In the rapidly evolving world of artificial intelligence hardware, memory bandwidth and data movement have become just as important as raw compute power. Addressing this challenge head-on, Semidynamics has announced a strategic investment aimed at accelerating the development of its next-generation memory-centric AI … Read More
Intel has posted three consecutive years of falling revenue and an $18.76 billion loss in 2024 alone—and the U.S. government has handed it tens of billions of dollars to fix the problem. The government money isn’t fixing the real issue, which isn’t technical. It’s cultural. Intel got slow, political, and risk-averse—the… Read More
NanoIC has announced a major expansion of its process design kit portfolio with the introduction of its first A14 logic and embedded eDRAM memory PDK. This milestone reflects the company’s growing role in enabling advanced semiconductor design at cutting-edge technology nodes and addresses increasing industry demand for… Read More
A century ago, 391 San Antonio Road in Mountain View, California, housed an apricot-packing shed. Today, it’s marked by sculptures of diodes and a transistor, commemorating the 1956 founding of Shockley Semiconductor Laboratory—the birthplace of Silicon Valley. William Shockley, co-inventor of the transistor, aimed… Read More
Naveen Verma, Ph.D., is the CEO and Co-founder of EnCharge AI, the only company to have developed robust and scalable analog in-memory computing technology essential for advanced AI deployments, from edge to cloud. Dr. Verma co-founded EnCharge AI in 2022, building on six years of research and five generations of prototypes … Read More
Systolic arrays, with their ability to highly parallelize matrix operations, are at the heart of many modern AI accelerators. Their regular structure is ideally suited to matrix/matrix multiplication, a repetitive sequence of row-by-column multiply-accumulate operations. But that regular structure is less than ideal … Read More
Recently, a partnership between Achronix and Bluespec has been in the news. Bluespec RISC-V processors are available as soft cores in a Speedster®7t FPGA on Achronix’s VectorPath® PCIe development card or in a standalone Speedster7t FPGA. We spoke with executives from Achronix and Bluespec about the impetus for this effort … Read More
Edge AI inference is getting more and more attention as demand grows for AI processing across an increasing number of diverse applications, including those requiring low-power chips in a wide range of consumer and enterprise-class devices. Much of the focus has been on optimizing the neural network processing engine for these… Read More
Neural network models are advancing rapidly and becoming more complex. Application developers using these new models need faster AI inference but typically can’t afford more power, space, or cooling. Researchers have put forth various strategies in efforts to wring out more performance from AI inference architectures,… Read More
Often, AI inference brings to mind more complex applications hungry for more processing power. At the other end of the spectrum, applications like home appliances and doorbell cameras can offer limited AI-enabled features but must be narrowly scoped to keep costs to a minimum. New area-optimized AI inference technology from… Read More
