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Business Standard
10 hours ago
- Automotive
- Business Standard
Aptiv opens new Chennai technical centre for AI, ML and safety systems
Aptiv, a global technology company focused on enabling a safer, greener, and more connected future, on Monday announced the opening of a new Software, Advanced Safety and User Experience (AS&UX) Technical Centre in Chennai, marking a significant milestone in the company's engineering expansion in India. Spanning more than 34,000 square feet, the new facility will support up to 500 engineers by 2026 and features advanced labs and test infrastructure to accelerate innovation in artificial intelligence (AI), machine learning (ML), and safety-critical systems. The centre was officially inaugurated by senior leaders from Aptiv and Mahindra, including Javed Khan, Executive Vice-President and President of Software, Advanced Safety and User Experience (AS&UX) at Aptiv, and R Velusamy, President, Automotive Business (Designate), Mahindra & Mahindra Ltd; Managing Director, Mahindra Electric Automobile Ltd; and Member of the Group Executive Board, Mahindra & Mahindra Ltd. 'We are proud to expand our presence in India with the launch of our new technical centre in Chennai,' said Javed Khan. 'This centre will strengthen our ability to localise AI/ML-powered ADAS and advanced interior sensing technologies for the Indian market, reflecting our confidence in India's engineering talent and bringing us closer to our customers—so together, we can build a safer, smarter future here in India.' This is Aptiv's fourth technical centre in India, reinforcing the company's engineering presence to address the evolving needs of local OEMs. The centre will spearhead the development of next-generation ADAS perception tools, in-cabin sensing technologies, and software-defined infotainment platforms. It will also contribute to Aptiv's cloud-native architecture, while leveraging integrated capabilities across hardware, software, and edge technologies from Wind River. By combining global scale with local relevance, the centre is uniquely positioned to deliver impactful, customer-focused solutions for this fast-growing market. Aptiv continues to invest in its AS&UX operations in India to accelerate the development, localisation, and production of advanced technology solutions tailored for local automakers. At present, Aptiv employs more than 13,000 people across the country, operating eight manufacturing plants, four technical centres, and a tooling centre—all playing a vital role in advancing the company's global mission to enable intelligent, software-defined systems across industries.
Time of India
13 hours ago
- Automotive
- Time of India
India emerges as Aptiv's possible export hub for ASEAN
Global auto technology supplier Aptiv is sharpening its India focus with new investments in Chennai and Bengaluru, aimed at serving domestic OEMs and potentially extending the reach into Southeast Asia. According to the company's top executive, India's role is no longer limited to cost arbitrage; but it is fast becoming central to the company's innovation and future growth. 'The auto industry has been undergoing a massive transformation,' Javed Khan, Executive Vice President & President, Software & Advanced Safety & User Experience (AS&UX), Aptiv , told ET Manufacturing. 'India started slow, but the pace has picked up dramatically. With our new centre here, we are working with OEMs like Mahindra who are moving very quickly.' India for India, with ASEAN in sight Aptiv executives underlined that their immediate focus is to build solutions designed, developed and manufactured locally. Yet the inauguration of the new Chennai tech centre has widened the horizon. 'Our focus right now is very much in India, for India. With today's inauguration we are building solutions designed and developed in India, manufactured in India, and for India,' said Matthew Cole (Mike), Senior Vice President & President, Global Advanced Safety & User Experience (AS&UX), Aptiv. 'That said, we do see potential to serve the ASEAN region from here in the future.' The Chennai facility, spread over 34,000 square feet, will host up to 500 engineers by 2026 and houses advanced labs to accelerate innovation in AI, ML, safety-critical systems and next-generation ADAS and in-cabin perception technologies. The centre was inaugurated in the presence of senior leadership from both Aptiv and Mahindra & Mahindra, underscoring the company's deepening engagement with domestic OEMs. 