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Artificial Intelligence
Arm has been making noise about running large language models (LLMs) on mobile platforms. At first glance that sounds wildly impractical, other than Arm acting as an intermediary between a phone and a cloud-based LLM. However Arm are partnered with Meta to run Llama 3.2 on-device or in the cloud, apparently seamlessly. Running… Read More
You could be forgiven for thinking of hearing aids as the low end of tech, targeted to a relatively small and elderly audience. Commercials seem unaware of advances in mobile consumer audio, and white-haired actors reinforce the intended audience. On the other hand, the World Health Organization has determined that at least 6%… Read More
Artificial intelligence (AI) is driving a transformation in data center infrastructure, necessitating cutting-edge technologies to meet the growing demands of AI workloads. As AI systems scale up and out, next-gen compute servers, switches, optical-electrical links, and flexible, redundant networking solutions are … Read More
Many of you are already familiar with Silicon Catalyst and the value it brings to semiconductor startups, the industry and the electronics industry at large. Silicon Catalyst is an organization that supports early-stage semiconductor startups with an ecosystem that provides tools and resources needed to design, create, and… Read More
At the 2024 TSMC OIP Ecosystem Forum, one of the technical talks by TSMC focused on maximizing 3DIC design productivity and rightfully so. With rapid advancements in semiconductor technology, 3DICs have become the next frontier in improving chip performance, energy efficiency, and density. TSMC’s focus on streamlining the… Read More
Synopsys made significant announcements during the recent TSMC OIP Ecosystem Forum, showcasing a range of cutting-edge solutions designed to address the growing complexities in semiconductor design. With a strong emphasis on enabling next-generation chip architectures, Synopsys introduced both new technologies and … Read More
In semiconductor design there has been much fascination around the idea of using large language models (LLMs) for RTL generation; CoPilot provides one example. Based on a Google Scholar scan, a little over 100 papers were published in 2023, jumping to 310 papers in 2024. This is not surprising. If it works, automating design creation… Read More
Designing custom silicon for AI applications is a particularly vexing problem. These chips process enormous amounts of data with a complex architecture that typically contains a diverse complement of heterogeneous processors, memory systems and various IO strategies. Each of the many subsystems in this class of chip will … Read More
Artificial intelligence (AI) and machine learning (ML) are evolving at an extraordinary pace, powering advancements across industries. As models grow larger and more sophisticated, they require vast amounts of data to be processed in real-time. This demand puts pressure on the underlying hardware infrastructure, particularly… Read More
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