BIOENGINEER

Hybrid Deep Learning Framework Enhances Blood Smear Platelet Detection and Counting

A hybrid deep learning framework combining lightweight super-resolution, transformer-based masked attention, and density ...
xenospectrum

MIT Shows an LLM Can Read and Edit Another Neural Network's Weights Directly

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...
BIOENGINEER

Native Runtime Accelerates Neural Video Codec Deployment Across Desktop and Embedded Platforms

Researchers have introduced NVCR, an extensible C++20 native runtime that accelerates neural video compression execution ...
GitHub

Neural Networks and Deep Learning

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

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

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 ...

Rewriting 0.016% of weights boosts math accuracy by 6x! MIT's 'Weight-Space Programming' where AI performs direct brain surgery on another AI is fascinating

"To improve an AI model's intelligence, you have no choice but to prepare massive amounts of data and GPUs, and run ...
news.lavx.hu

LLMs read and edit neural weights without gradients

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.
GitHub

Binarized Neural Networks (BNNs)

A PyTorch implementation of Binarized Neural Networks (BNNs) with Shift-based Batch Normalization and AdaMax optimizer. - Wzx0110/PyTorch-BNN-Reimplementation ...
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...

How Do AIs Become Intelligent? | Intelligence and Growth Through the Lens of LLM Learning

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?
TMCnet

Innatera Rolls Out Neuromorphic Developer Program with New Portal and Evaluation Hardware on DigiKey

Innatera, the leader in neuromorphic compute, today announced the rollout of its Developer Program, bringing together a new Developer Portal and Pulsar evaluation hardware available through DigiKey.
eu.36kr

MIT allowed GPT-6 Astra to directly modify Qwen's weights, and its math scores have soared.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...