Category: Machine Learning

With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from your organization’s private data sources to deliver more relevant, accurate, and customized responses. As the data grows, maintaining real-time synchronization between Amazon Simple Storage Service (Amazon S3) and your knowledge bases becomes critical for accurate, up-to-date responses.In this post, […]

Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these requirements by giving organizations control over […]

WARREN, N.J., April 27, 2026 (Globe Newswire) — Tevogen (“Tevogen Bio Holdings Inc.” or the “Company”) (Nasdaq: TVGN) today announced continued progress in its artificial intelligence initiative Tevogen.AI, including near completion of the PredicTcell™ training algorithm and early steps toward commercialization readiness. PredicTcell™, Tevogen.AI’s proprietary machine learning model designed to identify immunologically active peptides, is […]

What does it mean to build a mind that is not a copy of yourself? Today, we are pleased to announce that Sequoia has partnered with David Silver and Ineffable Intelligence. Ineffable Intelligence is a new AI research institute based in London with a singular mission: to make first contact with superintelligence. Ineffable is building […]

What if the first solid clues that birds existed were not bones but three-toed footprints carved into ancient mud? A new study suggests that some controversial “bird-like” footprints are closer to modern or fossilized bird tracks than to other dinosaur groups. The research was led by Gregor Hartmann from the Berlin Helmholtz Center for Materials […]

London, UK, April 2026 — Ravi Dahiya I participated aventum group as Head of AIbrings extensive experience across artificial intelligence, data science, analytics, machine learning, automation, predictive modeling, business strategy, and technology-driven transformation. In his new role, aventum group, Ravi Dahiya will lead AI initiatives across the group and support the organization’s focus on technology-driven […]

Organizations that build bespoke AI models and deploy them without ongoing maintenance are opening themselves up to failure. Without a framework for continuous learning, these models quickly become outdated, lose predictive accuracy, and ultimately require expensive rebuilds. Theta Lake has developed an approach designed to avoid exactly this type of decline. This is rooted in […]

April 2026 was the most intense month in the history of AI model releases. GPT-5.5 shipped on April 23. DeepSeek V4 Preview dropped 24 hours later. Claude Opus 4.7 launched on April 16. Gemini 3.1 Pro, Llama 4, Qwen 3, Gemma 4 — all within the same six-week window. For developers building AI agents, the […]

Machine learning analysis of fermi surface morphology and spin polarization Fig. 2 The alternative text for this image may have been generated using AI. Fermi Surface Images Obtained from First-Principles Calculations. The upper panel displays the plot data exported from FermiSurfer, while the lower panel shows the corresponding blurred Fermi surface images mimicking ARPES experimental […]

A research team at the University of Warwick, UK, has developed a stacked ensemble learning framework to directly predict key asteroid seismic parameters for delta stars from the TESS light curve. This method achieved remarkable results on a sample of 643 stars. The coefficient of determination R² for all target parameters was higher than 0.77, […]