'Our Bengaluru centre is already Aptiv's largest global software hub. Chennai brings us closer to Indian OEMs. As we refine our solutions for India, a highly cost-sensitive market, we see opportunities to extend into ASEAN, leveraging Chennai as a delivery centre,' added Arun Devraj, Vice President & Managing Director, Advanced Safety & User Experience (AS&UX) APAC (Non-China), Aptiv. Asia already accounts for close to a third of Aptiv's global revenue-- around 29 per cent of its $19.7 billion sales in 2024. For the Dublin-headquartered firm, strengthening its base in India and looking at opportunities in ASEAN fits within this wider regional contribution, where cost-sensitive innovation is likely to remain a defining theme. Software defined vehicles are at the centre of Aptiv's strategy. Cars that can be continuously updated after sale offer significant benefits, from predictive maintenance to reduced lifetime costs. 'We do not see SDVs as premium-only. They actually reduce costs over time. At Aptiv we have developed a modular architecture where entry-level cars can use the same software stack with a less powerful computer while premium cars use more powerful computers but still share the base software. This makes the solution scalable and affordable,' said Khan. Safety will be another immediate priority. India and ASEAN both have high road fatality rates and current ADAS usage is limited. 'ADAS in India today is still basic, mostly ultrasonic sensors. There is little use of radar or vision systems. Given India's high road fatality rates, this is where we see the greatest opportunity to make an impact,' said Devraj. The company has so far prioritised passenger vehicles, beginning with Mahindra, but executives did not rule out expanding into two- and three-wheelers in the future. 'For two- and three-wheelers, the entry point is more cost-driven. While we may expand into that space later, we believe safety is the more immediate opportunity,' Devraj said. Building a talent hub for the future The Bengaluru tech centre has long been at the heart of Aptiv's global software engineering effort, with more than 2,000 engineers contributing to worldwide platforms. The new Chennai facility now complements that strength by focusing on localisation of AI/ML-powered ADAS and in-cabin sensing technologies. Together, the two centres are expected to serve as Aptiv's twin pillars in India, with an eye on wider regional relevance. Executives also linked the automotive transformation to broader computing parallels. 'In automotive, the change is not just about compute power but also the inclusion of neural processing units that enable AI and ML. We are moving toward the intelligent edge, where processing happens in the car rather than the cloud. This enables more advanced, personalised, and responsive in-vehicle experiences,' said Cole. The rise of electric vehicles is accelerating the shift. 'Your observation is correct, but it is more about legacy than technology,' Khan explained when asked why installing a dashcam is easier in EVs. 'ICE vehicles were built on older architectures, so wiring and compute integration are more complex. EVs often start with more modern architectures, making integration easier. Over time, as OEMs transition fully to zonal and SDV based architectures, the difference between ICE and EV will disappear.' Hiring will be central to Aptiv's plans. 'This expansion is about building in India for India. We expect to keep adding capacity as ADAS and in-cabin experiences become more technology driven. India remains a great talent hub not just for cost reasons but for expertise,' Khan said. Devraj pointed out that the company is preparing for an AI-led future. 'Just like mobile phones now market AI as a selling point, cars are heading in that direction. Conversational AI, edge computing and ADAS safety software will be major drivers of our hiring here.' Beyond automotive, Aptiv also sees potential crossover into other industries. 'Aptiv is deeply focused on building the technology stack for cars. But these same trends apply to other industries like robotics and drones. That is another area where Aptiv is investing, and India will play a role in that expansion too,' Khan concluded.
