AI Is Reshaping Data Science — And the Skills Needed to Keep Up
The article examines how AI is transforming the field of data science and what new skills professionals need to remain relevant. Source: bbntimes.com
News about foundation models, LLMs, multimodal models, benchmarks, and model releases from OpenAI, Anthropic, Google, Meta, Mistral, and others.
973 articles
The article examines how AI is transforming the field of data science and what new skills professionals need to remain relevant. Source: bbntimes.com
An explainer breaks down the key distinctions between closed, open-weight, and fully open-source AI models, covering access, licensing, and transparency. Source: fastcompany.com
An overview covers Anthropic's founding story, the debates surrounding the company, and its Claude AI chatbot. Source: britannica.com
Indian-origin researcher Anima Anandkumar is pushing AI development toward understanding physical laws, not just language, aiming for models with deeper scientific reasoning. Source: firstpost.com
The piece looks at how LLMs could help preserve and support minority and low-resource languages, giving smaller linguistic communities access to modern AI tools. Source: theedgemalaysia.com
Chinese tech giant Tencent has launched a new open-source AI model aimed at coding and research applications. The move adds to the growing list of open-weight models coming out of Chinese labs. Source: reuters.com
A new study explores using large language models to guide experimental research by having them estimate their own confidence when proposing next steps. The approach aims to make LLM-driven scientific discovery more reliable and data-efficient. Source: nature.com
Tencent has released the weights of a massive 770-billion-parameter AI model, highlighting a growing contrast between open Chinese labs and closed US ones. The move underscores China's push to lead in open-weight large-scale AI development. Source: en.wowtale.net
Tencent has unveiled a larger AI model as part of its effort to close the gap with leading competitors in the field. The release signals intensifying competition among Chinese tech firms in large-scale AI development. Source: caixinglobal.com
Imperial College London and Thomson Reuters have jointly developed a technical approach designed to make sovereign AI more accessible. The collaboration could help more countries and institutions build independent AI capabilities. Source: eurekalert.org
Indian AI company Gnani has introduced its sovereign AI stack called Artha, featuring an open-weight model and agent tools for enterprises. The launch is part of a broader push to build homegrown AI infrastructure. Source: indianexpress.com
Researchers evaluated six large language models on their ability to handle professional dilemma questions from the UK's Multi-Specialty Recruitment Assessment. The paper examines how well AI systems mimic professional judgment expected of medical trainees. Source: cureus.com
A new comparative study evaluated three LLMs — ChatGPT, Claude, and DeepSeek — on how well they explain cardiac imaging topics to patients. The research looks at accuracy, clarity, and usefulness of AI-generated medical explanations. Source: cureus.com
Lightweight 'Flash' variants of large language models are becoming the new flagships among Chinese AI labs, favored for their low cost and strong performance. This shift suggests efficiency is increasingly outweighing raw scale in China's LLM competition. Source: pandaily.com
Thomson Reuters is using decades of accumulated content from its media and legal databases to train its AI systems. The move aims to give its AI tools a strong knowledge foundation built on proprietary, high-quality data. Source: pymnts.com
Startup Leiolai has launched a new AI model built to operate locally on user devices instead of relying on cloud servers. The approach aims to improve privacy and reduce latency for AI-powered applications. Source: itbrief.asia
A discussion piece examines key concepts in AI interpretability and alignment, including J-Space, chain-of-thought reasoning, AI personas, hallucinations, and the famous 'Golden Gate Bridge' Claude experiment. It highlights how these ideas help researchers understand what's happening inside modern AI models. Source: eu.36kr.com
South Korean telecom and tech giants SKT, KT, and Kakao have been selected to lead consortiums providing a free AI service for the public. The initiative is part of a government-backed effort to widen public access to AI tools. Source: koreatimes.co.kr
Researchers have developed a system that detects flaws in software code with roughly 67% accuracy. While not perfect, the tool could help developers catch potential security issues earlier in the development process. Source: quantumzeitgeist.com
New research suggests that cognitive biases embedded in training data or prompts can distort the diagnostic outputs of LLMs used in radiology. Source: rsna.org