Chip Industry Week In Review


By Susan Rambo, Jesse Allen, and Liz Allan The U.S. government will provide about $162 million in federal incentives, under the CHIPS and Science Act, to help Microchip onshore its semiconductor supply chain. The move is aimed at securing a reliable domestic supply of MCUs and mature-node chips. “Today’s announcement will help propel semiconductor manufacturing projects in Colorado and O... » read more

Trendspotting: Automotive IC Startup Funding In 2023


Consumers expect a lot from the electronics in their cars. The parts in the safety-critical systems need to be reliable for up to 18 years, able to handle a range of temperatures, voltages, and vibrations — and all the while be fault-tolerant and make zero errors. On top of those basic requirements, automakers trying to appeal to consumers are adding in more features that communicate with the... » read more

Startup Funding: September 2023


Chip-to-chip and data center I/O drew investor interest in September, including support for several startups developing Compute Express Link (CXL) solutions. Elsewhere in the data center, several large rounds went to companies developing AI accelerators. And at the edge, startups are building unique ways to handle AI at very little power by initially processing data directly at the sensor. O... » read more

Rethinking Machine Learning For Power


The power consumed by machine learning is exploding, and while advances are being made in reducing the power consumed by them, model sizes and training sets are increasing even faster. Even with the introduction of fabrication technology advances, specialized architectures, and the application of optimization techniques, the trend is disturbing. Couple that with the explosion in edge devices... » read more

AI Power Consumption Exploding


Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processin... » read more

Week In Review: Design, Low Power


AMD completed its acquisition of Xilinx. The all-stock deal ended up being valued at approximately $50 billion due to a rise in AMD's share price (the deal was valued at $35 billion when announced). The Xilinx business will become the newly formed Adaptive and Embedded Computing Group (AECG), led by former Xilinx CEO Victor Peng, and will continue its FPGA, adaptive SoC, and software roadmaps a... » read more

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

Developers Turn To Analog For Neural Nets


Machine-learning (ML) solutions are proliferating across a wide variety of industries, but the overwhelming majority of the commercial implementations still rely on digital logic for their solution. With the exception of in-memory computing, analog solutions mostly have been restricted to universities and attempts at neuromorphic computing. However, that’s starting to change. “Everyon... » read more

Blog Review: Dec. 30


Cadence's Paul McLellan considers what the next ten years will look like for the RISC-V ISA with an expanding software ecosystem and increasing number of commercial and open cores available. Siemens EDA's Harry Foster checks out the languages and libraries being used to design and verify FPGAs and how they've changed over the last several years. Synopsys' Jonathan Knudsen contends that IT... » read more

Startup Funding: September 2020


It was a good month for startups, with big rounds in automotive, data centers, and AI. A new startup with big backing is taking aim at energy inefficiency in the data center, and another is looking to make the industrial IoT battery-free. SK Hynix founded a new company to analyze semiconductor manufacturing data, and one of China's EV companies sees a massive cash infusion. This month, we look ... » read more

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