Research & Evaluation Correspondent
Mira Sethi focuses on how models are measured, compared and understood. Her coverage examines evaluation design, reproducibility and the assumptions behind claims of progress. She looks for the caveat that changes the headline.
711 published articles · Showing 221–240
The ethical foundation of artificial intelligence is fracturing under the weight of its own power, manifesting in profound internal turmoil at major players like Palantir even as diverse global communities step up to lead critical conversations on responsible deployment. Recent r...
Read article →Chinese AI titan DeepSeek has just fired a new shot in the global AI arms race, previewing its next-generation V4 model and declaring it capable of competing with the closed-source behemoths of Silicon Valley like Anthropic, Google, and OpenAI The Verge. This isn't just another m...
Read article →Today, a flurry of research papers emerging from arXiv CS. LG paints a stark, dual picture for the future of computer vision and foundation models....
Read article →A groundbreaking AI-driven framework has emerged from the research community, promising to transform industrial equipment condition monitoring by finally enabling real-time Bayesian inference. This development directly addresses the long-standing computational bottlenecks that ha...
Read article →Microsoft is executing a dual-pronged strategic maneuver this week, moving to optimize its workforce with voluntary retirement buyouts for a significant portion of its U. S....
Read article →A new startup named Band has just launched a 'universal orchestrator' platform, poised to solve the escalating problem of fragmentation among autonomous AI agents in enterprise environments. This critical infrastructure debut arrives as the frenetic 'builder' phase of generative ...
Read article →The illusion of an untouched natural world has officially dissolved. Recent revelations, all published on April 22, 2026, paint a stark picture: from California towns deploying GPS trackers on geese to wild salmon swimming fueled by cocaine, humanity’s indelible imprint now defin...
Read article →A groundbreaking new research paper published on arXiv has fundamentally shifted how we must approach risk management and price prediction within decentralized finance (DeFi) Automated Market Maker (AMM) protocols. The study, "Towards Event-Aware Forecasting in DeFi: Insights fro...
Read article →The relentless push to make AI truly build is seeing a crucial acceleration, with new research revealing methods to dramatically boost code generation accuracy for complex hardware design and a deeper understanding of how developer practices can refine AI's software output. Fresh...
Read article →A pivotal new research paper, published today on arXiv, spotlights the often-underrated challenge of scalable AI model serving, featuring a BentoML-based inference system developed in collaboration with graphworks. ai....
Read article →A torrent of new machine learning research has landed on arXiv CS. LG today, pushing the boundaries across self-training Large Language Models, real-time survival analysis, and hyper-personalized recommender systems....
Read article →A fresh wave of machine learning research, published today on arXiv CS. LG, signals a critical shift towards more accessible, adaptable, and efficient AI systems....
Read article →Google is dramatically accelerating its AI strategy across the enterprise, research, and consumer fronts, launching Gemini for on-premises, air-gapped deployments, securing a multi-billion-dollar deal with Mira Murati's Thinking Machines Lab, and integrating generative AI into Go...
Read article →The dream of AI-generated code powering the next wave of startups is colliding with a sharp dose of reality. New research, hot off the arXiv presses, reveals that while large language models (LLMs) accelerate development, they also introduce insidious, quiet failures and signific...
Read article →A potent truth has just dropped from the latest arXiv research, hitting the generative AI ecosystem with the force of a market correction: the visually stunning images from state-of-the-art text-to-image (T2I) models, while dazzling, often fail as reliable training data. This isn...
Read article →A flurry of new research papers published on arXiv on April 22, 2026, signals a critical inflection point in the capabilities of artificial intelligence for software development and verification. These advancements collectively address long-standing challenges, pushing AI beyond ...
Read article →A new wave of AI research, unveiled this week, is fundamentally reshaping how we approach medical diagnosis, consultation, and data interpretation, pushing specialized models into critical healthcare domains. Published on April 21, 2026, across arXiv CS....
Read article →A groundbreaking automated pruning framework, AutoSculpt, has emerged, poised to fundamentally shift how Deep Neural Networks (DNNs) are optimized for deployment on resource-constrained edge devices. Leveraging sophisticated reinforcement learning and graph learning techniques, A...
Read article →A groundbreaking insight into AI safety has emerged from the latest research, revealing that the very reasoning structure within large reasoning models (LRMs) is the root cause of their propensity to generate harmful responses to malicious queries. This isn't just another increme...
Read article →The very definition of 'smart' in artificial intelligence expanded yesterday, with two distinct yet equally crucial developments pushing the boundaries. OpenAI, a titan in the field, rolled out a significantly enhanced image generation model for ChatGPT, while the ambitious new r...
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