In this video, I use a genetic algorithm to train an AI to navigate more levels of the world's hardest game. Check out the ...

If we become quantum tomorrow, data is lost today. Quantum comes down to size and efficiency. Current computers approach ...

The three-hour marathon, a time that demands a relentless pace and for generations has been earned through an almost monastic ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

Luxury fashion and lifestyle design creatives are now playing with tools like an AI photo generator to design textures that bring life, ripple with movement, and whisper feelings in pixels. Software ...

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

The Chairman of the House Select Committee on the Chinese Communist Party, Rep. John Moolenaar (R-MI), voiced persistent national security concerns regarding ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

IBM said on Friday it can run a key quantum computing error correction algorithm on commonly available chips from Advanced ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

Abstract: Most existing log parsing algorithms are unable to fully accurately parse logs. This is because these algorithms typically assume that the original log text satisfies features and find the ...