Latest updates from the AI industry
Taipei—The COMPUTEX 2026 show floor, which opened on June 2, was once again dominated by artificial intelligence. But the shift felt on the ground was not simply about more powerful AI chips or larger data centers. The center of gravity is moving toward Physical AI, where artificial intelligence sen
Tesla (TSLA) shares rose 1.6% on Tuesday to $422.57, rebounding after two consecutive sessions of declines as investors welcomed stronger vehicle sales data from China and signs of continued recovery across several European markets. The gain followed a difficult start to the week for the electric vehicle maker. Tesla stock fell roughly 4.5% on Monday [...] The post Tesla stock rebounding around 1.5% today: what’s behind the move? appeared first on ETF Alerts .
The race to commercialize autonomous transportation continues to accelerate as ride-hailing giant Uber Technologies and autonomous driving technology developer Autobrains announce plans to begin testing self-driving taxis in the German city of Munich. The initiative represents another significant step toward the broader adoption of autonomous mobility services in Europe and highlights the growing collaboration between [...] The post Uber and Autobrains Plan to Test Self-Driving Taxis in Munich appeared first on Tekedia .
oToBrite and Turing Drive announced a technology collaboration on June 2 to develop real-world autonomous vehicle applications using vehicle-grade vision AI, which combines oToBrite's automotive cameras and visual AI with Turing Drive's core self-driving system. The companies aim to give global special-purpose vehicles (SPVs) a smarter brain.
ASUS Zenni Claw emerges as a standout AI solution, enabling secure AI agents at scale ASUS today at Computex 2026 advanced its Ubiquitous AI. Incredible Possibilities strategy, unveiling an expanded, end-to-end AI ecosystem that connects enterprise-scale infrastructure with intelligent edge experiences. From the ASUS AI x ESG Platform at the corporate level to a robust AI foundation [...]
Analysis by Julie Dautermann, Competitive Intelligence AnalystFoley is here to help you through all aspects of rethinking your long-term business strategie
Premium Motors Limited, the exclusive distributor of Renault vehicles in Ghana, has unveiled the all-new Renault Grand Koleos Hybrid HEV and Renault Kardian, signalling a major boost to Ghana's automotive market.
Image source: The Motley Fool. Monday, March 16, 2026 at 5 p.m. ET Need a quote from a Motley Fool analyst? Email pr@fool.com Continue reading
DataHorizzon Research has published a comprehensive study on the global New Energy Vehicle (NEV) Wiring Harness Market, valued at USD 5.5 Billion in 2026 and projected to reach USD 20.3 Billion by 2033, growing at a CAGR of 20.5% over
Keysight Technologies (NYSE:KEYS) reported what executives described as the best quarter in the company’s history, with fiscal second-quarter orders surpassing $2 billion and revenue rising sharply across its communications and electronic industrial businesses. President and CEO Satish Dhanasekaran said the company delivered a “record first half,” citing strong demand tied to AI data centers, defense [...]
➤ Artificial Intelligence Market Overview and Growth Snapshot According to MarketGenics analysis, the global Artificial Intelligence (AI) Market is witnessing unprecedented growth driven by rapid digital transformation, increasing enterprise automation, and expanding adoption of intelligent technologies across industries. The market is
➤ 5G Technology Market Overview and Growth Snapshot According to MarketGenics analysis, the global 5G Technology Market is experiencing rapid expansion fueled by increasing demand for ultra-fast connectivity, low-latency communication, and next-generation digital infrastructure. The market is estimated to be valued
The quantum sensing and metrology market is poised for significant expansion as technological advancements and diverse applications continue to emerge. The growing integration of quantum technologies across various sectors is setting the stage for this market to reach new heights
ROHM has launched ESD protection diodes for faster interfaces globally. The RESDxVx series combines ultra-low capacitance with low dynamic resistance for industrial, consumer, and automotive high-speed communication applications. The post ROHM targets high-speed interface ESD protection appeared first on Industrial News .
