Category: Machine Learning

Meta plans to cut 10% of its workforce next month as it invests heavily in artificial intelligence (AI). The U.S. technology giant, which owns social media sites such as Facebook and Instagram, told employees in an internal email that large-scale layoffs will begin on May 20. Meta had just under 79,000 employees at the start […]

Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more efficient — enabling large-scale training […]

We consider the privacy amplification properties of a sampling scheme in which a user’s data is used in k steps randomly and uniformly selected from a sequence (or set) of t steps. This sampling scheme has recently been applied in the context of differential private optimization (Chua et al., 2024a; Choquette-Choo et al., 2025) and […]

Much has been written about the high failure rate of AI projects. In an increasingly agile world, CIOs and their organizations naturally want to embrace the idea captured in the book’s title, Fail Fast, Learn Faster: move quickly, experiment, and learn along the way. But too many organizations rush into AI without the foundation in […]

Biotia announced that it has published a clinical validation study in the Journal of the American Society for Microbiology. microbiology spectrum. This study validates next-generation sequencing (NGS) and machine learning-based approaches for detecting genitourinary pathogens and profiling antimicrobial resistance directly from clinical urine specimens. Urinary tract infections (UTIs) are often difficult to diagnose using standard […]

Welcome to Eye on AI with AI reporter Sharon Goldman. In this episode: Top Republicans urge party to avoid $300 million AI lobby… AI model fraud is scary good… Anthropic’s new AI model sets off global alarm. This week, as Anthropic Mythos generated a new wave of headlines highlighting both its advanced capabilities and the […]

Algorithmic Guarantees for Distilling Supervised and Offline RL DatasetsAaryan Gupta, Rishi Saket, Aravindan Raghuveer An Evolutionary Perspective on Modes of Learning in Transformers Alexander Y. Ku, Thomas L. Griffiths, Stephanie C.Y. Chan An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPsHaolin Liu, Chen-Yu Wei, Julian Zimmert ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, […]

Antithesis, an autonomous software verification company, has demonstrated how an AI coding agent can modify its own code. Until now, you couldn’t trust AI agents to check your work. Antithesis allows AI to self-correct as it writes code, eliminating a major bottleneck to AI adoption. Since its launch, Antithesis has provided thorough verification of complex […]

Florida HOAs and condominiums are testing AI tools for tasks, approvals, and board communication Kaloop launches AI Voice and is beta testing its AI agent for self-managed homeowners and condominium associations across Florida. Boards spend a significant amount of time searching for information and managing communications. AI voice and agents bring everything in one place, […]

The capabilities of large-scale AI models exceed those of the average human in some aspects, such as programming and mathematics. Anthropic is reported to have achieved nearly 100% of its AI programming in-house. Google’s Gemini Deep Think solved 5 out of 6 problems in IMO 2025, reaching gold medal level. But when it comes to […]