AI/ML News & Innovations Hub

Rebooting Enterprise AI with MCP and Kubernetes

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes. Featuring: Craig McLuckie – LinkedIn Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack – Website , GitHub , X Links: Stacklok Toolhive Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here ! Midwest AI Summit 2026

New Classroom Accounts expand quantum access for educators

Classroom Accounts are a new way for educators to give large groups of students free, hands-on access to real quantum computers.

How AI Systems Can Misread Domestic Violence

Flattening complex experiences into datasets can compound harm and undermine healing. The post How AI Systems Can Misread Domestic Violence appeared first on Data & Society .

Leveling up Weaviate Cloud security: Expanding role-based access control for Cloud console

Weaviate Cloud now supports more granular role-based access control with new Editor and Viewer roles for improved security and organizational management.

Security Automation Evolved: From SlackOps to Programmatic SIEM Triage (Part 1/2)

How Sourcegraph's security team evolved from a Slack-based triage bot to programmatic SIEM detection with expression-based auto-close rules.

Security Automation Evolved: From SlackOps to Programmatic SIEM Triage (Part 1/2)

How Sourcegraph's security team evolved from a Slack-based triage bot to programmatic SIEM detection with expression-based auto-close rules.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

Apple is presenting new research at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , which takes place in person in Denver at the Colorado Convention Center from June 3 to June 7. We are proud to sponsor the conference, which brings together the scientific and industrial research communities in computer vision and pattern recognition. Below is an overview of Apple’s participation at CVPR 2026.

Pymes chilenas dan el salto a la IA con nueva alianza entre CENIA y la Subsecretaría de Economía y Empresas de Menor Tamaño

La Subsecretaría de Economía y Empresas de Menor Tamaño, CENIA y Futuro del Trabajo SOFOFA Capital Humano firmaron alianza estratégica destinada a entregar herramientas y contenidos de IA Generativa a las Pymes de Chile a través del programa Digitaliza tu Pyme 2026. El hito se realizó en el marco del anuncio de la “Estrategia Digitaliza […] The post Pymes chilenas dan el salto a la IA con nueva alianza entre CENIA y la Subsecretaría de Economía y Empresas de Menor Tamaño appeared first on CENIA .

The Best AI Observability Tools for Agentic Systems in 2026

AI applications used to rely on a handful of straightforward LLM calls. Now agents make hundreds of decisions in response to a single user input, calling tools, retrieving context, and compounding outputs. When something goes wrong, the failure can be six steps deep and invisible from the outside. Most AI observability tools were designed to […] The post The Best AI Observability Tools for Agentic Systems in 2026 appeared first on Comet .

There is no Copilot without the pilots, says Slovenian insurance executive

The post There is no Copilot without the pilots, says Slovenian insurance executive appeared first on Source .

🔮 Why AI isn’t showing up on your bottom line

A framework to understand your firm’s AI transformation

Journalists in Mexican state of San Luis Potosí jailed, indicted over AI-related charges

“Two reporters, asking to remain anonymous for safety reasons, alerted CPJ [Committee to Protect Journalists] that [Eréndira] Reyes—founder and editor of Facebook-based news page San Wicho Times and the magazine Capital—had been arrested on May 21 by state police in San Luis Potosí, the state capital. [Her daughter Alejandra] Hermosillo was also arrested that same […] The post Journalists in Mexican state of San Luis Potosí jailed, indicted over AI-related charges appeared first on LatAm Journalism Review by the Knight Center .

Journalists in Mexican state of San Luis Potosí jailed, indicted over AI-related charges

“Two reporters, asking to remain anonymous for safety reasons, alerted CPJ [Committee to Protect Journalists] that [Eréndira] Reyes—founder and editor of Facebook-based news page San Wicho Times and the magazine Capital—had been arrested on May 21 by state police in San Luis Potosí, the state capital. [Her daughter Alejandra] Hermosillo was also arrested that same […] The post Journalists in Mexican state of San Luis Potosí jailed, indicted over AI-related charges appeared first on LatAm Journalism Review by the Knight Center .

