tag: AI

Amdahl Limits On AI
By Brian Bailey - 09 Dec, 2021 - Comments: 0

Software and hardware both place limits on how fast an application can run, but finding and eliminating the limitations is becoming more important in this age of multicore heterogeneous processing. The problem is certainly not new. Gene Amdahl (1922-2015) recognized the issue and published a paper about it in 1967. It provided the theoretical speedup for a defined task that could be expected... » read more

Innovations In Sensor Technology
By John Koon - 09 Dec, 2021 - Comments: 0

Sensors are the “eyes” and “ears” of processors, co-processors, and computing modules. They come in all shapes, forms, and functions, and they are being deployed in a rapidly growing number of applications — from edge computing and IoT, to smart cities, smart manufacturing, hospitals, industrial, machine learning, and automotive. Each of these use cases relies on chips to capture d... » read more

The Future Of Smart Cameras Is 64-Bit Processing
By Parag Beeraka - 09 Dec, 2021 - Comments: 0

The future of smart camera technology brings with it profound transformations in the way we interact with each other and the world around us. From smart cities that are safer and more efficient to rainforests that are monitored for illegal logging, the increasing need for advanced vision technology is growing. Diverse and complex use cases leveraging artificial intelligence (AI) and machine lea... » read more

Veloce Prototyping Solutions Accelerate Verification Of HPC AI-Enabled SoCs
By Siemens EDA - 08 Dec, 2021 - Comments: 0

This white paper goes through the journey of understanding how to meet quality requirements and accelerate time-to-market for your company’s latest flagship high performance computing (HPC) artificial intelligence (AI)-enabled system-on-chip (SoC) design. The starting point in the journey explores the use cases for designs illustrating the impact HPC AI-enabled systems and resources have on o... » read more

Big Changes Ahead For Inside Auto Cabins
By Bryon Moyer - 08 Dec, 2021 - Comments: 0

The space we occupy inside our vehicles is poised to change from mere enclosure to participant in the driving experience. Whether for safety or for comfort, a wide range of sensors are likely to appear that will monitor the “contents” of the vehicle. The overall approach is referred to as an in-cabin monitoring system (ICMS), but the specific applications vary widely. “In-cabin sensing... » read more

Improving Energy And Power Efficiency In The Data Center
By Ann Mutschler - 06 Dec, 2021 - Comments: 0

Energy costs in data centers are soaring as the amount of data being generated explodes, and it's being made worse by an imbalance between increasingly dense processing elements that are producing more heat and uneven server utilization, which requires more machines to be powered up and cooled. The challenge is to maximize utilization without sacrificing performance, and in the past that has... » read more

Why It’s So Difficult — And Costly — To Secure Chips
By Ed Sperling - 02 Dec, 2021 - Comments: 0

Rising concerns about the security of chips used in everything from cars to data centers are driving up the cost and complexity of electronic systems in a variety of ways, some obvious and others less so. Until very recently, semiconductor security was viewed more as a theoretical threat than a real one. Governments certainly worried about adversaries taking control of secure systems through... » read more

Will Markets For ML Models Materialize?
By Bryon Moyer - 02 Dec, 2021 - Comments: 0

Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

Gaps In The AI Debug Process
By Brian Bailey - 23 Nov, 2021 - Comments: 0

When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

Raising The Bar With The Next Generation Of AI For Chip Design
By Synopsys - 22 Nov, 2021 - Comments: 0

The semiconductor industry is enjoying renewed growth despite chip shortages plaguing everything from cars to kitchen appliances. But while the chips themselves continue to get faster and smarter, the chip design process itself hasn’t changed that much in 20+ years. It typically takes 2-3 years to design a chip with a large engineering team and tens or hundreds of millions of dollars to get a... » read more

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