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Apple working to cram massive Gemini model into iPhone to power new Siri
As Apple tries to shrink Gemini for the iPhone, a cloud component is probably inevitable.
Trump loses more control over AI regulation as Illinois passes landmark law
Here’s why Anthropic and OpenAI are on board with Illinois safety testing.
Data Formulator 0.7: AI-powered data analytics for enterprise data
Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .
CENIA participa en una de las mayores plataformas de colaboración internacional para el desarrollo de IA
Entre los días 19 y 20 de mayo de 2026, el Centro Brasileño de Investigaciones Físicas (CBPF), ubicado en Urca, Río de Janeiro, se convirtió en el punto de encuentro del GPAI Associated Innovation Workshop Rio de Janeiro. El evento, impulsado en el marco del Laboratorio Nacional de Computación Científica (LNCC) y el Ministerio de […] The post CENIA participa en una de las mayores plataformas de colaboración internacional para el desarrollo de IA appeared first on CENIA .
Arizona's Abundance Playbook
a view from the governor's office
I signed up for another SaaS
new software benchmark
Finding Success in Industry as a Chip Designer
I have been an application-specific IC (ASIC) designer for almost three decades. Over that time, I’ve moved through the full academic trajectory, from graduate student to full professor; later, I transitioned to industry after an unsuccessful stint at entrepreneurship. When I made the switch to the private sector in 2019, I began focusing on a critically important aspect of the electronic industry: silicon intellectual property. As much as 80 percent of the physical area in today’s most advanced chips is occupied by blocks that aren’t made for specific products or even designed by the consumer-facing companies that built them. Instead, chipmakers draw heavily on established silicon IP from companies like Arm , Cadence , Rambus , Synopsys , and the company I work for, Silicon Creations . Throughout my career, I’ve designed chips for very different purposes, including enabling the research program in my academic lab and expanding the IP portfolio of my company. When I joined Silicon Creations, I had no idea how differently the industry approaches IC design and encountered a steep learning curve. Initially, it seemed that much of my two decades of academic research and training did not directly translate to the role. I had to learn new skills and adopt a new mindset. Today, demand for ASICs is rapidly growing, driven by the need for specialized chips in the automotive sector, AI applications, and more. By one market estimate , the ASIC market is expected to grow from US $23.4 b…
How we built Cloudflare's data platform and an AI agent on top of it
Here’s how we built Town Lake, Cloudflare's unified analytics platform, alongside Skipper, an internal AI agent running on top of it.
Mozambique presents draft AI Strategy at ITU Africa workshop
Final AI strategy approval expected by end of 2026 after provincial consultations
Worksheet Package: Formats, Prototypes, and Project Canvas
Worksheet Package: Formats, Prototypes, and Project Canvas c.groth Thu, 05/28/2026 - 14:02 Worksheets and guides Introduction to Think Tanking May 28, 2026 1 min read Worksheet Package: Formats, Prototypes, and Project Canvas Download (pdf - 962.01 KB) Back to homepage
AI Now Summit 2026
Innovations for global enterprises solving the world’s hardest problems.
Vibe gets to work.
The unified agent for long-horizon productivity and coding, launching with Work and Code modes. Plus, a new Vibe VS Code extension.
Namibia to train civil servants in AI, starting at the top
NIPAM launches AI courses in move to modernise Namibia’s Civil Service
Introducing Search Toolkit
Search Toolkit is a composable framework for building production search pipelines for AI applications.
Worksheet package: Personas, AIIM, HMW, and Impact Ladder
Worksheet package: Personas, AIIM, HMW, and Impact Ladder c.groth Thu, 05/28/2026 - 13:42 Worksheets and guides Policy & Stakeholder Analysis May 28, 2026 1 min read Worksheet package: Personas, AIIM, HMW, and Impact Ladder Download (pdf - 1.58 MB) Back to homepage
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.…