System Bits: Nov. 6


Keeping data private To preserve privacy during data collection from the Internet, Stanford University researchers have developed a new technique that maintains personal privacy given that the many devices part of our daily lives collect information about how we use them. Stanford computer scientists Dan Boneh and Henry Corrigan-Gibbs created the Prio method for keeping collected data priva... » read more

AI Training Chips


Kurt Shuler, vice president of marketing at Arteris IP, talks with Semiconductor Engineering about how to architect an AI training chip, how different processing elements are used to accelerate training algorithms, and how to achieve improved performance. https://youtu.be/4cnBCX-9jlk     See other tech talk videos here. » read more

Making AI Run Faster


The semiconductor industry has woken up to the fact that heterogeneous computing is the way forward and that inferencing will require more than a GPU or a CPU. The numbers being bandied about by the 30 or so companies working on this problem are 100X improvements in performance. But how to get there isn't so simple. It requires four major changes, as well as some other architectural shifts. ... » read more

ML Becomes Useful For Variation Coverage


According to industry sources, it is quite a feat to get a chip back from the foundry that actually meets the specifications the design team worked towards, and because of this much effort is underway across the industry to understand what will happen to a design once it reaches the manufacturing stage, and what the effects of design choices actually are. AI and ML are absolutely the buzz wo... » read more

System Bits: Oct. 2


Computer algorithms exhibit prejudice based on datasets Researchers at Cardiff University and MIT have shown that groups of autonomous machines are capable of demonstrating prejudice by identifying, copying, and learning this behavior from one another. The team noted that while it may seem that prejudice is a human-specific phenomenon that requires human cognition to form an opinion of, or ... » read more

System Bits: Sept. 18


Better AI technique for chemistry predictions CalTech researchers have found a new technique that uses machine learning more effectively to predict how complex chemicals will react to reagents. The tool is a new twist on similar machine learning techniques to find more effective catalysts without having the time-consuming trial-and-error research, making it a time-saver for drug researchers. ... » read more

Variation In Low-Power FinFET Designs


One of the biggest advantages of moving to the a leading edge process node is ultra-low voltage operation, where devices can achieve better performance using less power. But the latest generation process nodes also introduce a number of new challenges due to increased variation that can affect everything from signal integrity to manufacturing yield. While variation is generally well understo... » read more

System Bits: Aug. 21


Two types of computers create faster, less energy-intensive image processor for autonomous cars, security cameras, medical devices Stanford University researchers reminded that the image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence. These are the computers that essentially teach themselves to recognize objects like a dog, ... » read more

System Bits: Aug. 14


Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

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