Category Archives: Technology

Quanscient and Haiqu Announce Breakthrough Algorithm for Scalable Computational Fluid Simulations on Quantum Computers

This advancement in quantum algorithms could help accelerate some of the most computationally intensive simulations used in engineering today.

Helsinki, Finland – April 2, 2026 – Researchers from Quanscient, a leader in cloud-based multiphysics simulation technology and quantum algorithms, and Haiqu, a leading developer of quantum middleware, today announced a new algorithm that can significantly advance the use of quantum computing in real-world engineering applications. The teams conducted a 15-step nonlinear fluid benchmark with an obstacle, making this the most physically complex, publicly documented variant of a Quantum Lattice Boltzmann Method (QLBM) hardware demonstration to date.

Developed and tested on IBMs largest-available quantum computer, the IBM Heron R3, the algorithm reduces the number of qubits required to run complex simulations in computational fluid dynamics (CFD) on quantum computers, demonstrating a viable path toward future industrial-scale solutions.

CFD is widely used to model how air, water, and other fluids behave around objects, such as airflow over an aircraft wing. It plays a critical role in product development and testing across industries, including aerospace, automotive, and energy. However, these simulations are extremely demanding for even today’s most powerful supercomputers, often taking days or even weeks to complete, if possible at all.

The new algorithm addresses one of the key challenges in applying quantum computing to CFD: high resource requirements. By significantly reducing the number of qubits and computational operations needed, this approach makes it more practical to run complex simulations on quantum computers. It demonstrates a more efficient path toward using quantum systems for real-world applications, and ultimately could help companies design better products and optimize complex systems more quickly.

“This is an interesting and timely contribution to quantum CFD,” said Oleksandr Kyriienko, Professor and Chair in Quantum Technologies at the University of Sheffield. “It proposes a more flexible quantum LBM framework while keeping the core algorithm efficient, and it strengthens the case with applications ranging from linear acoustics to IBM-QPU-assisted nonlinear flow simulations. We need more works like this to achieve industrially relevant quantum solutions.”

“This is one of the most realistic CFD simulations ever executed on a quantum computer. It is an important signal that quantum CFD research is moving toward simulating how fluids interact with real-world shapes and obstacles on quantum hardware,” Mykola Maksymenko, CTO of Haiqu. “This is the direction that any industrially meaningful workflow would have to take to reach commercial viability.” 

“CFD is one of the most computationally difficult branches of simulation with some of the largest impact on the world’s biggest sectors,” said Valtteri Lahtinen, Chief Scientist of Quanscient. “Quantum computers offer a future path to simulations that are far more complex than what classical computers can handle, which may allow for the design of more efficient vehicles and aircraft, better energy systems and more. Our work with Haiqu is a critical step toward making this a reality.”

Researchers from Quanscient and Haiqu developed and tested a novel One-Step Simplified LBM (OSSLBM) based on a quantum Lattice Boltzmann Method (QLBM) algorithm, which is a powerful generalization of an important classical CFD technique. Their approach allowed them to run a nonlinear fluid‑flow simulation with an obstacle, such as fluid moving around a solid object, over multiple steps on IBM quantum hardware. Haiqu’s algorithmic and runtime layer was critical to making this possible, reducing circuit depth, improving and developing new key algorithmic subroutines, and applying targeted error‑reduction techniques that allowed the quantum system to execute a multi‑step, complex workflow that would otherwise be out of reach for today’s devices.

The researchers believe their work represents a new algorithmic framework that reshapes how fluid simulations are performed on quantum computers, turning a complicated sequence of calculations into a simpler, more efficient process designed for quantum hardware. The hybrid quantum-classical OSSLBM can be executed on current hardware, outlining a practical path for moving beyond simple linear demonstrations toward more realistic, engineering‑relevant quantum fluid simulations as quantum systems continue to mature.

transcosmos receives approval from METI to renew its DX Certified Business Operator certification

Tokyo, Japan, Apr 2: transcosmos is proud to announce that on April 1, 2026, the company renewed its certification as a DX Certified Business Operator under the certification system administered by the Ministry of Economy, Trade and Industry (METI), following a screening process conducted by the Information-technology Promotion Agency, Japan (IPA).

