Altair today announced the most significant software update release in the company’s history. All of Altair’s software products have been updated with advancements in user experience and countless new features, including intuitive workflows that empower users to streamline product development, allowing customers to get to market faster.

The software update release expands on the number of solutions available for designers, engineers, data analysts, IT and HPC professionals, facility managers, and more to drive better decisions and accelerate the pace of innovation. It broadens the scope of the new user experience, enables access to more physics, data analytics, and machine learning, and makes the Altair software delivery method more flexible and accessible.

“Our teams are always driven to develop and provide access to a range of different technologies that enable our customers to break through complex problems, and explore and discover on their own terms. This software update release is the largest collection of our applications for design, simulation, and data analytics,” said James Scapa, Chairman, Founder and chief executive officer of Altair.

Some of the most notable highlights enhance and bring new capabilities to the needs aligned to the following applications:

·   Structures

o   Altair HyperWorks™ – new interface to Altair’s solution for high-fidelity computer-aided engineering (CAE) modeling and visualization, making learning easy and productivity high

o   New subsystem entity for modular model configuration

o   Altair SimLab™ – fatigue optimization

o   Altair OptiStruct™ ­– includes the addition of new explicit solution and expanded implicit non-linear solutions including 2D axisymmetry

o   Altair SimSolid™ – includes advanced 3D seam weld connections to further improve speed

o   Altair Radioss™ – employs a dramatic reduction in runtimes for virtual drop testing of electronics devices
 

·   Fluids and Thermal

o   HyperWorks CFD – provides engineers and experienced computational fluid dynamics (CFD) specialists with the most productive CFD pre- and post-processing capabilities to-date

o   Altair AcuSolve™ – GPU acceleration yields 3-4 times increased speed while also supporting nucleate boiling, radiation, condensation/evaporation and multiphase fluid-structure interaction (FSI)

o   Altair ultraFluidX™ – includes a new, more accurate wall model and overset grid technique

o   Altair nanoFluidX™ – is three times faster than the previous version
 

·   Industrial Design and Structures

o   Altair Inspire™ integration of Altair SimSolid™ solver includes support and connector reaction forces, instantaneous reaction time modeling large PolyNURBS models, and improved geometry generation from optimization

o   Inspire Studio – advanced morphing of any geometry type
 

·   Manufacturing

o   3D printing simulation available in Inspire with new unit cell lattice generation

·   Electromagnetics and Multiphysics

o   SimLab – electric motor modeling and coupling with AcuSolve and Altair Flux™; accommodates ECAD file import (ODB++)

o   Altair Feko™ – provides a component library tightly integrated with CADFEKO

o   Altair FluxMotor™ now includes thermal and acoustics evaluation

o   Flux includes several enhancements including those for modeling iron losses and skew type motors
 

·   Systems Modeling

o   Altair Activate™ – performs multi-physics system modeling with hardware-in-the-loop and Internet of Things (IoT) for digital twin development

o   Integration of EDEM bulk material modeling with multibody dynamics simulation and hydraulics ideal for heavy equipment and agricultural applications

o   Altair MotionView™ – has a two-wheeler vehicle dynamics library for motorcycles and scooters

o   Altair Compose™ – OpenMatrix Language available in Jupyter Notebook

o   Altair Embed™ – supports three additional target and two additional target families from ST Micro, VRTOS code modifications for MISRA compliance, and OpenCV DNN (Deep Neural Network) module integration

 

·   Data Analytics

o   Recent release of Altair Panopticon™ – platform for user-driven monitoring of real-time data – includes major update of cloud-based deployment, enabling users to build, modify, and share custom-designed functions and content easily via standard web browsers; hotfix to enable deployment at Nomura

o   Altair Knowledge Hub™ – improved messages for troubleshooting and robustness; security hardening; more flexible Windows deployment; deployment on Azure; transformations including continuous binning and lookup join (refactoring for performance) and more 

o   Altair Monarch™ – complex Excel input support – "Excel Trapping"; PDF extraction improvements; user experience and UI improvements; enhanced column list and more

o   Altair Knowledge Studio™ – new features including Keras model, model stacking, and pivot table; variable transformations node improvements with dataset and variable preview and re-ordering 