Extending Human Intelligence Through AI

Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems. The post Extending Human Intelligence Through AI appeared first on Microsoft Research .

Turn Azure Data into an AI-Ready Knowledge Base

Learn how to turn Azure Blob Storage data into an AI-ready knowledge base using Pinecone. A deployable template automates the full ingestion pipeline—parsing, chunking, embedding, and indexing—so your documents are searchable in minutes.

Iran Is Not Venezuela—But That’s Not the Point: The Ethics of American Tactical Power

Despite vast differences, Washington has treated Iran and Venezuela as parallel cases, writes Neda Bolourchi. What does this reveal about the ethics of American power?

Introducing physics AI at Mistral: the foundation for engineering acceleration.

A new class of AI models that predict the behavior of physical systems, powering the engineers and hardware products of tomorrow.

Physics AI research that’s shaping the industry.

Published breakthroughs pushing the state of the art.

Worksheet: Alignment, Interest, Influence Matrix

Worksheet: Alignment, Interest, Influence Matrix c.groth Wed, 05/27/2026 - 13:43 Worksheets and guides Policy & Stakeholder Analysis May 27, 2026 1 min read Worksheet: Alignment, Interest, Influence Matrix Strategic tool to map and analyze stakeholders The Alignment, Interest, Influence Matrix (AIIM) is a strategic tool used in policy advisory work to map and analyze stakeholders. It helps you understand who is relevant to your policy goal, how influential they are, what their interests are, and how aligned they are with your objectives. By using AIIM, you can: Prioritize stakeholders based on their potential to support or block your policy initiative Tailor your engagement strategies based on their level of alignment and interest Identify opportunities to build alliances or mitigate resistance Download (pdf - 343.05 KB) Back to homepage

MiniMax M2 Technical Report Notes

Technical notes on MiniMax M2, including full attention, fine-grained MoE routing, agent training data, speed rewards, and self-evolution.

China's Robotics Dream Began in 1972

a history!

Koog 1.0 Is Out: Stable Core, Better Interop, and Multiplatform Observability

Last week at the KotlinConf 2026 keynote (watch the recording here), we announced Koog 1.0. Koog is JetBrains’ open-source framework for building AI agents in Kotlin and Java. It provides the core building blocks for agentic applications: tools, workflows, persistence, memory, observability, and integrations with existing JVM and Kotlin Multiplatform projects. We introduced Koog at […]

Last Week in AI #341 - Musk loses to OpenAI, Google's IO updates, OpenAI solves Erdős

Elon Musk Loses $150 Billion Suit Against OpenAI and Sam Altman, Google updates its Gemini app to take on ChatGPT and Claude at IO 2026, and more!

definition and example of coords concept

What is coords at csr_matrix?. i confused when i print() my csr_matrix data. something that appear on my terminal is these: Coords Values (0, 1) 3 (1, 0) 4 what the mean of that number tuples on below "coords"?

The Pope’s Encyclical on AI Was Important—Now Comes the Hard Part

The post The Pope’s Encyclical on AI Was Important—Now Comes the Hard Part appeared first on Data & Society .

Place-Based Pathways to a Viable Future

The post Place-Based Pathways to a Viable Future appeared first on Data & Society .

Role-Based Access Control for humans and agents

Introducing Role-Based Access Control for humans and agents, now available for all users on Teams and Enterprise plans.

Using LLMs to Secure Source Code

Build a threat model, discover vulnerabilities, verify, triage, and patch.