●DX Certification System – The DX Certification System (no translation available: https://www.ipa.go.jp/digital/dx-nintei/about.html) is Japan’s initiative to certify companies that have developed visions, strategies and systems to achieve digital transformation (DX), and are recognized as DX Ready to drive DX initiatives in accordance with the Digital Governance Code set by METI based on the Act on Facilitation of Information Processing.

– Find out list of DX certified business operators here (no translation available): https://disclosure.dx-portal.ipa.go.jp/p/dxcp/top transcosmos was first certified as a DX Certified Business Operator under the DX Certification System in April 2022. This marks the company’s second successful renewal, following its previous renewal in 2024. transcosmos is a trademark or registered trademark of transcosmos inc. in Japan and other countries. Other company names and product or service names used here are trademarks or registered trademarks of respective companies.

ZEISS India Strengthens Portfolio with the Launch of ZEISS ClearMind Lenses

~ Introducing are first-of-its-kind ZEISS prescription lenses to provide extremely clear vision designed to reduce cognitive load~

 Apr 2: ZEISS, a pioneer of science in optics announces the launch its latest prescription lenses ZEISS ClearMind lenses in India. The all-day lenses addition to the lens portfolio delivers clear vision while reducing cognitive load due to blur for daily eyeglass wearers. For eye care professionals this offering elevates their practice with advanced lens technology that supports both visual performance and comfort.

In today’s fast-paced world with countless visual stimuli to process, there is an increase in information overload where individuals may feel overwhelmed. With pre-existing conditions of blur on spectacle lenses, the ability to identify and interpret complex stimuli is compromised. ZEISS ClearMind lenses are built on a unique design that reduces and smooths optical errors, increasing the clear vision zones and reducing peripheral lens blur thus reducing cognitive load.

Commenting on the addition to the lens portfolio, Rohan Paul, Business Head – India & Neighboring Markets, Vision Care, ZEISS India, said, “At ZEISS, innovation is at the core of everything we do. We are committed to protecting vision & visual health of world’s consumers. The launch of ZEISS ClearMind lenses reflects our continued focus on developing advanced optical solutions that enable individuals to see better, clearer and experience better comfort in their daily lives. We look forward to the positive impact these lenses will have, in collaboration with our valued business partners, as we continue to reach individuals seeking effective and personalized eye care solutions.”

Benefits of ZEISS ClearMind lenses at a glance

• ZEISS ClearMind is a new, premium, all-day lens portfolio with larger zones of clear vision embedded with ZEISS NeurOptix technology
• In consumer studies, 96 % of wearers confirmed extremely clear vision. 9 out of 10 wearers also experienced less cognitive load in a blind test compared to a standard ZEISS progressive lens
• The lenses are available for all age groups to promote perceived overall well-being, and good vision

Backed by scientific research to reduce cognitive load

Research conducted at the ZEISS Vision Science Lab (Tübingen University, Germany) established a direct connection between lens-induced blur and increased cognitive load. In consumer studies, 96% of wearers reported extremely clear vision when using ZEISS ClearMind lenses. 9 out of 10 wearers experienced reduced cognitive load compared to standard progressive lenses. Many wearers also reported an improvement in overall well-being while using the lenses. They also highlighted the importance of comfortable vision while staying focused for long hours.

Embedded with ZEISS NeurOptix technology for improved visual clarity

By aligning lens clarity zones to natural eye-movement patterns, ZEISS NeurOptix technology aims to reduce the brain’s cognitive load, provide more relaxed, effortless vision, as well as improve comfort during long days of digital, visually busy and dynamic activity. As a result, ZEISS Progressive ClearMind lenses offer up to 41% larger near-vision zones compared to ZEISS SmartLife progressive lenses. The technology also supports fast adaptation. 88% of wearers adjust within a few days, and over half within just an hour.

