Helping power-system planners prepare for an unknown future
Macro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarb...
Macro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarb...
Language models depend on massive text corpora that are often filtered for quality, a process that can unintentionally exclude non-standard linguistic varieties...
The rapid advancement of artificial intelligence (AI) and deep learning (DL) has catalyzed the emergence of several optimization-driven subfields, notably neuro...
The most famous applications of LLMs are the ones that I like to call the “wow effect LLMs.” There are plenty of viral LinkedIn posts about them, and they all s...
Spiking neural networks (SNNs) have emerged as a promising direction in both computational neuroscience and artificial intelligence, offering advantages such as...
Transformer decoders have achieved strong results across tasks, but the memory required for the KV cache becomes prohibitive at long sequence lengths. Although ...
Machine learning for early prediction in medicine has recently shown breakthrough performance, however, the focus on improving prediction accuracy has led to a ...
Introduction There’s been a wave of articles lately about TOON Token‑Oriented Object Notation, many proclaiming it saves “50 % tokens” or calling JSON “outdate...
What mattered: robust agents, glass-box reasoning, and red-team resilience The post Multi-Agent Arena: Insights from London Great Agent Hack 2025 appeared first...
Learn how to vibe-code your own website The post How to Code Your Own Website with AI appeared first on Towards Data Science....
Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it's Agentic AI. The lines blur because everything overlaps...
AI/ML News Highlights for December 03, 2025 1. The 4/$delta$ Bound: Designing Predictable LLM‑Verifier Systems for Formal Method Guarantee The introduction of...