Welcome to the latest edition of the 2-Minute AI Newsletter. In this issue, we'll be sharing some of the latest advances in artificial intelligence, machine learning, and deep neural networks. These exciting fields are constantly evolving, and it's important to stay on top of the latest developments!
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- Google today?launched?AI Test Kitchen, an Android app that allows users to try out experimental AI-powered systems from the company’s labs before they make their way into production.?
- Beginning today, folks interested can?complete a sign-up form?as AI Test Kitchen begins to roll out gradually to small groups in the U.S.
- As?announced?at Google’s I/O developer conference earlier this year, AI Test Kitchen will serve rotating demos centered around novel, cutting-edge AI technologies — all from within Google.
- A new work by DeepMind presents the first formal causal definition of agents, which states, in essence, that agents are systems whose policies would change depending on the external environment.
- For their purpose, they used agent systems whose results are influenced by justifications. To put it another way, when an agent makes a decision, it does so because it “expects” that action to lead to a particular result.?
- A new research paper published in eLight demonstrated a new paradigm to achieve privacy-preserving imaging by building a fundamentally new type of imager designed by AI.
- In their paper, UCLA researchers, led by?Professor Aydogan Ozcan, presented a smart camera design that images only certain types of desired objects, while instantaneously erasing other types of objects from its images without requiring any digital processing.
- A research team from Microsoft Research, the University of Pennsylvania, and the University of California, San Diego, proposed TiCoder (Test-driven Interactive Coder) in their most recent publication, “Interactive Code Generation through Test-Driven User-Intent Formalization.”
- This process for test-driven user-intent formalization (TDUIF) uses user feedback to produce code that is 90.40 percent consistent with user intent from natural language inputs.