The China In-Vehicle Infotainment Market is witnessing strong growth momentum as automotive digitalization continues to reshape the driving experience across passenger and commercial vehicles. According to recent industry analysis, the market was valued at USD 5.7 billion in 2025 and
Stellantis, one of the world's largest automotive makers, is collaborating with Wayve, an autonomous driving intelligence company, to embed Wayve's self-driving technology on its STLA AutoDrive platform. The partnership aims to offer hands-free driving and collaborate in scaling up the manufacturing of self-driving vehicles. Meanwhile, an industry boss criticized self-driving cars' lack of 'common sense' amid botched driving attempts in the US.
The Microwave Probe Market reached a valuation of 5.67 billion in 2026 and is anticipated to expand at a CAGR of 11.49% during the forecast period from 2026 to 2035, ultimately attaining an estimated value of 13.54 billion by 2035.
The business-to-business (B2B) sector is on the verge of remarkable expansion in the coming years, driven by rapid technological advancements and evolving market dynamics. As organizations increasingly rely on digital ecosystems and automated solutions to streamline their operations, the B2B
MALVERN, Pa. & MELBOURNE, Fla.--(BUSINESS WIRE)--May 21, 2026--
All the existing brands will get investment, and nine new models will come in under US$40,000
The High Performance Mems Based Inertial Sensors Market reached a valuation of 13.55 billion in 2026 and is anticipated to expand at a CAGR of 7.38% during the forecast period from 2026 to 2035, ultimately attaining an estimated value of
Qualcomm Inc (NASDAQ: QCOM ) stock trended on Thursday as investors focused on the growing market for agentic AI smartphones and the company's expanding automotive partnerships, even as broader tech markets weakened. Agentic AI Smartphones Could Drive Chip Demand Recently, Counterpoint Research said agentic AI-capable smartphone chips reached 4% market penetration by the end of 2025 and could rise to 32% by 2027, meaning roughly one in three smartphones sold by then may support agentic AI features . The report also highlighted intensifying competition in premium smartphone chips, noting MediaTek launched agentic AI capabilities through its Dimensity 9400 series ahead of Qualcomm's Snapdragon 8 Elite Gen 5 rollout. Stellantis Partnership Expands Qualcomm's Automotive Reach Qualcomm and Stellantis NV (NYSE: STLA ) expanded their long-term partnership to integrate Snapdragon Digital Chassis ... Full story available on Benzinga.com
Nvidia's stock is down again after earnings. The sellers are missing the bigger picture.
Arteris FlexNoC network-on-chip (NoC) IP and Magillem software successfully deployed in the Li Auto L9 Livis high-tech flagship SUV via its proprietary autonomous driving systems-on-chip (SoCs) CAMPBELL, Calif., May 19, 2026 (GLOBE NEWSWIRE) — Arteris, Inc. (Nasdaq: AIP), a leading provider of semiconductor technology for accelerating innovation in the AI era, today announced that its ... Continued
Arteris FlexNoC network-on-chip (NoC) IP and Magillem software successfully deployed in the Li Auto L9 Livis high-tech flagship SUV via its proprietary autonomous driving systems-on-chip (SoCs) CAMPBELL, Calif., May 19, 2026 (GLOBE NEWSWIRE) -- Arteris, Inc. (Nasdaq: AIP), a leading provider of semiconductor technology for accelerating innovation in the AI era, today announced that its system IP technology has been deployed by Li Auto Inc., a leader in the China new energy vehicle (NEV) market. Arteris technology is supporting the underlying AI compute data movement and integration automation for Li Auto’s current and future smart vehicles, starting with its proprietary SoCs used in the all-new L9 Livis high-tech SUV. Li Auto is known for its rapid innovation in extended-range electric vehicles (EREVs), battery electric vehicles (BEVs), and smart vehicle platforms, integrating advanced driver assistance systems (ADAS), high-performance compute, and immersive in-vehicle experiences. This includes the successful in-house development of the autonomous driving SoC, which provides the L9 Livis SUV with the computing power of 2,560 trillion operations per second (TOPS) to effectively perform AI computational tasks for autonomous vehicles. For the development of the SoC, Li Auto used Arteris FlexNoC 5 NoC interconnect IP and Magillem SoC integration automation software to meet the high-performance compute needs, energy efficiency targets, and the highest functional safety requirements. Li Auto engineers