·        Smart Product Development

o   Altair SmartWorks™ – major re-architecture of the edge orchestration and augmentation; ability to validate the edge application in real-time environments and deploy at scale 

·        HPC and Cloud

o   Altair Access™ – updated “work from home” features; more responsive 3D remote visualization; internationalization; better job resource charts; two-factor authentication and single sign-on; share support on mobile 

o   Altair Accelerator™ – EDA workload support on AWS (with Rapid Scaling), Microsoft Azure, and GCP; 10x faster for dynamic workloads; container improvements; REST query API; IPv6

o   Altair PBS Professional® – scalability improvements towards exascale; Cray Shasta support; container enhancements for converged AI+HPC workloads; better system maintenance support. (MT)

Delhi NCR-headquartered electric vehicle company Omega Seiki Mobility (OSM) has partnered Electra AI to integrate battery health monitoring across its fleet operations.

The collaboration incorporates Electra AI’s analytics platform into OSM’s electric commercial vehicles. The technology enables real-time tracking, predictive maintenance and state-of-health diagnostics for battery packs. The data metrics aim to support warranty management, optimise vehicle uptime, assist financing assessments and provide residual value tracking for secondary market sales.

Uday Narang, Founder and Chairman, Omega Seiki Mobility, said, "The next phase of EV growth in India will not be driven solely by new vehicle sales, but by the creation of a credible and thriving secondary market. Battery health is the single biggest determinant of an EV's residual value, and until that can be measured transparently, the used EV market will remain constrained. Through our partnership with Electra AI, we are bringing unprecedented visibility into battery performance, enabling buyers, financiers, and fleet operators to make informed decisions with confidence. This will help improve resale values, unlock greater access to financing, and accelerate the adoption of electric mobility by ensuring that EVs remain valuable assets throughout their lifecycle."

Vivek Dhawan, Chief Strategy Officer, Omega Seiki Mobility, said, “As electric mobility scales, the industry must move beyond selling vehicles and focus on delivering intelligence that improves asset performance throughout its life. By integrating Electra AI's advanced analytics into our ecosystem, we will gain deeper operational insights that help enhance fleet productivity, reduce unplanned downtime, strengthen warranty management, and support data-driven product development. This collaboration represents an important step towards building a smarter, more efficient, and technology-led mobility ecosystem that creates tangible value for customers, partners, and stakeholders alike."

Fabrizio Martini, Co-Founder and Chief Executive Officer, Electra AI, stated: “Vehicle makers like OSM are being asked to put more capable, more affordable EVs on the road every year — and to stand behind them with confidence. Our AI Brain for Batteries platform gives them the real-world intelligence to do exactly that: design better vehicles, offer stronger assurance to their customers, and keep fleets running. That’s what battery intelligence is for — turning data into trust across the whole ecosystem, from the OEM to the financier to the operator.”

The deployment aims to support commercial fleet operators across India by reducing maintenance delays and improving total cost of ownership visibility.

Hyundai Motor India, in partnership with Radio Mirchi, has launched the Hyundai Traffic Quality Index, a standardised traffic rating framework designed to convey real-time road conditions across seven major Indian cities. The initiative operates across Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune and Kolkata.

The system translates live traffic inputs, on-ground reports and official traffic police advisories into a numerical scale from 1 to 10. The ratings are categorised into three colour-coded tiers: 1 to 3 represented in green for light traffic, 4 to 7 in yellow for moderate traffic and 8 to 10 in red for heavy congestion. Updates are broadcast over Radio Mirchi’s audio network to inform drivers during commutes without requiring direct interaction with mobile devices.

The system processes real-time location data alongside updates regarding road closures, diversions, and civic works. Hyundai Motor India and Radio Mirchi plan to expand the index to additional urban centres in subsequent phases of the project.

