Dassault Systèmes has announced its 3DEXPERIENCE platform will be used by Mahindra & Mahindra on the cloud to accelerate its end-to-end new product development process.

Mahindra is said to have strategically opted to adopt the 3DEXPERIENCE platform for its future auto programs, allowing it to improve the efficiency of processes and reduce the time to market of safer and more sustainable vehicles. The manufacturer, in specific will make use of the ‘Drive Emotion,’ ‘Global Modular Architecture’ and ‘Smart Safe and Connected’ solutions based on the 3DEXPERIENCE platform to connect thousands of users, employees and suppliers in one virtual environment encouraging collaboration and innovation.

Working on the cloud will allow teams to quickly adopt best industry practices, collaborate and access real-time information across product planning, design, engineering, strategic sourcing, and digital manufacturing domains.

“Mahindra & Mahindra has a long-standing partnership with Dassault Systèmes and they continue to put their trust in our solutions to develop the next generation of their vehicles,” said Laurence Montanari, Vice President — Transportation & Mobility Industry, Dassault Systèmes. “Vehicle development is complexifying every day due to regulations. Our 3DEXPERIENCE platform on the cloud addresses this complexity.”

“We wanted high-performance technology that would enable us to launch innovative vehicles faster and fulfill our sustainability ambitions.  With Dassault Systèmes’ expertise and 3DEXPERIENCE platform, we can deepen collaboration, and expedite problem identification and resolution, leading to streamlining new vehicle launch timelines,” said Rucha Nanavati, CIO, Mahindra & Mahindra.

Comments (0)

ADD COMMENT

Link Copied!

AEye, Inc. and MoveAWheeL have signed a Memorandum of Understanding to explore the integration of their sensing technologies for use in Advanced Driver Assistance Systems (ADAS) and autonomous driving applications.

The partnership aims to combine AEye’s lidar perception with MoveAWheeL’s road-surface sensing to assist vehicles in interpreting surroundings and road conditions.

The collaboration will evaluate the pairing of AEye’s Apollo LiDAR sensor with MoveAWheeL’s friction-coefficient prediction technology. Apollo is a 1550-nanometer LiDAR sensor capable of detecting objects at distances of up to one kilometre. MoveAWheeL’s sensor uses acoustic sensing to estimate the friction of road surfaces, providing data to inform decisions regarding acceleration, braking and stability control.

Matt Fisch, Chairman and CEO of AEye, said, “Physical AI depends on giving machines the ability to accurately perceive and understand the real world. Apollo was designed to deliver long-range, real-time 3D perception that helps systems see farther and react earlier in complex environments. By exploring the integration of Apollo with MoveAWheeL’s road-surface intelligence, we have the opportunity to create an even deeper understanding of the driving environment, particularly in the adverse conditions where advanced safety systems are needed most.”

Dr. Min-Hyun Kim, Founder and CEO, MoveAWheeL, said, “While LiDAR provides the ‘eyes’ for a vehicle to see obstacles, MoveAWheeL provides the ‘tactile sense’ to feel the road. By integrating our Physical AI with AEye’s long-range perception, we are creating a complete safety stack that remains robust even in the most treacherous weather conditions.”

Comments (0)

ADD COMMENT

Link Copied!

Bengaluru-headquartered L&T Technology Services (LTTS) has inaugurated its first Engineering Intelligence Centre of Excellence (EI CoE) in Munich, Germany. The facility marks a step in the company's Engineering Intelligence (EI) strategy, which focuses on embedding AI across the engineering lifecycle to support intelligent products, autonomous operations and manufacturing systems.

The centre aims to assist global enterprises in transitioning from AI experimentation to industrial transformation by combining domain engineering expertise with technologies such as GenAI, Agentic AI, multimodal AI, Physical AI and edge intelligence. LTTS states that it has filed over 237 patents in AI and GenAI during FY2026.

Located within a technology ecosystem, the Munich EI CoE will function as a collaborative hub for clients in the mobility, industrial products, sustainability and technology sectors. Its work will focus on: Applied AI solutions, Intelligent manufacturing, Software-defined products, Predictive operations and Connected engineering ecosystems.

At present, LTTS serves more than 60 clients in Europe with a team of over 4,500 engineers. The new centre is intended to improve local collaboration with clients, partners and academic institutions, facilitating outcome-driven innovation.

