UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...
Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.
Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...
Veritasium on MSN
The Algorithm That Powers the Modern World and Why It’s So Crucial
From creating personalized recommendations to enabling complex machine learning systems, this algorithm is behind much of ...
3d
Google claims quantum breakthrough as Willow chip runs algorithm 13,000× faster than supercomputers
Google scientists say they have taken a major step toward solving one of the hardest problems in computing. Their latest experiment, they argue, provides the most ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Abstract: A signal processing method combining adaptive Singular Spectrum Decomposition (SSD) with Transient Extracting Transform (TET) is proposed to address the challenge of weak energy in early ...
Abstract: Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback