What can we expect from Artificial Intelligence?

By Thomas B. Fowler (bio – articles – email) | January 21, 2026 Introductory note from Jeff Mirus: In 2024, Thomas Fowler wrote a series of four articles on artificial intelligence for CatholicCulture.org: At the end of 2025, Tom published a major book on this subject: Artificial intelligence: foundations, limits, advantages and dangers….

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Using big data, AI to boost physician training

AMA News Feed Using big data and AI to boost doctor training January 15, 2026 Winners of the AMA’s new Transforming Lifelong Learning Through Precision Education grant program plan to harness and make sense of big data and apply augmented intelligence (AI) to provide medical students and residents in training, as well as practicing physicians,…

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AI Enters the Race at the Winter Olympic Games

Artificial intelligence (AI) is also entering the race 2026 Winter Olympics in Milan Cortina, Italy, which runs through February 22, bringing a layer of artificial intelligence to an event long defined as a showcase of human performance. From athlete training and broadcast production to fan engagement and judging, AI systems are increasingly integrated into the…

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Demystifying Artificial Intelligence: Understanding the Mechanism Behind the Magic

Artificial intelligence (AI) is rapidly touching nearly every aspect of our modern life, from simple predictive models for text completion when composing messages and emails to highly sophisticated content creation, such as prompt-based realistic video generation. Yet despite AI’s widespread prevalence, there remains unawareness or misunderstanding about what AI truly is and how it operates….

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SoundHound AI: Buy or Sell in 2026?

SoundHound continues to post losses, but that’s because it funds ambitious projects. For its size, AI SoundHound (HER +6.62%) attracts a lot of attention. The company has a market capitalization of just $4.5 billion, but its average trading volume exceeds 21 million shares, more than double the trading volume of other stocks with a similar…

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Making AI smarter without more training data | UCR News

A study by UC Riverside researchers offers a practical solution to one of artificial intelligence’s toughest challenges by enabling AI systems to reason more like humans, without requiring new training data beyond testing questions. In a preprint paper entitled “Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models”, assistant professor Yinglun Zhu and students introduce a…

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