This Thiel-backed venture allows doping in its own sports
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This Thiel-backed venture allows doping in its own sports

Backed by Peter Thiel and Donald Trump Jr.’s 1789 Capital, the Enhanced Games aims to disrupt the Olympics with a competition that allows athletes to dope. Launching in Las Vegas in May 2026, the games promise $1 million bounties for breaking world records and lean on a business model reminiscent of Red Bull’s, using the […]Backed by Peter Thiel and Donald Trump Jr.’s 1789 Capital, the Enhanced Games aims to disrupt the Olympics with a competition that allows athletes to dope. Launching in Las Vegas in May 2026, the games promise $1 million bounties for breaking world records and lean on a business model reminiscent of Red Bull’s, using the[#item_full_content]

Enhanced Games founder on the controversial ‘future of sports’
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Enhanced Games founder on the controversial ‘future of sports’

Can performance-enhancing drugs push the limits of human potential? The creators of the Enhanced Games say yes — and they’re building a new sporting event to prove it.   Backed by Peter Thiel and Donald Trump Jr.’s 1789 Capital, the Enhanced Games aims to disrupt the Olympics with a competition that allows athletes to dope. Launching […]Can performance-enhancing drugs push the limits of human potential? The creators of the Enhanced Games say yes — and they’re building a new sporting event to prove it.   Backed by Peter Thiel and Donald Trump Jr.’s 1789 Capital, the Enhanced Games aims to disrupt the Olympics with a competition that allows athletes to dope. Launching[#item_full_content]

Federated learning AI developed for hospitals and banks without personal information sharing
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Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each institution optimizes the collaboratively trained AI to suit its own environment, a limitation arose: The AI became overly adapted to the specific institution’s data, making it vulnerable to new data.Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each institution optimizes the collaboratively trained AI to suit its own environment, a limitation arose: The AI became overly adapted to the specific institution’s data, making it vulnerable to new data.Security[#item_full_content]

‘Metabots’ shapeshift from flat sheets into hundreds of structures
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Researchers have created a class of robots made from thin sheets of material that can snap into hundreds of stable shapes, allowing them to execute a wide variety of actions despite the fact that they have no motor and are made of a single, flat material. These “metabots” essentially resemble animated sheets of plastic, capable of moving around a surface or grasping objects.Researchers have created a class of robots made from thin sheets of material that can snap into hundreds of stable shapes, allowing them to execute a wide variety of actions despite the fact that they have no motor and are made of a single, flat material. These “metabots” essentially resemble animated sheets of plastic, capable of moving around a surface or grasping objects.[#item_full_content]

Soft skin allows vine robots to navigate complex, fragile environments
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Researchers have developed a soft robotic skin that enables vine robots that are just a few millimeters wide to navigate convoluted paths and fragile environments. To accomplish this, the researchers integrated a very thin layer of actuators made of liquid crystal elastomer at strategic locations in the soft skin. The robot is steered by controlling the pressure inside its body and temperature of the actuators.Researchers have developed a soft robotic skin that enables vine robots that are just a few millimeters wide to navigate convoluted paths and fragile environments. To accomplish this, the researchers integrated a very thin layer of actuators made of liquid crystal elastomer at strategic locations in the soft skin. The robot is steered by controlling the pressure inside its body and temperature of the actuators.[#item_full_content]

Two AI methods can improve wind speed predictions for wind farms
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Last year, wind energy accounted for 23.2% of all energy injected into the Spanish electricity system, according to data published by Red Eléctrica in its latest 2024 report. Although wind power leads national energy production, its dependence on weather conditions and its inherently intermittent nature present challenges. Therefore, fine-tuning wind speed prediction data for these infrastructures is a key task to optimize the management and performance of wind turbines.Last year, wind energy accounted for 23.2% of all energy injected into the Spanish electricity system, according to data published by Red Eléctrica in its latest 2024 report. Although wind power leads national energy production, its dependence on weather conditions and its inherently intermittent nature present challenges. Therefore, fine-tuning wind speed prediction data for these infrastructures is a key task to optimize the management and performance of wind turbines.Energy & Green Tech[#item_full_content]

How to use AI to guide your holiday plans—by a tourism expert
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If you ask an AI service like ChatGPT or Google Gemini to recommend a destination for your next summer holiday, it will happily provide you with a list of attractive destinations. But many of them will be very familiar.If you ask an AI service like ChatGPT or Google Gemini to recommend a destination for your next summer holiday, it will happily provide you with a list of attractive destinations. But many of them will be very familiar.Machine learning & AI[#item_full_content]

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