AI Weekly Issue #496: Anthropic's Pentagon model is now everyone's model

Anthropic released Mythos to the public, collapsing the wall between cleared-contractor frontier AI and developer-grade frontier AI in a single press release. DeepMind's Demis Hassabis moved his AGI timeline from "five to ten years" to "a real possibility by 2029" and tied it explicitly to AlphaProof Nexus solving nine open Erdős problems for the cost of a steak dinner. Critical zero-days hit Starlette (a million AI agents on the wire) and CrowdStrike led a coordinated takedown of the Glassworm developer botnet across four C2 channels. BNP Paribas formalized a sovereign-AI security partnership with Mistral while Beijing froze overseas travel for top AI engineers at Alibaba and DeepSeek. And the AI-displaces-workforce arithmetic got honest: Uber burned its full-year AI token budget by April, ClickUp restructured to 1,000 humans alongside 3,000 internal agents, and Sam Altman publicly reversed his white-collar-apocalypse prediction.

When AI Makes You Worse at Your Job

The post When AI Makes You Worse at Your Job appeared first on Data & Society .

The Pope Takes On AI

As the technology's reputation wobbles, the pope joins a chorus of AI watchers calling out its potential harms and working with the industry to mitigate them.

Choosing to Stay Human

If you go to your favorite social media site, you will find it full of posts that start to look suspiciously similar to each other:

PyCaret 3.4.0 and scikit-learn return different results

I am currently working with PyCaret 3.4.0, since 4.0 lacks some configuration parameters that are useful for my case. I tried to replicate PyCaret results using scikit-learn. This is my script, after running Pycaret's setup and obtaining the transformed data: compare_models(include=['rf'],cross_validation=True) scoring=['accuracy','precision','recall','f1','f1_macro','f1_weighted','f1_micro', 'roc_auc'] rfc = RandomForestClassifier(random_state=42, n_jobs=-1) scores = cross_validate(rfc, xtrain_trans, ytrain_trans, scoring=scoring, cv=cv) compare_models return these results: Model Accuracy AUC Recall Prec. F1 Kappa MCC TT (Sec) rf Random Forest Classifier 0.7164 0.7617 0.7164 0.7254 0.7137 0.4329 0.4416 0.25 but I get these results from sklearn: Accuracy=0.6948717948717947 AUC=0.7411665257819103 Recall=0.6908791208791208 Precission=0.7005056185644422 F1=0.6867142420587947 F1_macro=0.6910345427878428 F1_weighted=0.6911863570749788 F1_micro=0.6948717948717947 Just to clarify, I am using the exactly same CV splitter on both PyCaret and sklearn. cv = RepeatedStratifiedKFold(n_splits=5, n_repeats=10, random_state=42) The setup used was: setup(xtrain, target = 'Group', session_id=42, test_data=xtest, #None default imputation_type=None, remove_multicollinearity=True, multicollinearity_threshold=0.70, remove_outliers=True, transformation=True, transformation_method='quantile', normalize=True, feature_selection=False, fold_strategy=cv, use_gpu=True) I know the differences are small.…

Google DeepMind CEO Loves Hard Questions 🙂

Full video: https://youtu.be/huAwz_BR8WM #shorts

Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEs

The Kubernetes project relies on transparency to empower cluster administrators and security researchers. One important way we do that is by publishing CVE records into the Common Vulnerabilities and Exposures database. As part of our ongoing effort to mature the official Kubernetes CVE Feed , we have identified some discrepancies. CVE records for a few older, unfixed issues incorrectly include a fixed version field. The Kubernetes Security Response Committee (SRC) will correct the affected CVE records on June 1, 2026. This may result in vulnerability scanners identifying these vulnerabilities in places where they were previously not detected. To help reduce confusion, this post provides a technical update on three vulnerabilities that were disclosed in previous years but remain unfixed: CVE-2020-8561 , CVE-2020-8562 , and CVE-2021-25740 . Why we are updating these records now While these vulnerabilities have been public for several years, the recent work to generate official Open Source Vulnerabilities (OSV) files revealed that their corresponding CVE records did not accurately reflect their status. Specifically, some records suggested a fixed version existed, when in reality, these issues are architectural design trade-offs that cannot be fully remediated through code without breaking fundamental Kubernetes functionality. Correcting these records is vital for the community for: Automation Fidelity : Modern vulnerability scanners depend on precise version ranges. Inaccurate…

Gemini for Science is here. 🧬

Some ideas for what comes next, May 2026

Gemini Flash 3.5, Mythos, open-closed balance, America's open-source surge, emerging power struggles and more.

