Complexity theory is a fundamental branch of theoretical computer science that categorises computational problems according to their inherent difficulty and the resources required to solve them. At ...
The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...
Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
Blood-based biomarkers are of particular interest as cancer screening tests as a result of their convenience, low cost, and quantitative measure. The incorporation of biomarkers into a screening ...
The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...
Across the United States and Europe, software is making probation decisions and predicting whether teens will commit crime. Opponents want more human oversight. Darnell Gates, on probation in ...
Nowadays hybrid hardware architecture (HHA) becomes increasingly popular in embedded systems (ES). In this paper HHA is presented for low bit depth motion estimation (ME) algorithm. Intellectual ...
In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...
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