tag: AI

Requirements For The Efficient Implementation Of AI Solutions On Edge Devices
By André Schneider - 14 Dec, 2023 - Comments: 0

By André Schneider, Olaf Enge-Rosenblatt, and Björn Zeugmann In recent years, there has been a growing tendency to implement data-driven approaches for the continuous monitoring of industrial plants as part of digitalization and Industry 4.0 initiatives. The hope is to detect critical conditions at an early stage, minimize maintenance and downtimes, and continuously achieve high product qu... » read more

The Uncertain Future Of In-Memory Compute
By Karen Heyman - 13 Dec, 2023 - Comments: 0

Experts at the Table — Part 2: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, chief technology officer at Alphawave Semi; Steve Roddy, chief marketing officer at Quadric; and Jongsin Yun, memory technologist at Siemens EDA. What follows are excerpts of that conversation. Part one of this conversation can be found here and part 3 is h... » read more

Testing ICs Faster, Sooner, And Better
By Laura Peters - 12 Dec, 2023 - Comments: 0

The infrastructure around semiconductor testing is changing as companies build systems capable of managing big data, utilizing real-time data streams and analysis to reduce escape rates on complex IC devices. At the heart of these tooling and operational changes is the need to solve infant mortality issues faster, and to catch latent failures before they become reliability problems in the fi... » read more

AI Races To The Edge
By Karen Heyman - 07 Dec, 2023 - Comments: 0

AI is becoming increasingly sophisticated and pervasive at the edge, pushing into new application areas and even taking on some of the algorithm training that has been done almost exclusively in large data centers using massive sets of data. There are several key changes behind this shift. The first involves new chip architectures that are focused on processing, moving, and storing data more... » read more

The Evolution Of Generative AI Up To The Model-Driven Era
By Steve Brown - 07 Dec, 2023 - Comments: 0

Generative AI has become a buzzword in 2023 with the explosive proliferation of ChatGPT and large language models (LLMs). This brought about a debate about which is trained on the largest number of parameters. It also expanded awareness of the broader training of models for specific applications. Therefore, it is unsurprising that an association has developed between the term “Generative AI�... » read more

Advanced DFT And Silicon Bring-Up For AI Chips
By Lee Harrison - 07 Dec, 2023 - Comments: 0

The AI market is growing quickly, spurring an insatiable demand for powerful AI accelerators. AI chip makers are pressed with aggressive time-to-market goals and need the tools to help them get their chips into the hands of customers as quickly as possible. IC test and silicon bring-up are tasks that can affect both the quality and the time-to-market of AI chips. Different companies are usin... » read more

Use Advanced DFT And Silicon Bring Up To Accelerate AI Chip Design
By Siemens EDA - 07 Dec, 2023 - Comments: 0

The market for AI chips is growing quickly, with the 2022 revenue of $20B expected to grow to over $300B by 2030. To keep up with the demand and stay competitive, AI chip designers set aggressive time-to-market goals. Design teams looking for ways to shave significant time off chip development time can look to advanced DFT and silicon bring up techniques described in this paper, including hiera... » read more

EDA Pushes Deeper Into AI
By Karen Heyman - 30 Nov, 2023 - Comments: 0

EDA vendors are ramping up the use of AI/ML in their tools to help chipmakers and systems companies differentiate their products. In some cases, that means using AI to design AI chips, where the number and breadth of features and potential problems is exploding. What remains to be seen is how well these AI-designed chips behave over time, and where exactly AI benefits design teams. And all o... » read more

Considerations For Accelerating On-Device Stable Diffusion Models
By Pat Donnelly - 30 Nov, 2023 - Comments: 0

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, inpainting (reconstructing missing regions in an image), outpainting (generating new pixels that seamlessly extend an image's existing bounds), and bit diffusion. Stable Diffusion uses a type of dif... » read more

Artificial Intelligence Wonderland
By Barry Pangrle - 30 Nov, 2023 - Comments: 0

Silicon Catalyst held its Sixth Annual Semiconductor Forum in Menlo Park on the SRI campus on November 9th. Richard Curtin, Managing Partner for Si Catalyst, opened the event with a reference to Arthur C. Clarke’s "2001: A Space Odyssey" and noted how remarkable it was that a novel written back in 1968 was able to foretell the direction of the computer industry over 50 years into the future. ... » read more

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