ADAS

Samsung Taylor 2nm Fab Starts, Tesla AI Chips First

Samsung Taylor 2nm Fab Starts, Tesla AI Chips First
Samsung Electronics is accelerating its U.S. foundry strategy with the Taylor plant set to begin operations, anchored by 2-nanometer AI chips for Tesla’s next-generation self-driving platforms. After breaking ground in late 2022 with an initial $17 billion investment, Samsung’s Taylor fab is now holding its equipment installation ceremony and transitioning from build-out to run-up. For the U.S. semiconductor base, Taylor represents an advanced-node capacity point that complements Samsung’s existing Austin operations and expands domestic options beyond a single supplier. Tesla’s AI5 design has taped out, signaling it is ready for volume manufacturing, with AI6 following closely and expected to incorporate low-power DDR (LPDDR) memory to meet stringent automotive power budgets.

Bosch and Qualcomm Advance ADAS with Snapdragon AI

Bosch and Qualcomm Advance ADAS with Snapdragon AI
Bosch and Qualcomm are extending their in-vehicle compute collaboration from digital cockpits into advanced driver-assistance systems, signaling a tighter convergence of safety, user experience, and centralized vehicle compute. Automakers are accelerating the shift from fragmented electronic control units to zonal and centralized architectures that run on fewer, more powerful processors. This deal aligns Bosch’s experience integrating automotive-grade compute with Qualcomm’s Snapdragon platforms to create scalable ADAS solutions that can be deployed across mainstream and premium vehicles. As software-defined vehicle strategies mature, consolidating safety, perception, and cockpit functions on shared compute is a pragmatic step to reduce cost and complexity.

Wayve Self-Driving AI Trials in Tokyo with Nissan

Wayve Self-Driving AI Trials in Tokyo with Nissan
Wayve’s end-to-end driving AI is now running in Nissan Ariya electric vehicles in Tokyo, marking a pragmatic step toward consumer deployment in 2027. The test vehicles combine a camera-first approach with radar and a lidar unit for redundancy, aligning with Japan’s dense urban environment and complex traffic patterns. The initial commercial target is “eyes on, hands off” Level 2 driver assistance, with drivers remaining responsible and ready to take over. Nvidia has signed a letter of intent for a potential $500 million investment in Wayve’s next funding round, reinforcing the compute-intensive nature of the program.

AI, Quantum and Connectivity: The Blueprint for Future Innovation

AI, Quantum & Connectivity: The Blueprint for Future Innovation
This articles explores how AI, quantum computing, and next-gen connectivity are shaping the future of innovation. From ethical AI and quantum-safe cryptography to 6G-enabled access to education and healthcare, these converging technologies are redefining what’s possible across industries. The key: inclusive, sustainable, and collaborative development.

On-Device AI in 2025: Are We Ready to Go All-In?

On-Device AI in 2025: Are We Ready to Go All-In?
With AI shifting from the cloud to the device, on-device AI is transforming privacy, speed, and user experience. Experts from Honor, Broadcom, and Orange explore the challenges and innovations shaping this future, from AI chips to offline capabilities and ethical implications. Is it time to go all-in?

NVIDIA Unveils Halos: AI-Powered Safety System for Autonomous Vehicles

NVIDIA Unveils Halos: AI-Powered Safety System for Autonomous Vehicles
NVIDIA has launched Halos, a full-stack AI-powered safety system designed to enhance autonomous vehicle (AV) development. By integrating AI models, simulation tools, and compliance frameworks, Halos ensures AV safety from cloud to car. With industry partners like Continental, onsemi, and OMNIVISION, NVIDIA is setting new safety benchmarks for self-driving technology.
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