AI News Today

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AI_IO.max-600x600.format-webp.webp">Learn how Googlers used AI to produce Google I/O 2026.

Everything impacts everything.

Memory is arguably the most serious constraint on modern AI large language models (LLMs). According to one influential paper, LLM token generation is an inherently memory-bound task, meaning the rate at which models output text is limited by how quickly data can be read in from memory. The severity of this bottleneck grows with model size. This creates a “memory wall” that holds back LLM inference performance.AI hardware startup Majestic Labs is taking a direct—and comprehensive—approach to solv

The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and developers scaling agentic AI applications.  NVIDIA AI Clouds are a growing ecosystem of purpose-built clouds serving the exploding token demand behind today’s most popular AI applications. […]

Only six weeks after Opus 4.7, we have Opus 4.8.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/IOQuiz2026_social.max-600x600.format-webp.webp">We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.

Is there a role for Privacy Enhancing Technologies (PETs) to play in the context of international data transfers? The answer to this question could be one of the keys to unlock trusted cross-border data flows at scale in the age of AI. This was the topic explored in a session organized by the Future of […]

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Gemini_Omni_and_Gemini_3.5_hero.max-600x600.format-webp.webp">Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/FutureLabs_social.max-600x600.format-webp.webp">University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

When I was in college, privacy existed but the privacy profession did not. Some cynics might say that the reverse is true now, but the reality is more complex: even amidst mounting pressures on individual privacy, there are arguably more privacy protections enshrined into law around the world than ever before.  One point, though, is beyond […]

General Science

The Future of Privacy Forum (FPF) has released a suite of practitioner resources on Privacy Enhancing Technologies (PETs) for the education sector. Building on FPF’s 2025 landscape analysis of PETs adoption by State Education Agencies, the new resources move from landscape analysis to implementation considerations — providing audience-specific guidance for the three practitioner communities most […]

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.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/KW_KNH.max-600x600.format-webp.webp">Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.

Last week ended on a cliffhanger of sorts.

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

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.

Connecticut’s SB 5 fits a lot of AI obligations into a small bill number. This week, Governor Lamont (D) signed the 39-section bill into law, creating new requirements across several fast-moving areas of AI policy, including companion chatbots, automated employment decision tools (AEDTs), social media, and provenance data. The law also includes provisions related to […]

The Connecticut Data Privacy Act (CTDPA) has been revised multiple times since being enacted in 2022: SB 3 added heightened protections for consumer health data and for minors in 2023; and SB 1295 in 2025 expanded the law’s scope, updated and added consumer rights, modified the data minimization and purpose limitation requirements, prescribed impact assessment […]

Security, Privacy and Abuse Prevention

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.

This article is adapted by the author with permission from Tech Policy Press. Read the original article.South Africa is not just another developing country struggling to govern artificial intelligence; it is the exception with leverage, and the window to act on it is closing. It holds approximately 88 percent of global platinum-group metal reserves, critical inputs to parts of the semiconductor and data-center supply chains that make AI infrastructure possible. It hosts the largest data-center m

What is the role of a teacher once AI arrives in the school classroom?

His holiness has spoken, frequently about AI.

On a sunny Tuesday afternoon in May, San Francisco Bay is busy. Container ships the size of skyscrapers deliver their wares to the Port of Oakland, tankers bear fuel, and ferries carry tourists to their hikes and commuters to their jobs at AI startups. Looking down at this marine traffic from Angel Island, located near the entrance to the bay, a group of excited scientists point to some sparkles on the surface of the water: Three gray whales are coming up for breath.A collaboration of government

✍️ Column by Connor Wright, our Director of Partnerships. Photo Credit: Jackie Hutchinson on Unsplash Overview: Our Director of Partnerships, Connor Wright, was invited to speak at the MISSION Hubs Forum2026 in Montreal on the 11th of May, a key gathering for creative agencies across the world. Tasked with “Demystifying the AI-influenced reality,” and in […] Source

✍️By Emma Edney from Encode Canada. Emma is a BCL/JD McCall MacBain Scholar candidate at McGill University. Her interests include ethical issues surrounding personal information in technology and the impact of AI on litigation work. Emma is a writer at Encode Canada and a junior editor for the McGill Health and Law Journal. 📌 Editor’s Note: […] Source

✍️By Kennedy O’Neil from Encode Canada. Kennedy is an undergraduate sociology student at McGill University, with a minor in psychology, and a writer for Encode Canada. 📌 Editor’s Note: This piece is part of our Recess series, featuring university students from Encode’s Canadian chapter at McGill University. The series aims to share insights from university […] Source

On therapy sessions, Slack archives, and citations that didn't exist. Source

✍️ By Sarah Ruth and Marion Meyers Sarah is a researcher committed to building critical AI literacies and worked as a copywriter on the Resist List. Marion is an independent researcher focused on AI and degrowth, and worked as a project manager on the Resist List. 📌 Editor’s Note: This article is part of our […] Source

Power, Fracture, Resistance SAIER Volume 8 (2026) is now open for contributions. We are looking for practitioners, researchers, advocates, policymakers, and community members who are doing the work and who want to help document it. → Submit your expression of interest. About SAIER Since the first edition in 2020, the State of AI Ethics Report […] Source

✍️By Selen Dogan Kosterit Selen is a PhD Student in Political Science and a Graduate Affiliate at the Governance and Responsible AI Lab (GRAIL), Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the Governance and Responsible AI Lab […] Source

“Social engineering” sounds like something out of a conspiracy thriller, charged with totalitarian control and fringe paranoia. More mundanely, it’s come to be associated with phishing and other scams, in which fraudsters manipulate people into disclosing personal information. Yet the concept is older and more benign: it is the deliberate shaping of human behavior, often at scale. It predates silicon—and became pervasive, and ungoverned, especially once its practitioners learned to hide it. Auth

This webinar presents a workflow offering end-to-end solutions for designing, training, validating and verifying, compressing, and deploying AI-based virtual sensor models to embedded processors within a single environment.HighlightsIntegrate AI models into Simulink for system-level simulation, verification, and simulation-based testingApply formal verification techniques to assert neural network behaviorCompress the AI model for memory footprint reduction and execution speedupGenerate library-f

Bees and other pollinating insects play vital roles in food webs and crop pollination, yet monitoring them has proved difficult. That’s why researchers have developed a radar system that could lead to a cost-effective, noninvasive way to track pollinators.Traditionally, identifying pollinators has proven tricky and time-consuming, and typically requires capturing and killing insects to get a close look at them. To find a better way to monitor pollinators, scientists are developing vision systems