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New AI-Powered BackPack Helps the Visually Impaired Navigate their Environments

By John K. Waters

Researchers at the University of Georgia's Institute for Artificial Intelligence led by computer vision specialist Jagadish K. Mahendran have developed an AI-powered, voice-activated backpack system designed to help vision-impaired wearers understand and navigate their surroundings. Read More
William Shatner's New Interactive AI 'Goes Where No One Has Gone Before'

By John K. Waters

William Shatner, Star Trek's Captain Kirk, celebrated his 90th birthday with the announcement that he has allowed StoryFile to create an interactive, conversational AI-powered virtual version of himself. Read More
New AI Learns from Thousands of Medical Records to Advise Physicians

By John K. Waters

USC researchers have developed a new AI algorithm that taps into, and learns from, the recorded experiences of thousands of doctors to suggest the best diagnostic strategies. Read More
Quantum Tech Might Speed Up Reinforcement Learning

By John K. Waters

A recent experiment conducted by an international collaboration of researchers might have hit on the right application of quantum tech to kick reinforcement learning into another gear. Read More
AWS Slips in the Rankings of Gartner's AI Developer Services Report

By David Ramel

AWS is still among the "Leaders" in the report, but the analysts positioned the cloud giant behind Microsoft's Azure, Google's GCP, and IBM in several Magic Quadrant categories. Read More
Salesforce Applies AI to Identify 'Customers Most Likely to Purchase'

By John K. Waters

Salesforce has a new AI-driven marketing platform designed to help its users find customers who are ready to buy. Read More
Researchers Explore Machine Learning Calibration

By PureAI Editors

One of the main reasons for the increased interest in the tricky field of ML model calibration is the fact that the more complex a model is, the more likely the model is to not be well-calibrated. Read More
Controversies at Google Raise the Question: What is Ethical AI?

By John K. Waters

Recent high-profile departures from Google throw a spotlight on 'ethical AI.' Read More
Revenue from AI to Exceed $300 Billion this Year, IDC Analysts Predict

By John K. Waters

Worldwide revenues generated by the sales of hardware, software, and services related to artificial intelligence (AI) could reach $327.5 billion this year, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. Read More
DataBricks Partners with Google Cloud to Enable 'Lakehouses' for Data Science and Machine Learning

By John K. Waters

Databricks and Google Cloud are partnering to enable deployment of the Databricks data engineering platform on Google's global network. Read More
IBM Partners with Palantir to Deploy Open AI Apps

By John K. Waters

IBM and Palantir are collaborating on a new tool that combines Big Blue's hybrid cloud data platform with Palantir's next-gen operations platform. Read More
New AI-Based Tools Enable Quantum Computers to 'Self Tune'

By John K. Waters

Researchers at Q-CTRL today announced a new set of tools that use custom AI agents to allow a quantum computer to tune itself. Read More
Microsoft's VinVL "Sees" Richer Collection of Objects

By John K. Waters

Researchers at Microsoft unveil a new object-attribute detection model for image encoding. Read More
Kite Beefs Up Its AI-Powered Code Assistant for Teams

By John K. Waters

The team behind the Kite code completion tool has added a self-hosted machine learning engine to its product roster. Read More
New Rules for AI Coming from the European Union

By John K. Waters

The European Commission is expected to address its concerns about potential societal risks of AI technology sometime this year with a new set of rules, including a requirement for compliance tests and controls. Read More
Warm-Start Training for Machine Learning

By PureAI Editors

The challenge is that when new data arrives periodically, a new prediction model trained using the existing model (a "warm-start"), the resulting new model performs worse than a model trained from scratch (a "cold-start"). Read More

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