leveraged Arteris technology to help ensure efficient AI data movement within the SoC. This was achieved by quickly exploring and implementing optimized interconnect architectures that balance performance, power, and area (PPA), while also accelerating time to production for both this implementation and future derivative designs. "Li Auto is committed to delivering intelligent vehicles that seamlessly integrate advanced AI, safety, and user experience, and Arteris plays a key role in that strategy,” said Luo Min, Head of Computing Unit at Li Auto. "We chose Arteris for our SoC development to help us meet the high functional, performance, and safety requirements for autonomous driving chips and to ensure a great user experience in our smart vehicles. Arteris not only solved our technical challenges, but also, with its expertise and collaborative approach, is supporting our future vision of intelligent systems." Leveraging the Arteris physical awareness capabilities of FlexNoC 5 silicon IP, Li Auto quickly converged on optimal architecture in the 5 nm process node, while reducing design risk and improving system-level efficiency. The solution supported the integration of diverse processing elements, including CPUs, GPUs, AI accelerators, sensor interfaces, and functional safety capabilities, helping to ensure predictable performance across increasingly complex workloads. "Automotive innovation is being driven by a fundamental shift toward centralized compute and AI-defined functionality, and we are pleased to see our technology deployed in this vehicle and next generation of Li Auto vehicles,” said K. Charles Janac, president and CEO of Arteris. "Its choice to work with Arteris to ensure optimized compute for their vehicles reflects the growing importance of silicon data movement as a critical factor meeting the performance, power, safety and security requirements of today’s physical AI systems. Together, we are enabling the next generation of intelligent vehicle platforms and the L9 Livis SUV is a prime example.” Arteris products are used in systems ranging from AI data centers to edge AI devices and physical AI systems, including autonomous vehicles. Learn more about Arteris’ automotive solutions at arteris.com/automotive. Learn more about the Li Auto L9 Livis at: https://www.lixiang.com/L9. About Arteris Arteris is a leading provider of semiconductor technology that accelerates the creation of high-performance, power-efficient silicon with built-in safety, reliability, and security. Innovative Arteris products are designed to optimize data movement and help ease complexity in the modern AI era with network-on-chip (NoC) interconnect intellectual property (IP), system-on-chip (SoC) software for integration automation and hardware security assurance. All are used by the world’s top technology companies to improve overall performance and engineering productivity, reduce risk, lower costs, and bring cutting-edge designs to market faster. Learn more at arteris.com. About Li Auto Li Auto Inc. is a leader in China’s new energy vehicle market. The company designs, develops, manufactures, and sells premium smart electric vehicles. Its mission is: Be Proactive, Change the World (主动积极, 改变世界). Through innovations in product, technology, and business model, it provides families with safe, convenient, and comfortable products and services. Li Auto is a pioneer in successfully commercializing extended-range electric vehicles in China. While firmly advancing along this technological route, it builds platforms for battery electric vehicles in parallel. The company leverages technology to create value for users. It concentrates its in-house development efforts on proprietary range extension systems, innovative electric vehicle technologies, and smart vehicle solutions. The company started volume production in November 2019. Its current model lineup includes a high-tech flagship family MPV, four Li L series extended-range electric SUVs, and two Li i series battery electric SUVs. The company will continue to expand its product lineup to target a broader user base. Learn more at www.liauto.com. © 2004-2026 Arteris, Inc. All rights reserved worldwide. Arteris, Arteris IP, the Arteris IP logo, and the other Arteris marks found at https://www.arteris.com/trademarks are trademarks or registered trademarks of Arteris, Inc. or its subsidiaries. All other trademarks are the property of their respective owners. Media Contact: Arteris Inc. Gina Jacobs +1 408 560 3044 newsroom@arteris.com This press release was published by a CLEAR® Verified individual.
