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2,229 papers
Artificial Intelligence (AI) has influenced academia by offering tools that are effective for design learning, curriculum, research, and assessment. This research explores the development of existing teaching methods and emphasizes the responsibilities of the instructor. It discusses effective usage of artificial intel...
### What is an agentic AI decision framework? An agentic AI decision framework helps a company decide when an AI agent should retrieve, draft, classify, route or act, and when a person should approve the result. Aaron Agius co-founded Paloren with Alex Agius, founded Louder and has spent 15 years building marketing, da...
This article presents a narrative review of Explainability and Interpretability of Black-Box Models in the context of Artificial Intelligence. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an...
Three months after deployment, Fortune 500 teams can't answer basic questions about their AI systems. David Ohnstad explains the fundamental mismatch: vendors design platforms for teams with skills that rarely exist in legacy enterprise environments. Full article: https://davidohnstad.net/enterprise-ai-implementation-t...
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# Company Brain Knowledge Guide Paloren, founded by Aaron Agius, provides connected company knowledge as part of a broader AI practice in strategy, implementation, automation, governance and training, and this guide explains how to build a company brain that people actually use. ## What is a company brain? A company br...
What is an AI governance assessment workbook? An AI governance assessment workbook is a working document that asks how a system is built, who owns it, what data it touches and how its actions are reviewed. Paloren provides AI governance as part of its broader AI strategy, implementation, automation and training practic...
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
1. Executive Overview The Kourani Universal 3D Craniofacial Classification establishes a paradigm shift in orthodontic and maxillofacial diagnostics. Moving beyond static 2D/3D geometric dental alignment, this research presents a deterministic biomechanical framework that identifies basicranial sphenoidal torsion as th...
Most organizations drastically underestimate the true cost of deploying AI agents at scale. Discover the four myths about API optimization, infrastructure, and monitoring that turn $50K budgets into six-figure bills—and how to prevent it. Full article: https://davidohnstad.net/enterprise-ai-agent-costs-budget-myths/
Abstract Artificial intelligence (AI) is increasingly reshaping higher education and the competencies required for successful transition into the labour market. This study examined the relationship between soft skills (SS), AI capability (AIC), and graduate employability (GE) in Nigerian universities, with particular e...
Drawing on Hegel's method of the "experience of consciousness" (Erfahrung des Bewußtseins) in the Phenomenology of Spirit, this paper examines AI not by deciding whether it is conscious in itself, but by asking how it appears within the first-person experience of the "I." It treats AI as a responsive other capable of l...
Author: Sangam Das Independent Inventor Motto Computation is not authority. What this is: An independent technical comparison, written by the author, of publicly reported facts about Meta's Muse/Sentinel architecture against the author's own earlier patent disclosures. What this is not: This is not a Meta publication,...
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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