A few months ago, AI made headlines for cracking a mathematical puzzle that had stumped experts for decades. Mathematician Paul Erdős posed the unit-distance conjecture, predicting how many pairs of points could lie the same distance apart. AI proved it wrong by tracking down a group of infinite counterexamples to the solution Erdős proposed.A few months ago, AI made headlines for cracking a mathematical puzzle that had stumped experts for decades. Mathematician Paul Erdős posed the unit-distance conjecture, predicting how many pairs of points could lie the same distance apart. AI proved it wrong by tracking down a group of infinite counterexamples to the solution Erdős proposed.Business[#item_full_content]

As the world is increasingly flooded with deepfakes, the European Union is taking action to help people distinguish what is real and what is not.As the world is increasingly flooded with deepfakes, the European Union is taking action to help people distinguish what is real and what is not.Security[#item_full_content]

Human beings have long told versions of the same warning: Be careful what you wish for. In Greek mythology, King Midas got exactly what he asked for, but at the cost of everything else he valued. In the famous story of The Monkey’s Paw, a man’s wishes are granted through terrible and unforeseen routes.Human beings have long told versions of the same warning: Be careful what you wish for. In Greek mythology, King Midas got exactly what he asked for, but at the cost of everything else he valued. In the famous story of The Monkey’s Paw, a man’s wishes are granted through terrible and unforeseen routes.Machine learning & AI[#item_full_content]

A “centaur” is a human helped by a machine: The person sets the direction, the machine supplies the horsepower, and together they are better than either one alone.A “centaur” is a human helped by a machine: The person sets the direction, the machine supplies the horsepower, and together they are better than either one alone.Consumer & Gadgets[#item_full_content]

Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run experiments and search scientific literature, but carrying out open-ended research would require a significant leap in ability.Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run experiments and search scientific literature, but carrying out open-ended research would require a significant leap in ability.Computer Sciences[#item_full_content]

A new paper from Monash University and Australia’s national science agency, CSIRO, argues that effective human–robot teams depend on alignment: a shared and up-to-date understanding of each teammate’s capabilities and limitations, the task and situation, and their respective roles and timing.A new paper from Monash University and Australia’s national science agency, CSIRO, argues that effective human–robot teams depend on alignment: a shared and up-to-date understanding of each teammate’s capabilities and limitations, the task and situation, and their respective roles and timing.Robotics[#item_full_content]

Organizations can describe artificial intelligence using familiar words like “thinking,” “writing” and “learning.” But according to Carnegie Mellon University historian Christopher Phillips, those terms may tell us as much about how humans talk about technology as they do about the technology itself.Organizations can describe artificial intelligence using familiar words like “thinking,” “writing” and “learning.” But according to Carnegie Mellon University historian Christopher Phillips, those terms may tell us as much about how humans talk about technology as they do about the technology itself.Machine learning & AI[#item_full_content]

Business leaders and investors face a deepening paradox: Companies are pouring more money into artificial intelligence than ever, but they’re not seeing the productivity gains they expect.Business leaders and investors face a deepening paradox: Companies are pouring more money into artificial intelligence than ever, but they’re not seeing the productivity gains they expect.Business[#item_full_content]

Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech’s Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take, for example, weather models, says Anandkumar, Caltech’s Bren Professor of Computing and Mathematical Sciences. If you want an AI model to predict weather, it must understand chaotic physical systems, like how the atmosphere changes around the planet and over time.Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech’s Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take, for example, weather models, says Anandkumar, Caltech’s Bren Professor of Computing and Mathematical Sciences. If you want an AI model to predict weather, it must understand chaotic physical systems, like how the atmosphere changes around the planet and over time.Computer Sciences[#item_full_content]

AI data centers get a bad rap, not least because of concerns that they drive climate change by consuming massive amounts of electricity. But one potentially larger impact of AI on global carbon emissions may be that it’s helping the fossil fuel industry become more productive. That’s the main finding of a paper published in the journal npj Climate Action that looked at how boosting productivity across both clean and dirty energy sources affects net CO2 emissions.AI data centers get a bad rap, not least because of concerns that they drive climate change by consuming massive amounts of electricity. But one potentially larger impact of AI on global carbon emissions may be that it’s helping the fossil fuel industry become more productive. That’s the main finding of a paper published in the journal npj Climate Action that looked at how boosting productivity across both clean and dirty energy sources affects net CO2 emissions.Energy & Green Tech[#item_full_content]