News

How a big shift in training LLMs led to a capability explosion
When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...
How to Become an AI Genius: Lessons students can learn from Meta's $100 million hires
Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...
This AI Model Never Stops Learning
Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...
Sify1d
Cure Every Disease: How AI is Rewriting the Future of Medicine, and Humanity
Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...
IEEE4d
Hybrid Approach for WDM Network Restoration: Deep Reinforcement Learning and Graph Neural Networks - IEEE Xplore
Ensuring robust and efficient service restoration in Wavelength Division Multiplexing (WDM) networks is crucial for maintaining network reliability amidst failures caused by disasters, equipment ...
AlphaGalileo14d
More Reliable AI: New Method Strengthens Decision-Making with Limited Data
Researchers at Harbin Institute of Technology and Singapore Management University have developed LR-GCN, an advanced AI method that significantly ...
Career Choice; AI-AI-O: Song of transition
Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...
Medical Xpress on MSN21d
Artificial neural networks reveal how peripersonal neurons represent the space around the body
To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning. These are brain-inspired computational models that can learn to complete various tasks ...
IEEE9d
Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning - IEEE Xplore
The communication among agents is important for Multi-Agent Reinforcement Learning (MARL). In this work, we propose GraphComm, a method makes use of the relation-ships among agents for MARL ...
Scientific Research Publishing9d
Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision ()
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
Financial Post29d
Horizon3.ai Raises $100M to Cement Leadership in Autonomous Security - Financial Post
SAN FRANCISCO — Horizon3.ai, the company behind the NodeZero® Autonomous Security Platform, today announced a $100 million Series D funding round led by NEA, with participation from SignalFire, Craft ...
AFP29d
Horizon3.ai Raises $100M to Cement Leadership in Autonomous Security
Horizon3.ai, the company behind the NodeZero® Autonomous Security Platform, today announced a $100 million Series D funding round led by NEA, with participation from SignalFire, Craft Ventures ...