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News from Quanta Magazine

Your destination for news from Quanta Magazine. See how Quanta Magazine’s media bias impacts the breaking news stories of today.

In total, 34 have been published by Quanta Magazine which Ground News has aggregated in the past 3 months.

The Ground News media bias check for Quanta Magazine is Center. Scores are assigned by aggregating bias scores from Ad Fontes Media, Media Bias/Fact Check, and All Sides.

Quanta Magazine’s aggregated factuality score is Very High. Factuality is assigned by combining fact check, credibility, and reliability ratings from Ad Fontes Media and Media Bias/Fact Check.

Your destination for news from Quanta Magazine. See how Quanta Magazine’s media bias impacts the breaking news stories of today. In total, 34 have been published by Quanta Magazine which Ground News has aggregated in the past 3 months.

The Ground News media bias check for Quanta Magazine is Center. Scores are assigned by aggregating bias scores from Ad Fontes Media, Media Bias/Fact Check, and All Sides. Quanta Magazine’s aggregated factuality score is Very High. Factuality is assigned by combining fact check, credibility, and reliability ratings from Ad Fontes Media and Media Bias/Fact Check.

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Top Quanta Magazine News

Will AI Ever Understand Language Like Humans?

Artificial Intelligence

Will AI Ever Understand Language Like Humans?

100% Center coverage: 1 sources

Large language models (LLMs) are becoming increasingly more impressive at creating human-like text and answering questions, but whether they can understand the meaning of the words they generate is a hotly debated issue. A big challenge is that LLMs are black boxes; they can make predictions and decisions on the order of words, but they cannot communicate the reasons for doing so. SourceSee the Story

Where Do Scientists Think This Is All Going?

Science · New York

Where Do Scientists Think This Is All Going?

100% Center coverage: 1 sources

In the course of reporting this series on the impact of artificial intelligence on science and math, Quanta writers interviewed close to 100 experts — computer scientists, biologists, physicists, mathematicians and many others. Just about everyone reported seeing the impact of AI in their professional lives, some for an obvious reason: They had some kind of hand in building the technology itself. SourceSee the Story

What Happens When AI Starts To Ask the Questions?

Artificial Intelligence · Vienna

What Happens When AI Starts To Ask the Questions?

100% Center coverage: 1 sources

When Mario Krenn was studying quantum physics at the University of Vienna, he was trained in a particular way of designing new experiments: “You go to a blackboard, and you think very hard,” he said. In 2014, Krenn was trying to come up with a way to observe a particular quantum state. A typical setup would involve sending a laser beam through a finely calibrated array of lenses… SourceSee the Story

Mathematical Beauty, Truth and Proof in the Age of AI

Artificial Intelligence

Mathematical Beauty, Truth and Proof in the Age of AI

100% Center coverage: 1 sources

Since the start of the 20th century, the heart of mathematics has been the proof — a rigorous, logical argument for whether a given statement is true or false. Mathematicians’ careers are measured by what kinds of theorems they can prove, and how many. They spend the bulk of their time coming up with fresh insights to make a proof work, then translating those intuitions into step-by-step… SourceSee the Story

Why Language Models Are So Hard To Understand

Why Language Models Are So Hard To Understand

100% Center coverage: 1 sources

You don’t typically build a machine without understanding how it works. But for artificial intelligence researchers building large language models, understanding is about the one thing they haven’t achieved. In fact, sometimes their work feels more like gardening than engineering. “Put a tomato seed into the ground and you get a tomato plant,” said Martin Wattenberg, a language model researcher… SourceSee the Story

When ChatGPT Broke an Entire Field: An Oral History

ChatGPT · United States

When ChatGPT Broke an Entire Field: An Oral History

100% Center coverage: 1 sources

Researchers in “natural language processing” tried to tame human language. Then came the transformer.See the Story

The Strange Physics That Gave Birth to AI

Artificial Intelligence

The Strange Physics That Gave Birth to AI

100% Center coverage: 1 sources

Modern thinking machines owe their existence to insights from the physics of complex materials.See the Story

What’s Going On Inside Io, Jupiter’s Volcanic Moon?

What’s Going On Inside Io, Jupiter’s Volcanic Moon?

100% Center coverage: 1 sources

Scott Bolton’s first encounter with Io took place in the summer of 1980, right after he graduated from college and started a job at NASA. The Voyager 1 spacecraft had flown past this moon of Jupiter, catching the first glimpse of active volcanism on a world other than Earth. Umbrella-shaped outbursts of magmatic matter rocketed into space from all over Io’s surface. SourceSee the Story

Improving Deep Learning With a Little Help From Physics

Improving Deep Learning With a Little Help From Physics

100% Center coverage: 1 sources

When she was 10 years old, Rose Yu got a birthday present that would change her life — and, potentially, the way we study physics. Her uncle got her a computer. That was a rare commodity in China 25 years ago, and the gift did not go unused. At first, Yu mainly played computer games, but in middle school she won an award for web design. It was the first of many computer-related honors. SourceSee the Story

How a Biofilm’s Strange Shape Emerges From Cellular Geometry

How a Biofilm’s Strange Shape Emerges From Cellular Geometry

100% Center coverage: 1 sources

Biofilms lead lives of liminality. Just a few cells thick, these layered communities of microbes anchor themselves to solid surfaces at interfaces — where rocks meet salt water in tide pools, between plants and dirt in root systems, or on the saliva-covered surface of your teeth. Amalgamations of single cells, biofilms grow and develop into unified life forms that can split back into their… SourceSee the Story

New Proof Settles Decades-Old Bet About Connected Networks

Lausanne · Lausanne

New Proof Settles Decades-Old Bet About Connected Networks

100% Center coverage: 1 sources

It started with a bet. In the late 1980s, at a conference in Lausanne, the mathematicians Noga Alon and Peter Sarnak got into a friendly debate. Both were studying collections of nodes and edges called graphs. In particular, they wanted to better understand a paradoxical type of graph, called an expander, that has relatively few edges but is still highly interconnected. At issue were the very… SourceSee the Story

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