Virat Khullar, Head of Marketing, Hyundai Motor India, said, “At Hyundai, our commitment to road safety has always extended beyond the vehicle itself. For over three decades in India, we have continuously invested in technologies and initiatives that make mobility safer and smarter. With the Hyundai Traffic Quality Index, we are taking that commitment a step further by empowering commuters with actionable information. We believe informed and technology enabled decisions lead to safer roads, calmer driving behaviour and better commuting experience. Our vision is for Hyundai Traffic Quality Index to evolve into a daily utility that millions of Indians rely on, much like they check the weather or the Air Quality Index before stepping out.”

Yatish Mehrishi, Chief Executive Officer, ENIL, said, “Radio has always been a trusted companion for people on the move. With the Traffic Quality Index, we are taking that relationship a step further by making traffic information simpler, more consistent and more useful for everyday commuters. Our presence across cities, supported by our RJs, on-ground teams and real-time local insights, gives us a unique understanding of how people experience their daily commute. TQI brings these insights together in an easy-to-understand format that can help people make better decisions on the road. We are delighted to partner with Hyundai to build a public utility that can make urban commuting smarter and safer. It is a strong example of how media, technology and local intelligence can come together to solve an everyday consumer need.”

ACP Ravindra Pandit of Delhi Traffic Police, added, “The Hyundai Traffic Quality Index is a commendable initiative that empowers us to keep commuters informed about congestion, diversions, and other traffic-related issues on specific routes. By receiving timely and accurate updates, motorists can make informed decisions and opt for alternate routes, reducing inconvenience and easing congestion. Timely dissemination of reliable traffic information benefits both the public and traffic authorities, making overall traffic management more efficient and commuter-friendly.”

Anil Patil, Regional Transport Officer for Mumbai West, commented, “Understanding and managing traffic more effectively has become increasingly important today. TQI will help us better understand traffic conditions, improve awareness among citizens, and provide valuable support in making traffic management more efficient.”

IPS Manoj Patil, Additional Commissioner of Police for Pune City, said, “Traffic Quality Index can give the traffic police a different kind of study and analysis. Especially because it will include inputs and suggestions coming directly from citizens. So, we will get an independent understanding of the actual traffic situation. I feel this can be extremely useful for us while planning future traffic management as well as infrastructure projects. So, I really welcome this initiative If we are able to measure the traffic quality index in this manner, it will definitely have an overall impact on our deployment and the way we manage traffic.”

Dr B. Shamoondeswari, Additional Commissioner of Police (Traffic) for Greater Chennai Police, said: “Just like AQI helps us understand air quality, TQI will help us understand traffic quality. It’s a great initiative that can make people more aware, help manage congestion, and contribute towards smoother traffic movement in our cities.”

ACP A. Krishnaiah of LB Nagar Traffic Police in Hyderabad noted: “The Hyundai Traffic Quality Index is a valuable initiative that helps commuters stay updated on traffic congestion, diversions, and other route-related issues. Access to timely and reliable traffic information enables motorists to plan their journeys better and choose alternative routes when required. This not only reduces travel inconvenience but also helps ease traffic congestion. Overall, the initiative supports both commuters and traffic authorities by making traffic management more effective, responsive, and commuter-friendly.”

Open-source autonomous driving software company TIER IV has joined the Next-Generation Edge AI Semiconductor Research and Development Programme, led by the Japan Science and Technology Agency (JST). The initiative focuses on the development of a software-defined system-on-chip (SoC) designed for Level 4 autonomous driving applications.

As part of the programme, a team led by Professor Yoshihiro Kawahara at the University of Tokyo is researching physical AI chip design based on specific use cases. Concurrently, TIER IV is developing the logic design for an AI chip aimed at processing inference for end-to-end autonomous driving systems. TIER IV plans to open-source the resulting logic design, compiler, and software toolchain to allow semiconductor manufacturers and developers to modify and build upon the hardware architecture.

The project focuses on developing hardware architectures tailored for Transformer AI models, which process sensor data from cameras and point clouds for perception and motion planning.

The chip design incorporates dedicated circuits for matrix multiplication and attention mechanisms, aiming to reduce power consumption from external memory transfers. To maintain software adaptability, TIER IV is integrating the Tensor Operator Set Architecture (TOSA) as an intermediate representation layer between AI frameworks such as PyTorch and the chip hardware.