All-day lens portfolio includes single vision, progressive and digital focal types

ZEISS Single Vision ClearMind lenses are designed for 18+ wearers with blurry vision near or far. They reduce peripheral blur and provide larger clear vision zones than standard ZEISS lenses. ZEISS Digital ClearMind lenses are made for 35+ wearers experiencing blurry vision and tired eyes. They reduce blur and offer larger vision zones than ZEISS Digital SmartLife lenses. The design supports natural viewing habits and ensures smooth transition to near vision. It also enables an easier shift to progressive lenses in the future. ZEISS Progressive ClearMind lenses are designed for 45+ wearers with presbyopia. They reduce and optimize peripheral blur, creating wider clear vision zones than ZEISS SmartLife progressive lenses. They support smooth transitions across distances and improve overall visual flow.

HCLTech launches AI Force 2.0 to deliver enterprise-grade Agentic AI

NEW YORK and NOIDA, Apr 1:  HCLTech, today announced the launch ofAI Force 2.0, the next evolution of its proprietary enterprise AI platform.

The new version integrates agentic intelligence with generative AI to help enterprises accelerate and augment workflows across software and data engineering, IT operations and enterprise business processes. It also improves decision‑making and business process efficiency, while maintaining strong governance, security and measurable ROI.

AI Force 2.0 is a model agnostic, modular platform unifying engineering, operations and applications within a single intelligence fabric. The platform enables AI agents to analyze data, make context aware decisions and take autonomous action at scale.

The platform offers an extensive library of prebuilt assets, including prompts, agents, workflows and ready-to-deploy use cases, while allowing enterprises to create and customize solutions aligned to their specific needs. AI Force 2.0 also strengthens HCLTech’s enterprise governance framework through embedded Responsible AI evaluators that ensure trust, auditability and fairness.

“AI Force 2.0 represents a significant leap forward in how enterprises harness AI solutions for transformation. By unifying agentic intelligence with enterprise‑grade GenAI, we are enabling our clients to fundamentally reimagine software, data and operations lifecycles. This platform is engineered to deliver deep automation, accelerated modernization and unprecedented agility, helping global enterprises move faster, operate smarter and unlock value at scale,” said Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech.

Liquibase Unveils Change Intelligence and New Connectors for Governed Database Delivery

AUSTIN, Texas–Liquibase, the leader in Database Change Governance, today unveiled Liquibase Change Intelligence and a new suite of Liquibase Secure Deployment Connectors, expanding how enterprises understand, govern, and operationalize database change across modern delivery environments.

The new capabilities are designed to help teams understand database changes, monitor delivery performance, identify risk earlier, resolve issues up to 95% faster, and centralize audit evidence, while extending governed database change into the systems where developers, DBAs, and change teams already work, including ServiceNow, GitHub, Harness, and Terraform.

The announcement addresses a persistent gap in enterprise delivery. While application and infrastructure changes have become more automated, observable, and standardized, database change still too often moves through ticket attachments, side-channel SQL, manual approvals, and inconsistent execution paths. The result is slower investigations, weaker auditability, and more risk around outages, data integrity, and compliance.

Change Intelligence helps teams see what changed and respond faster

Liquibase Change Intelligence is designed to give teams a clearer view of what changed, how changes are moving across environments, where drift is emerging, and what requires attention next.

It brings together deployment activity, environment-level change status, drift signals, policy outcomes, and operational history so teams can answer critical questions faster: What changed? Where did it fail? Which environments are out of sync? Is drift increasing? What needs to be fixed now?

When failures occur, Change Intelligence is designed to help teams investigate with greater speed and context through AI-driven analysis that identifies likely causes and provides remediation guidance. Instead of forcing teams to reconstruct events from scattered logs, tickets, and tribal knowledge, it gives them a more direct path from issue to understanding to action.