Forbes
09-07-2025
- Automotive
- Forbes
Living On The Edge: Where Physical And Digital Worlds Intertwine
Javed Khan, President of Software, Advanced Safety and User Experience. The manifestation of artificial intelligence (AI) is undergoing a fundamental shift. Already, we're moving beyond the theoretical capabilities of AI in the cloud to explore its tangible impact on the physical world. Increasingly, the most transformative AI applications are emerging not just in centralized data centers, but also at the intelligent edge—the point where real-time sensing, decision making and action converge within integrated systems. Consider the implications. From vehicles capable of navigating complex environments autonomously to industrial facilities that can dynamically adjust operations based on real-time data, edge-based AI is rapidly becoming the new benchmark for industries where speed, precision, safety and immediate responsiveness are critical. This isn't a gradual technological evolution; it signifies a profound rethinking of where intelligence resides and how it can deliver tangible value on a massive scale. The Intelligent Edge In Action Currently, examples of edge-based AI include familiar applications like facial and fingerprint recognition on our mobile devices, or even more complex autonomous systems such as industrial robots or delivery drones. While edge AI might sound abstract, its practical implementation resembles our own human body's intelligence system. Our body uses sophisticated sensors—our five senses—to capture environmental data: eyes detecting movement and light, skin sensing temperature, ears picking up sound vibrations and more. These sensory inputs connect to our brain—nature's powerful yet energy-efficient processing unit—which performs local computation without needing to consult external intelligence. Our learned behaviors and reflexes function like lightweight AI models, optimized for instant on-device execution rather than requiring conscious thought. Underpinning these components is our autonomic nervous system—similar to specialized edge operating systems—designed for real-time processing of critical functions. Finally, our ability to learn from others and update our knowledge through communication mirrors the cloud orchestration aspect, enabling seamless connectivity and continuous updates across our distributed neural network. This model is the functional blueprint that inspires advanced driver-assistance systems (ADAS) on the road today. In a typical ADAS cycle, AI models function much like our human learning process. Just as we develop core skills through childhood experiences, these AI models are trained on extensive datasets before being deployed to the vehicle's sensory organs—radar and cameras that serve as the car's eyes and ears. Our brain constantly processes new sensory information to refine our reactions and decision making. ADAS performs similarly by continuously gathering real-world driving data. This information flows back to update the core intelligence, similar to how our experiences shape our neural pathways. The improved understanding is then distributed throughout the fleet—comparable to how humans share knowledge through communication and learning from others' experiences. This creates a closed-loop system of continuous learning and enhancement that mirrors our own lifelong adaptation to new situations and environments. As humans successfully adapt and transfer cognitive models across diverse situations—applying skills learned in one context to entirely different scenarios—the fundamental principles and technological components that enhance safety in vehicles can also be applied to diverse sectors such as healthcare, telecommunications, industrial manufacturing and robotics. Truly, the underlying need for the rapid processing and localized intelligence unlocked by edge AI transcends specific industry applications. Get A Head-Start In Edge AI For enterprises and organizations aiming to leverage the potential of AI at the intelligent edge, I've found that the following strategic steps can ensure a significant advantage: • Identify key applications. Focus on scenarios where real-time insights and autonomous actions can yield substantial gains in efficiency, safety or customer/user experience. Consider applications in industrial automation, predictive maintenance or enhanced situational awareness in complex settings. • Invest in infrastructure. This includes selecting edge hardware with adequate processing capabilities and energy efficiency, along with reliable sensor technologies tailored to the specific use case. • Develop or upskill AI/ML expertise. Creating and deploying efficient AI models for edge devices requires specialized skills in areas such as model optimization and inference. • Implement a management platform. This is key for scalability and maintainability. When vetting platforms, look for those that can deploy and upgrade AI models via over-the-air (OTA) updates, monitor device performance and ensure the security of edge deployments. A well-defined orchestration strategy will facilitate the effective management of a growing number of intelligent edge devices and use cases. The Real-Time Revolution At The Edge The intelligent edge represents a significant evolution in how we interact with and utilize AI. It's not only about processing data closer to its origin; it's about enabling what can be described as "physical AI"—intelligent systems capable of perceiving, reasoning and acting within the physical environment in real time. This interconnectedness is foundational to the next wave of innovation across numerous industries. For example, in the context of modern vehicles, this entails more than radars that simply detect or recognize surroundings. It invokes a deeper, human-level of understanding, such as the ability to differentiate between similar objects in challenging conditions, to anticipate the behavior of pedestrians or adapt vehicle operation based on driver