Setting up your own large language model

: Frontier AI models are increasingly at risk of being trapped behind strict export controls and increased API costs. As this technology becomes embedded in our daily lives, the open source movement is not just a philosophical preference, but a necessary mechanism to keep AI in the hands of everyday users. We are not equal […]

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Computing inspired by the brain: a journey from algorithms to organoids

Bermudez-Contreras, E., Clark, B. J. & Wilber, A. The neuroscience of spatial navigation and the relationship to artificial intelligence. Front. Comput. Neurosci. 14, 63 (2020). Article  Google Scholar  Kriegeskorte, N. & Douglas, P. K. Cognitive computational neuroscience. Nat. Neurosci. 21, 1148–1160 (2018). Article  Google Scholar  Hassabis, D., Kumaran, D., Summerfield, C. & Botvinick, M. Neuroscience-inspired […]

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Anthropic launches Claude Science Beta: Multi-agent AI workbench for reproducible genomics, proteomics, and cheminformatics pipelines

Anthropic was released this week. claude science. This is an app for scientists and is available in beta. It runs on Anthropic’s existing Claude model, not the new model. This app is targeted at researchers who are familiar with databases, notebooks, and cluster devices. Perform a multi-step study and record how each result was obtained. […]

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Machine learning-based prediction of E. coli infections in hospitalized patients using a no-code analysis framework

Hospital-acquired infections (HAIs) remain a major global concern and contribute significantly to increased morbidity, mortality, and healthcare costs. Among the pathogens that cause Escherichia coli (Escherichia coli) is one of the most frequently isolated microorganisms, especially in urinary tract infections (UTIs), bloodstream infections, and surgical site infections. Early and accurate predictions Escherichia coli Hospitalized patient […]

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Adversarial Machine Learning Market in the world | Report – IndexBox

World Adversarial Machine Learning Market 2026 Analysis and Forecast to 2035 Executive Summary Key Findings The World Adversarial Machine Learning market is forecast to expand at a compound annual rate of 12–16% during 2026–2035, driven by the integration of ML-based decision systems into critical infrastructure and the corresponding need for tamper-resistant hardware. Component-level segments – […]

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Aalto University team develops machine learning-optimized pulse to search for dark matter

A new microwave detection protocol improves the search for axions and dark photons. Yu-Han Chang and colleagues at Aalto University, the University of Chicago, and the University of Zaragoza employ a superconducting transmon qubit and a dual-cavity system. This protocol addresses the limitations of traditional qubit control by using machine learning-optimized pulses to achieve single-photon […]

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Agentic AI Tops Record Year as Peer Review Strains

The world’s largest machine learning conference opens Monday in Seoul, South Korea — and for the first time in the 43rd-year history of the International Conference on Machine Learning, it arrives carrying a peer-review integrity crisis as significant as any paper in its program. The 11,000-plus researchers descending on the COEX Convention & Exhibition Center […]

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5-day workshop on Mathematics in Machine Learning begins at SOA’s ITER — SOA

Mathematics to drive innovation in machine learning is the focus of the five-day Mathematics in Machine Learning Workshop (WMML-2026), which began on Tuesday at the Institute of Technology Education and Research (ITER) in the Faculty of Engineering, deemed Shiksha ‘O’ Anusandhan University. Prof. Snehasish Chakravity from NIT Rourkela, who was the chief guest, gave a […]

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