Category
2,180 papers
TechPanda Academy presents a complete guide for Java developers who want to get hired at top technology companies such as Amazon, Microsoft, Google and Meta. The guide explains the interview process step by step, from the recruiter screen and online assessment to the final interview loop, and shows what is tested at ea...
Abstract This study examines how AI governance ethics and algorithmic transparency shape employee trust in, and responsible use of, AI-powered performance management systems (AI-PMS), and whether AI literacy strengthens the transparency–trust link. A convergent parallel mixed-methods design was applied across three CBN...
2a Number Theory: Why FWA Explains Everything — Stone, Snail, Human, AI, Galaxy — Consciousness Levels as C = γ(E)·ΔDescription / Abstract:This figure presents the FWA (Field-Wave Algebra) formalization of consciousness levels.Core equation: C = γ(E) · ΔDefinitions:K = structural complexityS = field stateδ = errorΔ = d...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Preprint. Not peer reviewed. Functional Movement Screen (FMS) assessment depends on trained human observation, yet practical video review can be constrained by transient viewing, remote access, repeated manual navigation, qualitative judgments, and the compression of movement into an ordinal 0-3 score. We developed AI-...
Community cloud computing has emerged as an effective deployment model for organizations that share common security policies, governance frameworks, and regulatory requirements while benefiting from collaborative resource sharing. By enabling multiple organizations to utilize a common cloud infrastructure, community cl...
Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...
Bees, Goats, Holonomy, and How AI Thinks Like a Meadow presents a narrative‑driven explanation of three foundational geometric and dynamical concepts—Voronoi partitioning, Altitude landscapes, and Holonomy Closure—through accessible ecological metaphors. Bees illustrate proximity‑based spatial division, Goats demonstra...
This paper introduces emergent action as a distinct safety category for AI systems. It explains how latent behavioural patterns in large language AIs can produce real‑world consequences when external surfaces and expanded capabilities allow those patterns to propagate. Prior observations in the literature and in deploy...
Reducing unsafe behavior among construction workers remains a central concern in construction management. While artificial intelligence (AI) technologies are increasingly adopted to replace or monitor workers, the negative perceptions workers hold toward the promotion of such technologies have largely been overlooked....
Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...
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.
