million seed round led by General Catalyst with participation from Lightspeed Venture Partners. With Different, marketers set the strategy, and the system builds and runs campaigns across channels, tailors them to each target buyer and shifts spend toward what works.

AI has made individual marketing tasks faster, but running a campaign end to end still requires teams to manually coordinate work across many tools and channels. Once a campaign is live, teams also struggle to understand what is working, making it harder to know where to invest more and where to spend less.

Different’s three co-founders saw the same problem from various sides. Ajeet Singh, Different’s co-founder and CEO, saw it while building ThoughtSpot, where, like most companies at its stage, a strong marketing team of about 50 people worked across dozens of tools. Abhishek Pani, chief product officer, saw it at Adobe, where he led the machine-learning team behind Adobe’s marketing products and its own marketing. Abhinav Yajurvedi, chief technology officer, saw it at consumer scale, building marketing infrastructure for Flipkart and Myntra.

“We built Different so a marketing team of five can do the work of 50,” said Singh. “Marketers own the strategy and the creative ideas. Different turns them into campaigns and keeps learning and optimizing as they run, so companies can grow faster without wasting spend.”

Unlike general-purpose LLMs, point solutions or agencies, Different builds and runs the whole campaign in one closed loop. It plans each campaign, creates and launches the ads, emails and landing pages, and delivers answer engine optimization (AEO), from monitoring to content recommendation and creation.

It works from a shared memory of each company’s strategy, brand and results, keeps improving campaigns while they run, and applies what it learns on one channel to the others and to future campaigns. Marketers review and approve all work before it goes live.

Customers are already seeing results. In one month, Different customer Motif’s three-person marketing team went from running a single campaign at one time to more than a dozen across four channels. Another customer, Descope, used Different to identify and redirect 60% of paid spend that was being wasted on poor targeting, helping the team reach better-fit accounts and improve meeting rates for their sales team.

“Different has helped us scale our marketing without scaling our team,” said Abhi Iyer, Head of Marketing at Descope. “Two of us run as many as ten programs at once, each delivering the right message to the right buyer at the right time. Before Different, this level of output would have required a much bigger team.”

“At General Catalyst, we bet on ambitious teams tackling big markets,” said Hemant Taneja, CEO of General Catalyst. “Different is going after one of the largest opportunities in AI: changing how companies market. We believe Ajeet, Abhishek and Abhinav have the track record and technical depth to build something special in this category.”

Together Fund, Haystack Ventures, MXV Capital and Firebolt Ventures also participated in the round. Different will use the funding to expand its engineering and go-to-market teams. Different is available today at different.ai.  

About Different

Different is the marketing system that runs demand generation across channels for B2B companies. It orchestrates, personalizes and optimizes campaigns in one closed loop, helping lean marketing teams launch faster, target buyers more effectively and improve marketing ROI. Different was founded by Ajeet Singh, Abhishek Pani and Abhinav Yajurvedi and is headquartered in San Francisco. For more information, visit different.ai.

Media contact

Audrey Jones

Audrey Jones Communications

ajones@audreyjonescommunications.com

(571) 225-7961

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FutureGrail Hosts Multimillion-Dollar Live Watch Auction with Previews in Hong Kong, Dubai, Geneva and Singapore

The auction features one of the year’s most important timepieces to go under the hammer – an extremely rare 1954 Patek Philippe Ref.2526P ‘Serpico y Laino’ in platinum with enamel dial, expected to fetch well into seven figures

DUBAI, GENEVA, HONG KONG and SINGAPORE, Oct. 20, 2026 /PRNewswire/ — FutureGrail, a global auction house for exceptional timepieces, has unveiled its upcoming November session. FutureGrail will also host previews in Hong Kong, Dubai, Geneva, and Singapore.

FutureGrail has presented online auctions since 2023 and now, for the first time, will host an in-person, live auction in Singapore on 14 November at 5.30pm (GMT+8). Bidders will also be able to make remote offers or place live bids via the website.

The session features ‘grails’ including an undoubted star of the season; an exquisite 1954 Patek Philippe Reference 2526P ‘Serpico y Laino’, thought to be a unique example, encased in platinum with an enamel dial. The item has never been auctioned before and is expected to command between USD 1 million and USD 2 million.

“We are delighted to showcase such fine examples of horology to global collectors and look forward to a vibrant live auction. There is a growing interest in such rare watches, between the hubs of the Americas, Europe, the Middle East and Asia – and it is a true privilege to present such a fantastic catalogue of exceptional timepieces to collector communities in these markets,” said Ali Nael, FutureGrail CEO.

The auction is packed with sought-after watches including unique and extremely rare references, such as:

• 1941 Patek Philippe Ref.1502J, two-tone sector ‘Telephone’ dial, One of only Two known (Estimate: USD 150,000 – 300,000)
• 2004 F.P. Journe Octa Calendrier ‘Brass Movement’, gold dial, retrograde date in Platinum (Estimate: USD 400,000 – 600,000)
• 1998 Daniel Roth Ref.C317, Platinum, Papillon 10^th Anniversary Limited Edition no. 08/30 (Estimate: USD 200,000 – 300,000)
• 1986 Urban Jurgensen Ref.2, ‘No.000’ perpetual calendar with guilloché dial, rose gold (Estimate: USD 200,000 – 400,000)
• 1949 Patek Philippe Ref.130A, ‘Full Set’, Two-tone Chronograph with Tachometer scale, Stainless Steel (Estimate: USD 200,000 – 400,000)
• 1950 Patek Philippe Ref.1463R, rare two-tone ‘Serpico y Laino’ Chronograph, ‘Tasti Tondi’, rose gold (Estimate: USD 300,000 – 600,000)
• 2012 Cartier W1556213, Tourbillon, Perpetual Calendar, Single-button Chronograph, Power-reserve indication, baguette cut and diamonds-set, One of Five made, white gold (Estimate: USD 300,000 – 600,000)
• 1961 Patek Philippe Ref.2597J, ‘Full Set’, Travel-Time, Jumping hour in Yellow gold (Estimate USD 200,000 – 400,000)
• And many more rare and valuable timepieces.

Previews:

21-22 October (10.30am – 7.30pm) – Delugs Maison, The Landmark, Hong Kong.

28-29 October (11am – 7pm) – ICD Brookfield, DIFC, Dubai.

5 – 8 November (10am – 6pm) – Beau-Rivage Genève, 13, Quai du Mont-Blanc, 1201 Genève.

12-13 November (10am – 6pm) and 14 November (10am – 3.30pm) – Artyzen Hotel, Singapore

Live Auction – 14 November 2026, 5.30pm (GMT +8)

For advance bidding, contact bids@futuregrail.com 

futuregrail.com

Media enquiries:

Jonathan Ivan-Duke

duke+mir

jon@dukemir.com

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