Category
2,079 papers
Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must shift: the AI can take on more responsibility when collaboration is stable, maintain its current role when evidence is ambiguous, or return control to the human when conditions deteriora...
Enterprise generative AI applications require robust safety mechanisms that can accommodate diverse risk postures, evolving policies, and varying latency constraints. Current guardrail solutions often suffer from rigidity, relying on fixed policy sets and offering limited transparency or reasoning flexibility. We prese...
Businesses today generate vast amounts of information through sales transactions, customer interactions, marketing campaigns, financial operations, websites and digital platforms. The challenge is no longer simply collecting this information. Organisations need professionals who can transform complex datasets into unde...
Banking and insurance institutions face increasing pressure to transform their business models through digital technologies while advancing sustainability objectives, yet existing research remains fragmented in explaining how digital innovation is translated into sustainable outcomes. This systematic review applies PRI...
Reach audiences
Advertise in front of researchers, engineers, and readers.
This project develops a unified structural framework—Consistency Theory—for understanding how narrative worlds maintain coherence through the integration of anomalies, cognitive fluctuations, cultural distortions, and multi-directional causal structures. Rather than treating contradictions, gaps, or irregularities as f...
This mixed-methods study (N=201 UK undergraduates) identified a “well-being paradox” in AI-mediated learning. Contrary to expected outcomes, it found that greater reliance on generative AI tools for academic purposes was associated with higher academic well-being, especially positive emotion (β≈+0.33) and accomplishmen...
Water quality has emerged as a critical global concern that requires advanced monitoring and management strategies. Traditional water-quality assessment methods predominantly rely on laboratory-oriented analysis that are time consuming, expensive, and are often labor-intensive. This study presents a thorough overview o...
The chapter examines the effects of digitalization and artificial intelligence (AI) on human experience, understanding and healing. It compares the associated developments with the three major historical blows to humanity caused by scientific discoveries: the Copernican revolution, Darwin&s;s theory of evolution, and F...
Abstract The rapid expansion of digital payment ecosystems in India, anchored by the Unified Payments Interface (UPI), has been accompanied by a sharp rise in payment fraud, eroding consumer confidence and threatening long-term adoption. Artificial intelligence (AI)-driven fraud prevention mechanisms—real-time anomaly...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23180288. ## Summary Benchmark scores shape which models get funded, bought, and regulated — yet whether benchmarks measure what they claim to measure is rarely tested. This paper i...
Tweet For decades, ecology has been very good at explaining the past. We can look at a collapsed fishery, a vanished pollinator population, or a coral reef bleaching event and piece together, after the fact, what went wrong. What ecology has struggled to do, and what it needs to get better at, is predicting these chang...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