Amit Chadha, Chief Executive Officer & Managing Director, L&T Technology Services, said, “LTTS’ first EI Centre of Excellence in our Munich design centre is a milestone as it brings our deep-tech and EI-based solutions closer to the clients’ R&D hubs across the region. The centre will act as a focal point for innovation, R&D and new product development, redefining how products, platforms and manufacturing are engineered and optimised in the AI era.”

Comments (0)

ADD COMMENT

Link Copied!

European automaker Stellantis has announced a strategic initiative with Accenture to deploy artificial intelligence (AI)-enabled digital twin capabilities across its global manufacturing network using Nvidia technologies. The project focuses on creating virtual manufacturing environments powered by real-time data and physical AI.

The collaboration integrates Stellantis's automotive infrastructure, Accenture’s digital manufacturing engineering and Nvidia’s accelerated computing platforms and Omniverse libraries.

The system uses virtual factory replicas to validate manufacturing processes prior to physical installation, track metrics for quality control and conduct predictive monitoring.

Initial testing and deployment of the digital twin infrastructure are scheduled to begin with pilot programmes in North America in 2026. The long-term objective is to evaluate scalability across the carmaker's international plant footprint to establish a predictive manufacturing model.

Francesco Ciancia, Head of Manufacturing, Stellantis, said, “We are laying the foundation for the next generation of manufacturing at Stellantis. By combining digital twins, AI and advanced simulation, we are rethinking how we design, operate and continuously improve our production systems. This initiative is designed to work hand in hand with our teams, enhancing their ability to anticipate issues, enabling faster decisions and continuous improvement. Together with Accenture and NVIDIA, we are exploring new ways to drive more scalable and intelligent operations.”

Tracey Countryman, Supply Chain and Engineering Global Lead, Accenture, added, “The opportunity in manufacturing today is to scale AI across complex industrial operations in ways that deliver measurable business value. By partnering with Accenture and harnessing Nvidia’s compute and simulation technologies, Stellantis is positioned to accelerate manufacturing reinvention and lead the industry into a new era of intelligent, high-performance operations.”

The computational framework is built to enable closed-loop optimisation, a process where physical assembly lines and virtual systems continuously exchange data to improve performance. The architecture supports automated throughput adjustment, maintenance scheduling and software-defined factory operations.

Comments (0)

ADD COMMENT

Link Copied!

Epsilon Advanced Materials (EAMPL) has developed a hard carbon anode material designed for sodium-ion batteries used in grid-scale Energy Storage Systems (ESS). Developed through internal research and development, the graphite-free material provides an alternative for cell manufacturers as sodium-ion chemistry gains adoption due to the abundance of sodium and its lower environmental footprint compared to lithium extraction.

The material utilises coconut shell waste as its primary carbon precursor. Through pyrolysis and high-temperature carbonisation, this agricultural byproduct is converted into a disordered carbon structure with the interlayer spacing and nanopore architecture required for sodium-ion storage.

This bio-based manufacturing process eliminates dependence on graphite and reduces carbon dioxide emissions by up to 50 percent compared to standard graphite anode production due to lower processing temperatures.

The microarchitecture of the hard carbon anode provides reversibility, cycle life, and charge-discharge capabilities required for grid applications undergoing repeated charge cycles.

The product launch follows commitments to sodium-ion cell production by global manufacturers, including CATL, alongside expanding research by cell manufacturers across Asia and India seeking components for energy storage systems.

Vikram Handa, Managing Director, Epsilon Group, said, “The clean energy transition needs materials that are affordable, available and easy to scale, faster. Sodium-Ion is the right chemistry for energy storage and Hard Carbon is the right anode for it. The feedstock is something India has in abundance, the process is cleaner than anything that came before it, and the performance is where it needs to be for real-world grid applications. We are building for what energy storage will look like ten years from now.”

The introduction of the hard carbon anode is part of Epsilon Group's expansion into battery materials, which also includes silicon-graphite anodes and Generation III Lithium Iron Phosphate (LFP) cathode active materials for lithium-ion applications. The expansion aims to establish manufacturing and export capabilities for battery components within India to support energy storage and electric vehicle sectors.

Comments (0)

ADD COMMENT

Link Copied!