Infosearch BPO has announced a notable partnership deal with a premier global automobile corporation for delivering state-of-the-art 2D image labelling and
The mice market size is projected to grow from $1342 billion in 2026 to $3062 billion by 2034, at a CAGR of 10.5% during the forecast period 2026-2034.
Arteris technology adopted by Li Auto for intelligent vehicles, starting with its proprietary SoCs used in the all-new L9 Livis high-tech SUV.
Arteris FlexNoC network-on-chip (NoC) IP and Magillem software successfully deployed in the Li Auto L9 Livis high-tech flagship SUV via its proprietary autonomous driving systems-on-chip (SoCs) CAMPBELL, Calif., May 19,...
Keysight Technologies (NYSE:KEYS) reported what executives described as the best quarter in the company’s history, with fiscal second-quarter orders surpassing $2 billion and revenue rising sharply across its communications and electronic industrial businesses. President and CEO Satish Dhanasekaran said the company delivered a “record first half,” citing strong demand tied to AI data centers, defense [...]
Keysight Technologies (NYSE:KEYS) reported what executives described as the best quarter in the company’s history, with fiscal second-quarter orders surpassing $2 billion and revenue rising sharply across its communications and electronic industrial businesses. President and CEO Satish Dhanasekaran said the company delivered a “record first half,” citing strong demand tied to AI data centers, defense [...]
Image source: The Motley Fool. Tuesday, May 19, 2026 at 4:30 p.m. ET Need a quote from a Motley Fool analyst? Email pr@fool.com Continue reading
In autonomous and self-driving vehicle news are Tesla, Pony.ai, NVIDIA, Moia America, Beep, Innoviz Technologies, SiMa.ai, Hesai Technology, Karsan, WeRide, Massimo Motor, PlusAI, Churchill Capital The post Autonomous & Self-Driving Vehicle News Tesla, Pony.ai, NVIDIA, Moia, Beep, Innoviz, SiMa.ai, Hesai, Karsan, WeRide, PlusAI, Arbe & Zoox. first appeared on auto connected car news .
The 5G Base Station Antenna Module Market reached a valuation of 15.23 billion in 2810 and is anticipated to expand at a CAGR of 9.38% during the forecast period from 2026 to 2033, ultimately attaining an estimated value of 31.21
The 5G Antenna Module Market reached a valuation of 15 billion in 2025 and is anticipated to expand at a CAGR of 12.7% during the forecast period from 2026 to 2033, ultimately attaining an estimated value of 39.04 billion by
The Gpsins Market reached a valuation of 7.93 billion in 2025 and is anticipated to expand at a CAGR of 15.71% during the forecast period from 2026 to 2033, ultimately attaining an estimated value of 25.49 billion by 2033. Market
Tesla has powered up a massive artificial intelligence computing cluster in Texas, but the celebration was short-lived as the company’s ballooning capital expenditure plans sent shares sliding. The Cortex 2 supercomputer, featuring more than 130,000 graphics processing units, began operations at the Gigafactory Texas facility in late April, designed to train software for autonomous vehicles [...] The post Tesla’s Texas Supercomputer Goes Live as $25 Billion Capex Shock Tests Investor Patience appeared first on NewsCase .
Despite a mixed Q1, Tesla’s story now hinges on execution as Cybercab finally moves from vision to reality, even with autonomy still a question mark.
BEIJING, April 26 (Xinhua) -- The first trade day of the 2026 Beijing International Automotive Exhibition drew crowds on Sunday, as visitors queued to peer into a minus-30-degree cold chamber at BYD's fast-charging booth, where a new energy vehicle charged from 20 to 97 percent in just 12 minutes. At the Nio stand, meanwhile, an ES9 swayed and tilted in choreographed synchrony with a humanoid robot, its full acti
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast. The post Elon Musk drops a bomb regarding Tesla Model S, X inventory appeared first on TESLARATI .