The initiative also applies formal verification techniques to mathematically trace numerical consistency during AI model compilation.

Shinpei Kato, Founder and Chief Executive Officer, TIER IV, said, “Advances in AI have been accelerated by powerful computing platforms, including GPUs, which have enabled rapid progress across the industry. As Level 4 autonomous driving moves toward broader deployment, we believe the next step is to complement these platforms with computing architectures designed for real-world and real-time requirements. Through this initiative, we are introducing a software-defined and open approach to AI chip design that combines power efficiency, adaptability, transparency and verifiability. In particular, the ability to understand how an AI model is transformed for execution and to verify the correctness of that processing will be increasingly important as autonomous driving systems are deployed in safety-critical environments. By extending the open-source philosophy behind Autoware from software to AI chip design and related toolchains, we aim to create an open ecosystem in which automakers, semiconductor manufacturers and developers can build upon the technology and continue advancing their own systems. This represents an important step toward a scalable, adaptable and reliable computing foundation for Level 4 autonomous driving.”

Professor Yoshihiro Kawahara stated, “In physical AI applications such as robotics and autonomous driving, GPU power consumption has long been a major bottleneck for deployment on battery-powered devices. This project aims to fundamentally overcome this constraint through a functionally differentiated chip design backward-mapped from specific use cases. I look forward to TIER IV developing chips responsible for high-level decision-making – specifically, the high-level behavioural layer that handles the thinking process essential for end-to-end physical AI and autonomous driving. As the leading force behind Autoware, the global standard open-source software for autonomous driving, TIER IV is democratising design, with an approach spanning application requirements to hardware. This enables applied researchers to shape their ideal semiconductors. This initiative, supported by an open ecosystem, has the potential to lay the foundations for a steady stream of Japanese startups creating high-value semiconductors.”

American automotive supplier Stoneridge, Inc. has announced details of its EVO ECU Platform, which will debut at IAA Transportation 2026 in Hanover, Germany.

The electronic control unit (ECU) is engineered for commercial vehicles, buses, coaches and off-highway applications to consolidate system architecture and support software-defined capabilities.

The platform replaces multiple individual control units with a centralised processing architecture designed to manage vehicle data, enable remote software updates and facilitate diagnostics.

The ECU is developed in collaboration with technology partner Renesas Electronics using its R-Car system-on-chip technology and the hardware is built to withstand operating conditions involving temperature variations, vibration and dust exposure.

Christian Leblanc, Global Vice-President of Product and Project Management, Stoneridge, said, “Commercial vehicles are becoming increasingly connected and intelligent, but traditional vehicle architectures were not designed to support the pace of innovation happening today. EVO provides a scalable platform that helps simplify integration, improve vehicle performance and give our customers the flexibility they need to adapt as technology continues to evolve.”

“Fleet customers were at the centre of our development process. EVO helps enable faster troubleshooting, fewer service interruptions and the ability to continuously improve vehicle capabilities throughout the vehicle lifecycle,” added Leblanc.

The software structure was developed alongside Green Hills Software to segregate safety-critical operations while allowing system updates. Additionally, Stoneridge partnered with indie Semiconductor to produce the platform's image processor, supporting camera integration and driver assistance systems.

Natalia Noblet, President and CEO, Stoneridge, said, “Our industry is undergoing a significant transformation, driven by increasing connectivity, automation and evolving regulatory requirements. EVO represents our commitment to helping customers navigate that transformation with a flexible platform designed to support innovation today and tomorrow.”

Aish Dubey, Vice-President and Head of the HPC SoC Division, Renesas Electronics, commented, “Stoneridge’s EVO ECU Platform demonstrates how commercial-vehicle manufacturers can modernise vehicle electronics for demanding operating environments. Our collaboration brings together Stoneridge’s commercial-vehicle expertise and Renesas’ R-Car system-on-chip, power-management and programmable mixed-signal technologies to create a scalable, automotive-grade foundation for connected and software-defined commercial vehicles.”

The system has undergone field testing within the Stoneridge Innovation Truck demonstrator vehicle, which will be exhibited alongside the platform at the Hanover trade show.