Change Intelligence is also designed to help organizations centralize audit evidence for what changed, who approved it, where it ran, and what happened. That gives engineering, security, and compliance teams a more structured and accessible record of database change activity, reducing reliance on screenshots, manual evidence gathering, and fragmented reporting.

“Teams should not have to piece together the lineage of a database across environments from scattered logs, tickets, and tribal knowledge,” said Pete Pickerill, co-founder of Liquibase. “Change Intelligence is designed to help teams understand what changed, spot risk earlier, and move faster with AI-driven analysis and remediation guidance when failures happen.”

New connectors extend governed database change into the tools teams already use

Liquibase also unveiled a new suite of Liquibase Secure Deployment Connectors designed to extend governed database change into the platforms many enterprises already use to plan, approve, and deliver work.

For teams using ServiceNow, the connector is designed to bring database change into the existing approval process so approved tickets can result in governed, auditable deployments instead of manual SQL execution and disconnected handoffs.

For teams using GitHub, the connector is designed to bring database change into the same pull request and workflow model already used for application code, adding policy checks, validation, and deployment history tied to commits and branches.

For teams using Harness, the connector is designed to preserve existing pipelines while adding stronger governance, centralized visibility, and compliance-grade auditability around database changes.

For teams using Terraform, the connector is designed to extend infrastructure as code to the database layer, connecting Liquibase Secure to Terraform-managed instances through existing pipelines while enforcing database policies, applying versioned changeSets, and maintaining a complete audit trail over time.

Together, the connectors are designed to remove one of the biggest barriers to stronger database governance: the belief that teams need to rebuild their workflows to get it. Instead, Liquibase is extending governed database change into the systems teams already use, while strengthening traceability, standardization, and audit evidence across the delivery lifecycle.

“CIOs are asking for flexibility without more fragmentation,” said Mirek Novotny, Senior Director of Product at Liquibase. “They want solutions that fit the way teams already work, support the breadth of their database environments, and still create a consistent standard for governance. That is exactly what these innovations are designed to deliver.”

Built for a new era of AI, data integrity, and operational accountability

The new capabilities reflect a broader shift in how enterprises are thinking about AI readiness and operational risk.

As AI initiatives expand, more changes are being generated, reviewed, and pushed through delivery systems at higher speed and greater scale. But when database change remains inconsistent, weakly governed, or hard to trace, the resulting risk does not stay isolated at the database layer. It carries into applications, analytics, automation, and AI-driven systems.

By helping organizations better understand database changes, catch drift earlier, investigate failures faster, and centralize audit evidence, Liquibase is giving enterprises a stronger operational foundation for trusted applications, data products, and AI initiatives.

Availability

Liquibase Change Intelligence, Liquibase Secure Deployment Connectors, and related capabilities are expected to begin rolling out in fall 2026. Additional details will be shared closer to availability.

Tamam Finance Taps TrafficGuard to Curb Fraudulent Installs, Boost Attribution Integrity

GMEX Robotics Advances Development of Intelligent Robot Chassis

SYDNEY, Australia, March 31, 2026  — GMEX Robotics Corporation (NASDAQ: GMEX) (“GMEX Robotics” or the “Company”), a developer of AI-powered robotic technologies, announce today that it is advancing the development and integration of its Intelligent Robot Chassis, a key innovation designed to enhance the resilience, mobility, and operational safety of autonomous robots across industries. In connection with this technological advancement, GMEX is in the process of securing intellectual property recognition in key markets, including Southeast Asia, China, Australia, and the United States, as part of its broader technology strategy.

“This next-generation chassis represents another milestone in GMEX Robotics’ ongoing commitment to advancing core robotics technologies,” said Sam Lu, CEO of GMEX Robotics. “With our expanding technology portfolio spanning robotic control systems, perception algorithms, and electromechanical hardware, we continue to strengthen our ability to deploy resilient autonomous systems globally while creating long-term value for our shareholders. Integrating this innovative technology into our R&D ecosystem enhances operational performance across multiple sectors.”

