Al, Analytics and Automation
Why Experts Are Suddenly Worried About AI Going Rogue
Something has shifted in the air around AI. It is not a dramatic turn of events, the kind that usually...
MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2
MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18,...
Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or...
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns....
Washington Is Getting Ready to Slow AI Down. And This Has Nothing to Do with Politics
Something strange is happening in Washington. And no, it is not a new scandal. Government officials are in a frantic...
Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment...
New technique makes AI models leaner and faster while they’re still learning | MIT News
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally,...
Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
Modern AI is no longer powered by a single type of processor—it runs on a diverse ecosystem of specialized compute...
A philosophy of work | MIT News
What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the...
Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context
A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form...
POPULAR NEWS
