Dion Optimizer: Transforming Distributed AI Training Efficiency Optimizers such as Adam and AdamW have been essential to training large-scale neural networks. However, as model sizes soar into the trillions of parameters, the need for more efficient training metho... AI optimization deep learning distributed training large language models open source orthonormal updates PyTorch scalability
Whisper Leak: How Encrypted AI Chats Can Still Reveal Your Secrets Many people trust that encrypted messaging with AI chatbots is secure, but recent research from Microsoft challenges this assumption. A newly discovered threat, dubbed Whisper Leak , reveals that even... AI security cybersecurity data privacy encrypted traffic large language models machine learning side-channel attack Whisper Leak
AI Powered Gene Set Analysis: Inside GeneAgent’s Self-Verification Breakthrough GeneAgent is an innovative artificial intelligence agent developed by researchers at the National Institutes of Health (NIH). It is engineered to boost the accuracy of gene set analysis, a critical ta... AI hallucinations AI in genomics biomedical research expert-curated databases gene set analysis large language models self-verifying AI
NVFP4 Is Transforming AI Training: 4-Bit Precision Meets High Performance Efficiently training massive language models is now a central challenge for organizations building advanced AI systems. As models grow larger and datasets expand into the trillions of tokens, the need... AI training Blackwell architecture generative AI large language models low precision model efficiency NVFP4 quantization
MIT Researchers Are Making AI Text Classifiers More Reliable AI text classifiers are now behind many tools we use daily, from chatbots to content moderation systems. Their accuracy and reliability have become critical but how can you be sure they aren’t easily ... adversarial testing AI large language models machine learning MIT robustness software tools text classification
IBM’s AISteer360 Empowers Safe and Customizable LLM Outputs As large language models (LLMs) become increasingly sophisticated, so does the challenge of ensuring their outputs remain safe, relevant, and trustworthy especially in high-stakes enterprise environme... AI safety AISteer360 AI steering enterprise AI generative AI large language models model alignment open source
Toucan Dataset: Transforming AI Agents Into Digital Doers Toucan, a groundbreaking open-source dataset from IBM and the University of Washington is crafted to propel tool-calling capabilities in large language models (LLMs) to new heights. For AI to move bey... AI agents API integration benchmarking large language models machine learning open source tool-calling Toucan dataset
A New Era for Privacy: Hierarchical Generation of Synthetic Photo Albums As privacy concerns grow, the challenge of creating realistic datasets without exposing sensitive information is more pressing than ever. Google Research has introduced a groundbreaking method for gen... differential privacy generative AI hierarchical models large language models photo albums privacy-preserving synthetic data text-to-image
How a Handful of Malicious Documents Can Backdoor Massive AI Models It might seem that poisoning a huge AI model would require corrupting a substantial portion of its training data. However, groundbreaking research reveals this isn’t the case. Experts from Anthropic, ... adversarial machine learning AI safety AI security backdoor attacks data poisoning large language models model robustness research
How AI Agents Are Changing Scientific Research Workflows What if you could hand off the repetitive but essential tasks of research like data curation, code writing, or hypothesis testing, to an intelligent digital assistant? AI agents are making this scenar... AI agents automation collaboration drug discovery large language models research tools scientific research
Alibaba Introduces Tongyi Deep Research for Knowledge Discovery Tongyi Deep Research is Alibaba’s latest AI innovation that promises to transform how users gather and synthesize information from large, complex sources. With advanced large language models, this too... academic tools AI research Alibaba business intelligence information synthesis knowledge discovery large language models
AI Is Updating Scientific Software Development Traditionally, developing custom empirical software for each research challenge has been a major bottleneck, consuming valuable time and slowing scientific progress. Google Research is leveraging an ... AI automation computational science empirical software large language models machine learning research tools scientific discovery