The Intelligent Robot Chassis addresses one of the most critical challenges in robotics: protecting internal components from damage caused by uneven surfaces, shocks, and vibrations during movement. By integrating multi-stage buffering systems, including a primary buffer member and multiple secondary buffer members, the chassis minimizes bump amplitude, reducing the likelihood of damage to sensitive sensors, actuators, and onboard computing systems. The chassis incorporates three core technologies, Structural Health Monitoring (SHM), Active Vibration and Shock Isolation, and Thermal and Environmental Management, transforming robots from fragile assemblies into resilient, self-aware systems that maximize operational uptime and return on investment.

The Intelligent Robot Chassis acts as the GMEX robot’s central nervous system, combining structural design with sensors, actuation, and onboard processing to ensure safe operation in complex environments. Key applications include:

• High-Risk Inspection and Public Safety: Robots in disaster zones, nuclear sites, or bomb disposal missions use smart suspension and traction control to protect expensive sensors and tools from damage
• Field Robotics (Agriculture and Mining): Chassis absorb shocks from rocks, debris, and rough terrain, keeping sensors and processors safe in orchards, mines, and other tough outdoor environments
• Medical and Surgical Support: Delivery robots in hospitals detect collisions and protect fragile medications or lab samples while navigating crowded corridors
• Logistics and Warehouse Automation: Heavy-load robots monitor and adjust for weight and motion to prevent damage to motors, navigation systems, and payloads
• Urban Delivery and Last-Mile Robots: Sidewalk robots adjust clearance for curbs and obstacles and alert maintenance if the chassis or payload is compromised

GMEX Robotics continues to advance commercialization efforts for this technology across industrial, commercial, and public safety sectors, leveraging its internal and external expertise to develop autonomous navigation, human-robot collaboration, and precision control capabilities.

A browser built for SMBs: NordLayer launches NordLayer Browser

The new NordLayer Browser offers small and medium-sized companies comprehensive, streamlined, and optimized advanced security through a user- and business-friendly experience

NordLayer, a toggle-ready network security platform for businesses from the cybersecurity leaders that created NordVPN, has officially launched the NordLayer Browser — an enterprise-grade solution tailored to small and medium-sized businesses (SMBs). To safeguard company operations, it integrates browser-native security, enhanced observability, and access management and control into a single platform, delivering a familiar and intuitive experience for users with effortless deployment and management for businesses.

“Companies increasingly depend on web-based software-as-a-service (SaaS) applications. Consequently, the browser has become the new endpoint,” says Andrius Buinovskis, head of product at NordLayer. “Traditional consumer browsers with no built-in security controls are insufficient to safeguard organizations in the current cyberthreat landscape. However, existing enterprise browser solutions are too complex and demanding for SMBs. The NordLayer Browser fills the market gap by delivering streamlined, advanced security that is simple to deploy and effortless to use.”

Leading research and advisory firm Gartner predicts that by 2028, 25% of organizations will deploy at least one secure enterprise browser technology to address specific gaps in their cybersecurity strategy. Gartner also predicts that by 2030, enterprise browsers will be the core platform for workforce productivity and security software on managed and unmanaged devices for a seamless hybrid work experience. These predictions are a direct response to cybercriminals frequently targeting employees via web-based and SaaS-use related attacks, like phishing, malicious browser extension campaigns, and account takeovers, that call for an additional layer of control and visibility within the browser.

The lack of dedicated IT staff, coupled with limited cybersecurity budgets, makes SMBs an attractive target for cybercriminals. A report from NordStellar, a threat exposure management platform, revealed that SMBs — companies with up to 200 employees and revenues up to $25 million — bore the brunt of all ransomware attacks last year.

“The NordLayer Browser reflects a deep understanding of SMB cybersecurity needs and is backed by extensive industry experience,” says Buinovskis. “It offers deep observability, browser-native security, as well as access management and control without the complexity, rigidity, deployment challenges, or enterprise price tag. All of the features are designed to empower IT admins while maintaining a seamless browsing experience for employees.”

