This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Michael Kearns and Aaron Roth, professors at the University of Pennsylvania, suggest that the solution is to "embed precise definitions of fairness, accuracy, transparency, and ethics at the algorithm ...

How should we measure the accuracy of predictions? If the weather forecast calls for a 10% chance of rain, and it rains, was that a bad forecast? How would you explain what a "good forecast" is to a ...

As society attempts to solve more and more problems computationally, the need for efficient algorithms to solve these problems continues to grow. Just as importantly, to be able to apply or adapt ...

Kyuha Shim designs typography, though you could argue that he doesn’t do it all on his own. The PhD candidate at the Royal College of Art leaves much to algorithms of his own creation. As a researcher ...

In January, I taught a Continuing Education Center online class called "Programmable Logic: How Do They Do That?" One of the topics I covered is how place and route software works. This is one of the ...

Analog Devices, Inc. (ADI) introduced today a reference design and algorithm that enables small-form-factor, low-power smoke detector designs to be rapidly prototyped and brought to market faster at a ...