In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

Decoding failures that jeopardise next generation encryption are now reduced by 63. 7% thanks to a new neural network ...

A recurrent neural network trained on simulation data predicts soliton dynamics in Kerr resonators about twenty times faster than traditional Lugiato–Lefever computations.

A model was released on Hugging Face that claims to have a 32-bit RISC-V CPU compiled and embedded within the weights of ...

Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

Goodfire's Nick Cammarata, who helped build the AI black-box theory, now says most neurons are readable. DeepMind's Neel ...

A new open access study reports a spatio-temporal graph convolutional network that predicted traffic flow with 97.99% ...

The 2nd annual competition, begins!Last month, we held the "ChatGPT Nonsense Talk Awards" to recognize the most hopelessly silly stories born from casual chats with ChatGPT. The grand prize for the ...

Preterm birth prevention AI has scored a breakthrough: Stanford researchers built immune-system digital twins of pregnant ...

Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models ...

Existing methods struggle to accurately simulate complex quantum systems as their size increases due to exponential ...