Key solutions of the NordLayer business browser include:

Girikon.AI’s GirikVoice Boosts Customer Engagement by Up to 40 Percent

New Delhi,  Mar 31 : Girikon.AI, a technology company building AI-powered SaaS solutions for customer engagement and business operations, has observed early performance gains from enterprises adopting its AI-driven voice platform, GirikVoice. Based on initial deployments, businesses are seeing up to 40% improvement in response times, along with noticeable gains in customer engagement efficiency and a reduction in missed or unattended customer interactions.

These early indicators reflect a broader shift in how enterprises are managing customer communication. As organisations handle increasing volumes of interactions, there is a growing need to move beyond manual and reactive systems toward more intelligent, scalable, and responsive engagement models. AI-powered voice is emerging as a key enabler in this transition.

GirikVoice is an AI-first, multilingual voice platform designed to integrate seamlessly with enterprise CRM and service ecosystems. Powered by generative AI and machine learning, the platform enables organisations to automate voice interactions, deliver real-time responses, and capture actionable insights within their existing workflows. By reducing dependency on manual call handling, enterprises are able to improve responsiveness while maintaining consistency in customer communication.

A key strength of the platform lies in its multilingual and vernacular capabilities, particularly relevant for diverse markets like India. By enabling businesses to interact with customers in their preferred language, GirikVoice helps enhance accessibility, improve engagement quality, and support more effective communication outcomes. This has shown strong relevance in sectors such as real estate, healthcare, and other service-led industries, where timely and clear communication plays a critical role.

Commenting on these early trends, Alok Anibha, Founder, Girikon.AI, said:

“What we are seeing across early deployments is a clear shift in expectations. Customers want faster, more natural conversations, and enterprises are looking for ways to deliver that at scale. AI-powered voice is helping bridge that gap not by replacing human interaction, but by making it more efficient, responsive, and accessible. These early observations reflect how voice is evolving into a more intelligent and reliable engagement layer for businesses.”

As enterprises continue to adopt AI-driven communication technologies, the role of voice is expected to expand beyond traditional support functions into a more strategic interface. With increasing emphasis on speed, personalization, and accessibility, AI-powered voice solutions are set to play a central role in shaping the future of customer engagement.

India’s Semiconductor Drive: Pioneering a Self-Reliant Tech Future

India is no longer just a spectator in the global technology race—it is actively shaping the future. With a bold vision for the 21st century, the country is making strategic moves to establish itself as a leader in semiconductor manufacturing and innovation, a sector that forms the backbone of modern technology.

The journey gained momentum in 2021 with the launch of the India Semiconductor Mission (ISM). More than an industrial policy, the ISM was a statement of confidence, signaling India’s readiness to compete globally and become a reliable supplier of semiconductors. These tiny but critical components power everything from smartphones and laptops to automobiles, medical devices, and advanced defense technologies, making them indispensable in today’s digital world.

A major milestone in this effort is the inauguration of the Kaynes Semicon facility, a state-of-the-art manufacturing hub. This facility strengthens India’s push for self-reliance in chip production, reducing dependence on imports while creating a strong domestic ecosystem for design, fabrication, and testing. Experts say it marks a transformational step toward building a sustainable semiconductor industry in India.

The implications of this initiative extend far beyond manufacturing. By fostering domestic expertise, encouraging research, and attracting global investment, India is laying the foundation for a high-tech economy that can compete on the world stage. From supply chain resilience to job creation, the benefits of a robust semiconductor ecosystem are manifold, making India an active participant in shaping the future of global technology.

As the Prime Minister’s Office recently remarked, it is now “time to shape the future tech landscape.” With initiatives like the India Semiconductor Mission and facilities such as Kaynes Semicon, India is demonstrating a clear commitment to innovation, self-reliance, and technological leadership—a strategy that promises to define the nation’s role in the global tech ecosystem for decades to come.