Chips&Media has announced a strategic licensing agreement with Ambarella for its latest-generation video CODEC intellectual property (IP), marking a significant milestone in the evolution of edge AI, computer vision, and physical AI systems. The agreement follows an extensive technical evaluation process and further… Read More
Tag: Physical AI
CEO Interview with Chuck Gershman of Owl Autonomous Imaging
Chuck Gershman is the CEO and co-founder of Owl Autonomous Imaging. He has spent more than 30 years in semiconductors, AI imaging, computer vision, and autonomous sensing technologies across executive management, engineering, marketing, business development, and operations.
Chuck is a Drexel University College of Engineering… Read More
Engineering the Next Era of Semiconductor Innovation
The semiconductor industry is entering a transformative new phase, driven by the convergence of artificial intelligence, cloud computing, and increasingly complex chip architectures. That message took center stage during the keynote talks at the Siemens EDA User2User 2026 North America conference. Executives from Siemens,… Read More
Webinar: Application-Specific Processors (ASIPs) for Physical AI
Physical AI is increasingly popular in applications requiring real-time decision making and autonomous operation. Different from NPUs for cloud platforms, Physical AI processors can be made application-specific. By jointly tuning their ISA and memory architecture to the network models required by the application, power
CEO Interview with Dr. Hardik Kabaria of Vinci
Hardik Kabaria is the founder and CEO of Vinci, a frontier lab building systems that make physical reality continuously computable.
While software has become programmable, physics has remained episodic—accessed through discrete simulations and approximations. Vinci is changing that. Under Kabaria’s leadership, the company
How 25G Ethernet, PCIe 5.0, and Multi-Protocol PHYs Enable Scalable Edge Intelligence
Physical AI is changing how intelligent systems interact with the real world. These systems must sense, process, and respond to data in real time. Unlike cloud AI, Physical AI depends on fast local processing and reliable distributed communication. This shift creates a new challenge. Systems must move large volumes of sensor… Read More
How Cadence is Building the Physical Infrastructure of the AI Era
At the 2025 NVIDIA GTC Conference, CEO Jensen Huang delivered a sweeping keynote that painted the future of computing in bold strokes: a world powered by AI factories, built on accelerated computing, and driven by agentic, embodied AI capable of interacting with the physical world. He introduced the concept of Physical AI—intelligence… Read More
