Artificial, With Questionable Intelligence


A common theme is emerging in the race to develop big machines that can navigate through a world filled with people, animals, and other assorted objects—if an accident is inevitable, what options are available to machines and how should they decide?   This question was raised at a number of semiconductor industry conferences over the past few weeks, which is interesting because this idea h... » read more

The Ideal Solution For AI Applications — Speedcore eFPGAs


AI requires a careful balance of datapath performance, memory latency, and throughput that requires an approach based on pulling as much of the functionality as possible into an ASIC or SoC. But that single-chip device needs plasticity to be able to handle the changes in structure that are inevitable in machine-learning projects. Adding eFPGA technology provides the mixture of flexibility and s... » read more

The Week in Review: IoT


Regulation The Consumer Product Safety Commission is accepting public comments on “potential safety issues and hazards associated with Internet-connected consumer products.” The agency is concerned about “unexpected operating conditions” with Internet of Things devices, along with hacking that could start fires through a stovetop or grill, and the potential compromising of home safety ... » read more

System Bits: March 27


New quantum electronic material has atomic structure resembling a Japanese basketweaving pattern According to MIT, Harvard University, and Lawrence Berkeley National Laboratory researchers, a motif of Japanese basketweaving known as the kagome pattern has preoccupied physicists for decades. They reminded that kagome baskets are typically made from strips of bamboo woven into a highly symmetric... » read more

Applying Machine Learning To Chips


The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

The New Deep Learning Memory Architectures You Should Know About


Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

AI: The Next Big Thing


The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

New Applications, Multiple Approaches


It may be tempting to view the strong demand for semiconductors as just one more up-cycle in our traditionally cyclical industry, but what’s really driving things right now is the opening of entirely new horizons, made possible by the increased capabilities of today’s chips. Chip demand is no longer only being driven by the needs of computer and smartphone manufacturers. Now, a mushroomi... » read more

Blog Review: Mar. 14


Cadence's Meera Collier considers the issues of bias implementation in algorithms and AI systems, and whether immense training sets can really solve the problem. Mentor's Cristian Filip digs into the evolution of signal integrity analysis methods and why different data rates require different solutions. Synopsys' Naveen G explains key features introduced in the latest generation of interc... » read more

Multiphysics Reliability Signoff For Next-Gen Auto Electronics Systems


The automotive industry is in the midst of a sea change. Growing market needs for electrification, connectivity on the go, advanced driver assistance systems, and ultimately the goal of autonomous driving, are creating newer requirements and greater challenges. A chassis on four wheels is now fitted with cameras, radar and other sensors, which will be the eyes of the driverless car, as well as ... » read more

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