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This is the conference presentation slide deck for the paper "Algorithmic Authority and Bias Amplification in AI-Supported Pricing," prepared for the 6th International Conference on Technology and Innovation Management (ICTIM 2026), 5–7 May 2026, Multimedia University, Cyberjaya, Malaysia. Presented by Eid Mohammad Fro...
This paper pushes back on the scary narrative that superintelligent AI is about to "kill" us all, coming straight from the mouths of Big AI companies, AI safety community and AI experts. It uses the AI safety community's own math to show that what they call "rogue AI" is really just a program trying to get a good score...
Physics-integrated Gaussian Splatting either prescribes material parameters by hand or estimates them point-wise from appearance, leaving unstructured numbers that inherit appearance confounding. We show that stiffness can instead be carried by structure: a two-dimensional field $F(s,t)$ on skeleton--surface lines, wit...
Physics-integrated Gaussian Splatting either prescribes material parameters by hand or estimates them point-wise from appearance, leaving unstructured numbers that inherit appearance confounding. We show that stiffness can instead be carried by structure: a two-dimensional field $F(s,t)$ on skeleton--surface lines, wit...
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Data preparation is a cornerstone of the data science lifecycle, yet it remains one of the most time-consuming and human-dependent stages. Human factors are critical here, shaping how users interact with tools, perceive data quality, and make trade-offs under uncertainty. At the crossroads of Human–Computer Interaction...
### How does an AI implementation role map work? An AI implementation role map assigns each build stage to people who can make decisions and operate the resulting workflow. Paloren provides AI strategy, implementation, automation and training, and Aaron Agius co-founded Paloren with Alex Agius before founding Louder. A...
This study examines how sociotechnical imaginaries of artificial intelligence (AI) in cultural heritage are organised across institutionally differentiated Chinese news media and reproduced over time. Drawing on nine outlets from 2022–2025, it combines exploratory computational mapping, thematic analysis, relation-focu...
An integrative theoretical model explaining how and when AI-supported cybersecurity governance may contribute to organizational resilience is developed, and what AI changes in the positive pathway while explicitly recognizing heterogeneity across model classes and deployment arrangements is explained.
DOI kodi: 10.52340/ekonomisti.2026.03.03 Annotation. Funded pension schemes in emerging economies are growing rapidly and accumulating substantial assets on behalf of millions of participants, placing exceptional demands on governance, risk management, and the internal audit function. This paper examines the extent to...
Summary This preprint presents a 2D proof of concept for deciding, before an expensive simulation campaign, whether a pointwise (trajectory-level) grid-convergence study is an appropriate verification target. In chaotic flows, small differences, including those introduced by discretization, grow until pointwise agreeme...
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.
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