Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
LAS VEGAS, Jan. 8, 2026 /PRNewswire/ -- At CES 2026, Tensor today announced the official open-source release of OpenTau ( ), a powerful AI training toolchain designed to accelerate the development of ...
This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...
A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...
On stage, Florence Welch projects a kind of mystical power. Her voice is otherworldly, and her imagery evokes a bygone time when magic was real. Her sixth studio album as Florence + the Machine, ...
Tensor was founded in Silicon Valley as AutoX back in 2016 and focused on building autonomous commercial vehicles and robotaxis. The company began testing autonomous vehicles in California and China ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
More than 12 years ago, Steam creator Valve attempted to usurp Microsoft's hold on PC gaming by introducing the first Steam Machine. The reliance on Linux and a loose hold on OEM hardware ...
Valve announced a new Steam Machine this week, and while I think it’s going to have a major impact on the next generation of gaming hardware – however PC-like that looks – there’s still one big ...
Steam Machines are back for the first time since Valve teamed up with manufacturers like Alienware and Lenovo back in the 2010s. But while those original console-PC hybrids failed because of a lack of ...