(MENAFN - PR Newswire) SHENZHEN, China, April 8, 2026 /PRNewswire/ -- RoboSense (2498), a pioneering AI-driven robotics technology company, announced its sales volume for the first quarter of 2026, ...
Your car may soon know when you're tipsy, stressed, or just mouthing words into the wind. From Ford's lip-reading patent to radar systems that sense your mood and (of course) biometric driver identification, the latest wave of automotive AI is turning vehicles into surprisingly perceptive co-pilots. Ford publishes patent for in-car lip reading Vehicle voice control systems have been around for a while – but soon, they may be able to listen in on our most secretive conversations. Ford has filed a patent application for software that reads the occupant’s lips using cameras and sensors inside the vehicle. The feature would not be used for lip-based biometric authentication . Instead, the automaker says the vehicle would turn on lip reading in situations where normal voice controls do not work due to wind or other noise, for example, while driving in a convertible with the top down. Aside from lip movement captured by cameras, the system could also rely on acoustic signals: the vehicle could emit inaudible sound waves and analyze the echoes bouncing back from the user’s lips and mouth with the help of machine learning. “The captured video and sensor data are processed using machine learning algorithms that are trained on large datasets of lip movements and corresponding speech to learn the patterns and nuances of lip reading,” says patent 20260095520, recently published by the USPTO . The patent also predicts the use of gesture- and facial-expression-detection software to determine whether the user is having difficulty interacting with the system. Nodding the head could be interpreted as acknowledging a verbal interaction with the vehicle, while shaking the head or appearing confused would lead the system to believe that the user is having difficulties. The vehicle could then choose to increase the audio volume or slow its speech. The vehicle would determine that it is in a convertible state using image data or other sensors and measure the ambient noise level. If the noise level is above a certain threshold, the vehicle would enable lip-reading mode to determine the words spoken by the user. Researchers explore radar-based emotion recognition in AVs Another technology that we may see more of in vehicles is emotion detection. A group of international researchers recently tested a radar-based emotion-recognition framework for autonomous vehicles (AVs), called DriveEmo-FL, and published their results in Nature. Understanding how drivers feel while behind the wheel has become an important area of research, as a driver's emotional state can affect how self-driving cars make decisions, how vehicles adapt their behavior, and how comfortable the overall driving experience feels. In the past, researchers used tools such as wearable devices and cameras that read facial expressions to detect emotions. While these approaches work to some degree, they come with drawbacks, such as privacy concerns, and cameras do not always work well across different environments. To address these problems, researchers have begun exploring radar-based technologies, especially mmWave radar. DriveEmo-FL uses a compact mmWave radar sensor to capture and measure subtle upper-body gestures associated with different emotional states. The raw radar data is processed and is passed to EmoNet, a lightweight dual-stream deep learning model. The analysis allows the model to better capture the relationship between body movement patterns and emotional states. “By linking emotional state detection to adaptive AV behaviors, DriveEmo-FL offers a proactive, intelligent interface for future emotion-aware intelligent transportation systems,” the researchers conclude. DriveEmo-FL was tested under various driving conditions in a series of controlled driving tests, according to the researchers, who hail from Wuhan University, Ajou University in South Korea, Northern Border University in Saudi Arabia, and COMSATS University in Pakistan. Scientists detect drunk driving and emotions with single AI model Researchers from Australia and the UK are developing a driver monitoring system (DMS) based on facial recognition that can detect fatigue, emotional expression and blood alcohol simultaneously. Most AI models are task-specific. This technology, however, relies on a single 3D deep learning model for multiple tasks, including recognizing expression and assessing the drivers’ physiological state, the researchers say. The system detected blood alcohol concentration with nearly 90 percent accuracy and drowsiness with 95 percent accuracy, while also classifying impairment across three levels — sober, moderate, or severe. "This algorithm is smart, because it can tell the difference between whether a driver is sleepy, just making a facial expression, or affected by alcohol,” says Syed Zulqarnain Gilani from Edith Cowan University (ECU) in Perth Gilani published a paper alongside colleagues from the University of Western Australia and Birmingham City University in the UK. DriveBuddyAI patents facial recognition system for driver identification Indian driver monitoring systems (DMS) developer DriveBuddyAI has been granted a patent for a facial recognition-based driver identification system designed for use in moving vehicles, Manufacturing Today India reports . The camera-based technology uses computer vision and AI to identify drivers under varying lighting conditions and when accessories such as caps or scarves partially obscure the face. The company says the biometric approach is more accurate than traditional key-based identification methods. The system is aimed at logistics operators and supports compliance with driving hours regulations, as well as driver attendance tracking, wage management, and fatigue monitoring. It connects to DriveBuddyAI's existing product suite, which includes a previously patented driver scoring system called CARDs. The patent comes as India moves to tighten regulations around truck drivers' working hours in response to road accidents linked to fatigue. CEO Nisarg Pandya said the technology ensures fleet operators know who is driving, for how long, and under what conditions, providing a basis for enforcing safe driving limits and supporting driver development.
[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Digital Twin in Marine Market size & share revenue was valued at approximately USD 3.84 Billion in 2025 and is expected to reach USD 4.37 Billion in 2026 and is expected to reach around USD 13.26 Billion by 2035, at a CAGR of 11.7% between 2026 and 2035. The key market players listed in the report with their sales, revenues and strategies are Kongsberg Digital AS, Wärtsilä Corporation, ABB Ltd., Siemens AG, AVEVA Group plc (Schneider Electric), Dassault Systèmes SE, Ansys Inc., DNV AS, Bureau Veritas S.A., Rolls-Royce Holdings plc, General Electric (Vernova) and others. [220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Digital Twin in Marine Market size & share revenue was valued at approximately USD 3.84 Billion in 2025 and is expected to reach USD 4.37 Billion in 2026 and is expected to reach around USD 13.26 Billion by 2035, at a CAGR of 11.7% between 2026 and 2035. The key market players listed in the report with their sales, revenues and strategies are Kongsberg Digital AS, Wärtsilä Corporation, ABB Ltd., Siemens AG, AVEVA Group plc (Schneider Electric), Dassault Systèmes SE, Ansys Inc., DNV AS, Bureau Veritas S.A., Rolls-Royce Holdings plc, General Electric (Vernova) and others.
[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Digital Twin in Marine Market size & share revenue was valued at approximately USD 3.84 Billion in 2025 and is expected to reach USD 4.37 Billion in 2026 and is expected to reach around USD 13.26 Billion by 2035, at a CAGR of 11.7% between 2026 and 2035. The key market players listed in the report with their sales, revenues and strategies are Kongsberg Digital AS, Wärtsilä Corporation, ABB Ltd., Siemens AG, AVEVA Group plc (Schneider Electric), Dassault Systèmes SE, Ansys Inc., DNV AS, Bureau Veritas S.A., Rolls-Royce Holdings plc, General Electric (Vernova) and others. [220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Digital Twin in Marine Market size & share revenue was valued at approximately USD 3.84 Billion in 2025 and is expected to reach USD 4.37 Billion in 2026 and is expected to reach around USD 13.26 Billion by 2035, at a CAGR of 11.7% between 2026 and 2035. The key market players listed in the report with their sales, revenues and strategies are Kongsberg Digital AS, Wärtsilä Corporation, ABB Ltd., Siemens AG, AVEVA Group plc (Schneider Electric), Dassault Systèmes SE, Ansys Inc., DNV AS, Bureau Veritas S.A., Rolls-Royce Holdings plc, General Electric (Vernova) and others.