AI Chip DFT Techniques For Aggressive Time-To-Market


AI chips have aggressive time-to-market goals. Designers can shave significant time off of DFT and silicon bring up using the techniques described in this paper. Leading AI semiconductor companies have already had success with Tessent DFT tools. To read more, click here. » read more

How Do I Know? A Machine Told Me So


More than 375 years ago, René Descartes wrote “I think, therefore I am.” And “Think” has been a slogan used by no less a technology giant than IBM for more than a century. The thought process has been a defining aspect of humanity since our beginning. But now technologists are working to imbue that capability into machines through artificial intelligence. Programming computers is no... » read more

Power/Performance Bits: April 8


Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Week in Review: IoT, Security, Auto


Internet of Things Microsoft has new services and capabilities for Azure-connected Internet of Things devices. There’s a new IoT security tool called Azure Security Center for IoT, which ties in with other tools within Azure IoT Hub. Azure Security Center for IoT uses Azure Security Center, Microsoft’s threat intelligence offering. The new IoT security tool also hooks into Azure Sentinel, ... » read more

The 7nm Pileup


The number of 7nm designs is exploding. Cadence alone reports 80 new 7nm chips under design. So why now, and what does this all mean? First of all, 7nm appears to be the next 28nm. It's a major node, and it intersects with a number of broad trends that are happening across the industry, all of which involve AI in one way or another. The big question now is how many of them will survive long ... » read more

Spreading Intelligence From The Cloud To The Edge


The challenge of partitioning processing between the edge and the cloud is beginning to come into focus as chipmakers and systems companies wrestle with a massive and rapidly growing volume of data. There are widely different assessments of how much data this ultimately will include, but everyone agrees it is a very large number. Petabytes are simply rounding errors in this equation, and tha... » read more

Memory Architectures In AI: One Size Doesn’t Fit All


In the world of regular computing, we are used to certain ways of architecting for memory access to meet latency, bandwidth and power goals. These have evolved over many years to give us the multiple layers of caching and hardware cache-coherency management schemes which are now so familiar. Machine learning (ML) has introduced new complications in this area for multiple reasons. AI/ML chips ca... » read more

March’19 Startup Funding: Money Springs Forth


Another month, another couple of billion-dollar rounds. Singapore-based Grab raised nearly $1.5 billion from the SoftBank Vision Fund, bringing its total private funding to more than $4.5 billion and valuing the company at around $14 billion. Grab has acquired Uber’s ride-hailing business in Southeast Asia and now competes chiefly with Go-Jek of Indonesia in Thailand and other emerging mar... » read more

Redefining Expectations For Test


New and rapidly expanding applications, such as artificial intelligence and automotive, are increasing in design size and complexity. These evolving market segments require unprecedented levels of quality and long-term reliability, which has created a fundamental shift in both the importance and need for integration of advanced semiconductor test. Synopsys unveiled a new family of test products... » read more

Blog Review: April 3


Synopsys' Taylor Armerding contends that as the IoT becomes more ubiquitous, the threat of cyber-physical attacks is rising, with the potential for a domino effect if even simple devices are compromised in large enough quantities. Mentor's Colin Walls considers the move away from programming on bare metal with the rise of drivers and RTOSes and when it makes sense to still use the old method... » read more

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