Designers implement embedded processing using a variety of architectures. They are all fair game here, and I will be doing a detailed treatise on each type of architecture and combinations of ...

San Jose, Calif. — Version 3.1 of Platform Studio helps designers to add embedded processing capabilities to FPGA designs. This embedded platform design environment consists of a set of tools that can ...

Artificial intelligence (AI) continues transforming how users interact with technology. AI-powered chatbots like ChatGPT, along with advancements in data analytics and mobile technology, have ...

CHANDLER, Ariz., July 09, 2024 (GLOBE NEWSWIRE) -- Real-time, compute intensive applications such as smart embedded vision and Machine Learning (ML) are pushing the boundaries of embedded processing ...

Texas Instruments Incorporated TXN reported its fourth-quarter 2024 results, showcasing a mixed performance. While the company exceeded earnings and revenue expectations, its year-over-year decline ...

FPGAs increasingly are being viewed as a critical component in heterogeneous designs, ratcheting up their stature and the amount of attention being given to programmable devices. Once relegated to ...

Under the terms of the agreement, Weebit’s ReRAM technology will be integrated into TI’s advanced process nodes for embedded processing semiconductors. The agreement includes IP licensing, technology ...

The use of embedded and edge processing will improve the information delivery of unmanned aircraft systems (UAS) and allow them to harness the power of artificial intelligence (AI), according to a ...

There are a host of hardware accelerators for various machine-learning ML models. To wit, Renesas has come up with a ternary SRAM-based system to accelerate convolutional-neural-network (CNN) ...

TOKYO--(BUSINESS WIRE)--Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, today announced a series of leadership changes as part of its ongoing ...