tag: AI

Edge Inference Applications And Market Segmentation
By Geoff Tate - 03 Dec, 2020 - Comments: 0

Until recently, most AI was in data centers/cloud and most of that was training. Things are changing quickly. Projections are AI sales will grow rapidly to tens of billions of dollars by the mid 2020s, with most of the growth in edge AI inference. Data center/cloud vs. edge inference: What’s the difference? The data center/cloud is where inference started on Xeons. To gain efficiency, much ... » read more

Startup Funding: November 2020
By Jesse Allen - 02 Dec, 2020 - Comments: 0

Numerous chipmakers pulled in funding in November 2020, with investors putting money into interconnects, memories, AI hardware, and quantum computing. Launching from stealth was a startup aiming to combine AI and 5G. Autonomous delivery did well, too, with one company raising a massive $500M. This month, we take a look at 28 companies that raised a collective $1.1B. Semi & design Connec... » read more

Convolutional Neural Network With INT4 Optimization
By Xilinx - 01 Dec, 2020 - Comments: 0

Xilinx provides an INT8 AI inference accelerator on Xilinx hardware platforms — Deep Learning Processor Unit (XDPU). However, in some resource-limited, high-performance and low-latency scenarios (such as the resource-power-sensitive edge side and low-latency ADAS scenario), low bit quantization of neural networks is required to achieve lower power consumption and higher performance than provi... » read more

Manufacturing Bits: Dec. 1
By Mark LaPedus - 01 Dec, 2020 - Comments: 0

New phase-change materials The National Institute of Standards and Technology (NIST) has developed an open source machine learning algorithm for use in discovering and developing new materials. NIST’s technology, called CAMEO, has already been used by researchers to discover a new phase-change memory material. CAMEO, which stands for Closed-Loop Autonomous System for Materials Exploration... » read more

Forward And Backward Compatibility In IC Designs
By Ann Mutschler - 30 Nov, 2020 - Comments: 0

Future-proofing of designs is becoming more difficult due to the accelerating pace of innovation in architectures, end markets, and technologies such as AI and machine learning. Traditional approaches for maintaining market share and analyzing what should be in the next rev of a product are falling by the wayside. They are being replaced by best-guesses about market trends and a need to bala... » read more

Week In Review: Design, Low Power
By Jesse Allen - 27 Nov, 2020 - Comments: 0

AI Mythic debuted its Analog Matrix Processor for edge AI applications such as smart home, AR/VR, drones, video surveillance, smart city, and industrial. The M1108 AMP combines 108 tiles made up of an array of flash cells and ADCs, a 32-bit RISC-V nano-processor, a SIMD vector engine, SRAM, and a high-throughput Network-on-Chip router. It uses 40nm technology and the company says typical power... » read more

Security Gaps In Open Source Hardware And AI
By Ed Sperling - 25 Nov, 2020 - Comments: 1

Semiconductor Engineering sat down to discuss security risks across multiple market segments with Helena Handschuh, security technologies fellow at Rambus; Mike Borza, principal security technologist for the Solutions Group at Synopsys; Steve Carlson, director of aerospace and defense solutions at Cadence; Alric Althoff, senior hardware security engineer at Tortuga Logic; and Joe Kiniry, princi... » read more

What Interested You In 2020
By Brian Bailey - 24 Nov, 2020 - Comments: 0

In business you are always told to follow the money, but for us it is more important to follow the readership. If we are not writing what you want to read, then we are missing the mark. I like to review the ones that have garnered the most attention, in part to see if that will influence what I write about for 2021, but also to find out where the industry is looking for the most help. As Sem... » read more

Using AI And Bugs To Find Other Bugs
By Ann Mutschler - 24 Nov, 2020 - Comments: 0

Debug is starting to be rethought and retooled as chips become more complex and more tightly integrated into packages or other systems, particularly in safety- and mission-critical applications where life expectancy is significantly longer. Today, the predominant bug-finding approaches use the ubiquitous constrained random/coverage driven verification technology, or formal verification techn... » read more

Brute-Force Analysis Not Keeping Up With IC Complexity
By Brian Bailey - 24 Nov, 2020 - Comments: 0

Much of the current design and verification flow was built on brute force analysis, a simple and direct approach. But that approach rarely scales, and as designs become larger and the number of interdependencies increases, ensuring the design always operates within spec is becoming a monumental task. Unless design teams want to keep adding increasing amounts of margin, they have to locate th... » read more

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