doi.org/10.1109%2F93.311653
Video management tools and techniques are based on pixels rather than perceived content. Thus, state-of-the-art video editing systems can easily manipulate such things as time codes and image frames, but they cannot "know," for example, what a basketball is. O…
doi.org/10.1109%2Fmsp.2012.2205597
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM fits a frame or a short window of frames of coefficients tha…
arxiv.org/abs/1606.08813
We summarize the potential impact that the European Union's new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take effect as law across the EU in 2018, it will restrict automated individual decision-m…
theconversation.com/ai-is-closer-than-ever-to-passing-the-turing-test-for-intelligence-what-happens-when-it-does-214721
The Turing test, first proposed in 1950 by Alan Turing, was framed as a test that could supposedly tell us whether an AI system could ‘think’ like a human.
doi.org/10.1162%2F99608f92.8cd550d1
arxiv.org/abs/2502.08640
As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and…
doi.org/10.1007%2Fs00146-025-02265-2
This paper develops a critical theory of artificial intelligence, within a historical constellation where computational systems increasingly generate cultural content that destabilises traditional distinctions between human and machine production. Through this…
doi.org/10.1007%2Fs10694-021-01157-3
web.archive.org/web/20240627143853/https://venturebeat.com/ai/mojo-rising-the-resurgence-of-ai-first-programming-languages
Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks.
arxiv.org/abs/2402.19450
We propose a framework for robust evaluation of reasoning capabilities of language models, using functional variants of benchmarks. Models that solve a reasoning test should exhibit no difference in performance over the static version of a problem compared to…
go.microsoft.com/fwlink/?linkid=2339287&clcid=0x409
Why agents need a new foundation Over the last year, developers have been experimenting with AI agents in every imaginable form. Agents are not just chatbots or copilots — they are autonomous software components that can reason about goals, call tools and APIs…
blogs.microsoft.com/on-the-issues/2024/09/23/global-governance-goals-and-lessons-for-ai
Today, we’re excited to share Global Governance: Goals and Lessons for AI, a collection of external perspectives on international institutions from different domains, brought together with our own thoughts on goals and frameworks for global AI governance.
aka.ms/Community/Learning
Subscribe to this channel for technical skilling content provided by Microsoft and community content creators on Copilot experiences, Microsoft 365, Power Pl...
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store.google.com/config/pixel_10_pro?hl=en-US&selections=eyJwcm9kdWN0RmFtaWx5IjoiY0dsNFpXeGZNVEJmY0hKdiJ9
Get the Luxuriously refined Pixel 10 Pro or Pixel 10 Pro XL with a silky matte glass back, polished frame, and Pixel’s brightest display yet.
ui.adsabs.harvard.edu/abs/arXiv:2601.10804
Large Language Models (LLMs) exhibit strong multilingual capabilities, yet remain fundamentally constrained by the severe imbalance in global language resources. While over 7,000 languages are spoken worldwide, only a small subset (fewer than 100) has sufficie…
workspace.google.com//security/zero-trust
Zero trust is a security framework that ensures all users are authenticated, authorized, and continuously validated before accessing applications and data. Achieve zero trust security with Google Workspace.
workspace.google.com/security/zero-trust
Zero trust is a security framework that ensures all users are authenticated, authorized, and continuously validated before accessing applications and data. Achieve zero trust security with Google Workspace.
cloud.google.com/security/compliance/?hl=en
Discover Google Workspace and Google Cloud resources on regulatory compliance, certifications, and frameworks across regions and industries.
developers.googleblog.com/2022/05/general-availability-of-app-actions.html