cues. These nuanced, context-aware decisions necessitate rapid processing and cannot rely on constant communication with a remote cloud. Ultimately, the need for real-time intelligence at the edge is driven by the imperative for immediate and safety-critical actions. While cloud computing will continue to be essential for AI development and data management, I believe the next significant advancements in AI-driven value will emerge at the edge. Looking ahead, the continued evolution and proliferation of the intelligent edge may democratize AI adoption across a wide spectrum of industries, inspiring innovative applications that we can only begin to imagine today. Specifically, intelligent edge systems capable of sensing, deciding and acting in real time—in the real, physical world—are poised to unlock substantial improvements in efficiency, insights and safety. The foundational work being done to establish robust and scalable intelligent edge architectures in demanding environments is creating a transferable blueprint for broader transformation. By embracing the intertwined principles of localized intelligence and real-time AI processing, organizations across diverse sectors can achieve smarter, safer and more insightful operations, paving the way for a truly intelligent, interconnected and more efficient enterprise. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Time of India
01-07-2025
- Time of India
2 arrested in exam centre theft case
Indore: Sanyogitaganj police cracked a case of theft at an examination centre and arrested two persons on charges of stealing costly electronic equipment on Tuesday. One of the accused turned out to be an employee working at the centre, while the other purchased stolen computer equipment. Sanyogitaganj police Station in-charge, Satish Kumar Patel, stated that a complaint was lodged on Monday by Chandan Raghuvanshi, a resident of Pawan Dham Colony, Nipania, Indore. Raghuvanshi reported that several computer systems, including CPUs, monitors, and hard disks, went missing from the examination centre located at Maseeh Kanya Higher Secondary School. The centre is used for conducting online recruitment examinations for various departments. Following the complaint, a case under Section 305(a) of the Bharatiya Nyaya Sanhita (BNS) was registered, and an investigation was initiated. During the preliminary investigation, the complainant expressed suspicion over a staff member, Nitesh Sahu, who had access to the centre. When questioned, Sahu initially denied any involvement. However, police interrogated him further using psychological techniques, and he eventually confessed to the theft. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like It's Affordable and Actually Works Undo He also revealed that he sold some of the stolen equipment to his associate, Javed Khan, a resident of Prince Colony, Khajrana. Both individuals were taken into custody, and stolen items worth approximately Rs 2.48 lakh were recovered. These included various branded CPUs and monitors, as well as 60 hard disks. From Sahu, police recovered CPU systems and 40 hard disks, while the remaining monitors and CPUs were seized from Javed Khan. Get the latest lifestyle updates on Times of India, along with Doctor's Day 2025 , messages and quotes!
Arab News
09-06-2025
- Politics
- Arab News
UK think tank calls for national strategy to tackle anti-Muslim hatred, rebuild social cohesion
LONDON: A new report from the think tank Equi released Monday has urged the UK government to adopt a coordinated national strategy to address anti-Muslim hatred, while warning that social division is harming trust in institutions and threatening the country's cohesion. Released as British Muslims marked Eid Al-Adha, the report highlighted growing levels of anti-Muslim narratives and attacks, but also pointed to polling by Savanta/ComRes that showed that the majority of Britons hold either neutral or positive views toward Muslims. A PDF Embed Here Equi argued that this provided a foundation for progress, and said that building trust, inclusion and civic resilience must be treated as a national priority. 'Britain's diverse and welcoming cultural identity is one of its greatest strengths. But we cannot leave social cohesion to chance,' said Prof. Javed Khan, managing director of Equi. 'Failing to address social division is not only unjust but fiscally draining, at a time when resources are scarce,' he added. The report identified anti-Muslim hatred as a key barrier to intercommunity trust, particularly in the aftermath of flashpoints such as the 2024 summer riots. It estimated the cost of anti-Muslim hatred last year at a minimum of £243 million ($328.9 million), including expenses linked to policing, imprisonment, and insurance claims. The report also pointed to alienating government policies, such as Prevent, and rising misinformation as major factors eroding social trust. Many British Muslims, it noted, feel disproportionately scrutinized and disconnected from wider society. Among its recommendations, Equi called for a strategic program of public awareness campaigns to counter misinformation and stereotypes, combined with cross-government engagement with local authorities, faith groups and civil society organizations to help rebuild trust. It also advocated for increased investment in youth and community initiatives that promoted shared experiences and inclusive participation as a means of strengthening intercommunity ties. 'Knowing most Britons are not getting sucked into divisive language that can destroy community relations should give us great hope. The government should use its unique platform to articulate a unifying vision for the nation; one that focuses not on responding to division, but on championing shared values like respect, equality and liberty,' Khan said. 'As Britain's 4 million Muslims celebrated Eid, this report provides a timely and urgent reminder that with clear focus and leadership, a stronger, peaceful and cohesive UK is within reach.'
