Machine Learning

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This AI Paper from Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and then Completely Fall Apart in Real Use

agentic ai, AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, Staff, Tech News, Technology

Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, yet they still struggle with unreliable tool use, weak long horizon planning, and poor generalization. The latest research paper ‘Adaptation of Agentic AI‘ from Stanford, Harvard, UC

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How do AI coding agents work? We look under the hood.

agentic ai, ai, AI Agents, AI coding, AI work, anthropic, Artificial Intelligence, Biz & IT, Claude Code, Codex, context windows, Large Language Models, Machine Learning, OpenAI, Programming, software development, vibe coding

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools are not magic and can complicate rather than simplify a software project. Understanding how they work under the hood can help developers

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Google Health AI Releases MedASR: a Conformer Based Medical Speech to Text Model for Clinical Dictation

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology

Google Health AI team has released MedASR, an open weights medical speech to text model that targets clinical dictation and physician patient conversations and is designed to plug directly into modern AI workflows. What MedASR is and where it fits? MedASR is a speech to text model based on the Conformer architecture and is pre

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Google DeepMind Researchers Release Gemma Scope 2 as a Full Stack Interpretability Suite for Gemma 3 Models

agentic ai, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology

Google DeepMind Researchers introduce Gemma Scope 2, an open suite of interpretability tools that exposes how Gemma 3 language models process and represent information across all layers, from 270M to 27B parameters. Its core goal is simple, give AI safety and alignment teams a practical way to trace model behavior back to internal features instead

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Building a Local Face Search Engine — A Step by Step Guide

Artificial Intelligence, embedding, Face Recognition, face-search, Machine Learning

Building a Local Face Search Engine — A Step by Step GuidePart 1: on face embeddings and how to run face search on the flySample demonstration of face recognition and search for the cast of “The Office”In this entry (Part 1) we’ll introduce the basic concepts for face recognition and search, and implement a basic working solution purely in Python.

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A Framework for How Data Informs Decisions The Decision Intelligence / Data Science Integration Framework

Artificial Intelligence, black swan, black swan events, black swan problem, causal decision diagram, chain of reasoning, Complex Systems, data, Data Science, decision intelligence, decision model, integration, key performance indicator, key process indicator, link, link book, Machine Learning, Strategic complexity

As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how

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How to Avoid the Next AI Winter It’s time to end the AI summer/winter cycle once and for all. Five ways to get real.

Artificial Intelligence, decision intelligence, Machine Learning, Robotics, Technology analysis

The introduction of the cotton gin wasn’t accompanied by an entire genre of Hollywood movies dedicated to the gin “singularity”. Nor did we usher in Golden Age of telecommunications with blockbuster killer “phone web” stories. Artificial Intelligence is different. Like other disruptive technologies, it is having far-ranging effects, good and bad. But uniquely, quality AI

How to Avoid the Next AI Winter It’s time to end the AI summer/winter cycle once and for all. Five ways to get real. Read More »

Thinking of Starting an Enterprise AI Project?

AI for the enterprise, Artificial Intelligence, decision intelligence, Intelligence Amplification (aka Intelligence Augmentation) (IA), Introduction, Machine Learning, Machine Learning Software Engineering (MLSE)

Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start? You might be a CIO or other technical leader, looking to avoid being left in the dust behind this important technology. Based on our experience delivering dozens of AI projects (thousands of models) over 30 years,

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The #COVID19 Driver’s Seat

AI for the enterprise, Artificial Intelligence, Behavioral Economics, Behavioral psychology, Big Data, Cognitive science, Complex Systems, complexity science, computational neuroscience, COVID-19, Data Science, Decision Analysis, decision intelligence, design thinking, Econometrics, Economics, epidemiology, Finance, human capital management, Intelligence Amplification (aka Intelligence Augmentation) (IA), Knowledge Management, Machine Learning, operations research, Predictive Analytics, prius, Risk Analysis, Simulation, Statistics, toyota, Wicked Problems

I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery.  I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID

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Welcome to the Personal Artificial Intelligence Revolution

Artificial Intelligence, Complex Systems, decision intelligence, Introduction, Machine Learning, Machine Learning Software Engineering (MLSE), Unintended consequences

Like it or not, technology is everywhere. We have long ago passed a time where computers were relegated to men in white coats in distant rooms. It’s now in our pockets, in our faces, and mediates many of our relationships. Yet, as Shoshana Zuboff explains in The Age of Surveillance Capitalism, recent years were characterized

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