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

Week In Review: Auto, Security, Pervasive Computing


AI on edge Cadence’s Tensilica Vision P6 DSP IP will be in Kneron’s KL720, a 1.4TOPS AI system-on-chip (SoC) targeted for AI of things (AIoT), smart home, smart surveillance, security, robotics and industrial control applications. Arm announced its Arm Cortex-R82, a 64-bit, Linux-capable Cortex-R processor for enterprise and computational storage systems. The processor is designed to pr... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Ninety-one percent of commercial applications contain outdated or abandoned open-source components —a security threat, says Synopsys in its recently released report 2020 Open Source Security and Risk Analysis (OSSRA). In the fifth annual edition of the report, Synopsys’ research team in its Cybersecurity Research Center (CyRC) found that 99% of the 1,250 commercial codebases revie... » read more

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