Is SaaS dead?

MCP comeback in works

Import AI 458: Reckoning with the future; and a singularity story

What AI-driven miracles will happen this year?

WarTalk: Ukraine War Tactical Update

with Rob Lee

Vacancy: Project Manager

Position title: Project ManagerReports to: Research DirectorLocation: Cape Town, South Africa (Hybrid)Duration: Full-time contract Overview Research ICT Africa is seeking a highly organised and proactive Project Manager to support the […] The post Vacancy: Project Manager appeared first on Research ICT Africa .

How Four Teams Stopped Postponing the Refactoring They Knew They Needed

As an engineering leader, you don’t need to be told your codebase needs attention. The issue isn’t awareness – it’s the rational risk calculation that follows. For four teams, that calculation kept producing the same answer: defer. They found a way out not by avoiding the calculation, but by changing what went into it. To […]

LWiAI Podcast #246 - Gemini 3.5 + Omni, Musk Loses, OpenAI vs Erdős

Google unveils AI model Gemini 3.5 and AI agent Gemini Spark, Omni turns images, audio, and text into video, Musk loses OpenAI court battle

Fake Academic Journals Are Publishing AI-Generated Papers Under Real Professors’ Names

The post Fake Academic Journals Are Publishing AI-Generated Papers Under Real Professors’ Names appeared first on Data & Society .

AI Job Losses Are Increasing. Are Training Programs the Answer?

The post AI Job Losses Are Increasing. Are Training Programs the Answer? appeared first on Data & Society .

Women Are Leading the Rebellion Against AI Data Centers

The post Women Are Leading the Rebellion Against AI Data Centers appeared first on Data & Society .

[Registrations closed] Qiskit Global Summer School 2026

Sign up for Qiskit Global Summer School 2026: A decade on the cloud — a free, virtual program for learning quantum computing with Qiskit.

HELM Arabic Enterprise

We present HELM Arabic Enterprise, a leaderboard for transparent, reproducible evaluation of large language models on Arabic-language benchmarks designed around enterprise use cases. The leaderboard was developed in collaboration with Arabic.AI and builds on the HELM evaluation methodology: standardized prompting, fully logged requests and responses, and reproducible scoring through the open-source HELM framework.

Demis Hassabis On What AI Will Do Next

Thank you to Google DeepMind for the invite. 🙏 ❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers Our Patreon if you wish to support us: https://www.patreon.com/TwoMinutePapers 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi My research: https://cg.tuwien.ac.at/~zsolnai/ Thumbnail design: https://felicia.hu 00:00 Intro 00:40 Gemini Health Scans and Gemma 4 01:30 AI as a Brainstorming Partner 02:30 Second Order Nobel 03:15 DeepMind Co-Scientist 05:00 Curing All Diseases 06:30 Exponential Growth in Drug Discovery 07:45 Regulatory Bottlenecks 09:45 Accelerating Clinical Trials 11:15 EVE Online Partnership 13:15 The Einstein Test 15:30 Recursive Self-Improvement 18:15 Lightning Round 19:30 The Badge of Honor 20:10 Behind the Scenes

Mohamad Moosavi: Accelerating the search for climate solutions with AI

Mohamad Moosavi, Assistant Professor, Chemical Engineering, University of Toronto | Vector Institute Faculty Member The path to breakthrough climate technologies often moves at a frustrating pace. Consider metal-organic frameworks – […] The post Mohamad Moosavi: Accelerating the search for climate solutions with AI appeared first on Vector Institute for Artificial Intelligence .