Every time a search engine ranks results, a social media feed recommends content, or a navigation app finds the quickest route home, an algorithm is at work. Yet few people realise that the word ...

Jeremiah Blocki, jblocki+451@cs.cmu.edu: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, anvesh+451@cs.cmu.edu: Friday @ 4 ...

Abstract: The flip-chip package provides a high chip-density solution to the demand for more input-output pads of very large scale integration designs. In this paper, we present the first routing ...

As a crucial link between the inland area and maritime transport, a port’s importance is undeniable. The expanding maritime transport economy has heightened the need for improved port operational ...

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

Abstract: Linear programming (LP) decoding approximates maximum-likelihood (ML) decoding of a linear block code by relaxing the equivalent ML integer programming (IP) problem into a more easily solved ...

There’s little doubt that some of the most important pillars of modern cryptography will tumble spectacularly once quantum computing, now in its infancy, matures sufficiently. Some experts say that ...

In a breakthrough that could reshape the AI landscape, researchers at BitEnergy AI have developed an algorithm that reduces energy consumption for large language models (LLMs) by a staggering 95%.

To ensure that the widespread adoption of AI is sustainable, a research team at BitEnergy AI has made a big stride. They have developed a promising technique to drastically reduce AI’s energy use.

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. Inspired by the results of a game-playing neural network ...