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The Mathematics Search Engine
Mathematics News & Resources
4Mathematics is a specialist search engine for Mathematics. Discover the latest math news and mathematical content. Part of the 4SEARCH network of topic specific search engines.
Latest Articles
Deep learning perturbation models can outperform baselines on calibrated metrics - Nature Biotechnology
1+ min ago (1248+ words) Nature Biotechnology (2026) Cite this article With our positive control (interpolated duplicate) and negative control (mean baseline) in hand, we next defined a meta metric to quantify the calibration of benchmarking metrics. We term this quantity the ‘dynamic range fraction’ (DRF),…...
Python Operators and Conditionals at the Airport Check-in Desk
9+ min ago (1225+ words) Zuri is flying to Lisbon. Her suitcase is full, the airline allows 23 kg, and she has no idea what the bag weighs. At the desk, an agent will put it on a scale and make a decision in about two…...
DeepSeek V4.1 Flash vs swanOne (blockbrain, Qwen3.8-Flash-Next NVFP4)
1+ day, 9+ hour ago (410+ words) Current leader · BenchAlign Updated September 30, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty. Both of these models will change. Get the price, version and retirement notices for the…...
CellCarta and Imagene AI Expand Collaboration to Validate, Deploy and Scale AI-Powered Biomarker and Companion Diagnostic Programs Across Drug Development
17+ min ago (139+ words) Oct 01, 2026, 09:15 ET The companies are currently working together on programs with two leading global pharmaceutical companies. These include an AI-powered IHC companion diagnostic development program and a separate program applying Imagene AI's Lung Prediction Panel in non-small cell lung cancer…...
Advances in Digital Therapeutics and HoneyNaps AI Enhance Clinical Trial Efficiency
16+ min ago (246+ words) The Manila Times Advances in Digital Therapeutics and HoneyNaps AI Enhance Clinical Trial Efficiency - Supporting pharmaceutical, medical device, wellness, and research organizations in obtaining standardized sleep data - Expanding the use of SOMNUM scoring technology to provide clinical analysis services tailored…...
Large language models discover complementary heuristics for combinatorial optimization - Nature Machine Intelligence
20+ min ago (655+ words) Nature Machine Intelligence (2026) Cite this article Zheng, Y. et al. Large language models for scientific discovery in molecular property prediction. Nat. Mach. Intell. 7, 437–447 (2025). Trinh, T. H., Wu, Y., Le, Q. V., He, H. & Luong, T. Solving olympiad geometry without human demonstrations....
Decoding Disease: The Biomarkers Driving Precision Medicine
36+ min ago (73+ words) Technology Networks Biomarkers are transforming how diseases are detected, monitored, and treated. From early risk assessment to predicting treatment response, these measurable biological indicators help clinicians make more informed decisions throughout the patient care journey. This infographic explores the different…...
Infosys and Columbia University Launch Enterprise AI Research Center
23+ min ago (324+ words) On October 1, 2026, Infosys announced a strategic collaboration with Columbia University to support the development and use of applications in artificial intelligence technologies. The collaboration includes a research center, the Infosys Topaz – Columbia University Enterprise AI Center, led by Columbia Engineering....
Why 90% of AI Coding Agents Fail in Production (And the 25 Deterministic Skills to Fix Them)
42+ min ago (289+ words) If you have experimented with autonomous coding agents (Claude Code, Cursor, Windsurf, Hermes Agent, Codex, or custom LLM orchestrators), you have likely witnessed the "demo trap": In a 60-second video demo or a clean toy repository, the agent appears magical....
Applied Sciences, Vol. 16, Pages 9755: An Adaptive Cross-Domain Recommendation Framework for Structurally Disjoint Domains via Semantic Representation and Similar-User Knowledge Transfer
39+ min ago (459+ words) This study addresses cross-domain recommendation when source-domain users and target-domain items are structurally disjoint. We propose an adaptive framework that embeds source behavior and target-item information in a shared semantic space. Its shared core combines semantic similarity, keyword mapping, preference…...