Sam Altman’s shock return as chief executive of OpenAI late Tuesday—days after being sacked—caps a chaotic period that highlighted deep tensions at the heart of the Artificial Intelligence community.Sam Altman’s shock return as chief executive of OpenAI late Tuesday—days after being sacked—caps a chaotic period that highlighted deep tensions at the heart of the Artificial Intelligence community.Business[#item_full_content]

The unofficial motto of Silicon Valley has long been “move fast and break things”. It relies on the assumption that in order to create cutting edge technology and to be ahead of the competition, companies need to accept that things will get damaged in the process.The unofficial motto of Silicon Valley has long been “move fast and break things”. It relies on the assumption that in order to create cutting edge technology and to be ahead of the competition, companies need to accept that things will get damaged in the process.Business[#item_full_content]

The turmoil at ChatGPT-maker OpenAI, sparked by the board of directors firing high-profile CEO Sam Altman on Nov. 17, 2023, has put a spotlight on artificial intelligence safety and concerns about the rapid development of artificial general intelligence, or AGI. AGI is loosely defined as human-level intelligence across a range of tasks.The turmoil at ChatGPT-maker OpenAI, sparked by the board of directors firing high-profile CEO Sam Altman on Nov. 17, 2023, has put a spotlight on artificial intelligence safety and concerns about the rapid development of artificial general intelligence, or AGI. AGI is loosely defined as human-level intelligence across a range of tasks.Consumer & Gadgets[#item_full_content]

It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?Robotics[#item_full_content]

It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?It isn’t easy for a robot to find its way out of a maze. Picture these machines trying to traverse a kid’s playroom to reach the kitchen, with miscellaneous toys scattered across the floor and furniture blocking some potential paths. This messy labyrinth requires the robot to calculate the most optimal journey to its destination, without crashing into any obstacles. What is the bot to do?[#item_full_content]

Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive amounts of data, such as numbers, texts, images and so on. After training with the data, ML algorithms build a logical model to identify patterns through the least possible human intervention. With the help of sample training data, programmers test the model’s validity before introducing a new dataset. The more training data, the better the prediction.Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive amounts of data, such as numbers, texts, images and so on. After training with the data, ML algorithms build a logical model to identify patterns through the least possible human intervention. With the help of sample training data, programmers test the model’s validity before introducing a new dataset. The more training data, the better the prediction.Electronics & Semiconductors[#item_full_content]

Researchers have recently discovered a new way of making consumer items. They’ve developed a machine, based on AI technology, that can customize personal care products to your own requirements.Researchers have recently discovered a new way of making consumer items. They’ve developed a machine, based on AI technology, that can customize personal care products to your own requirements.Business[#item_full_content]

Can artificial intelligence tools help predict stock price movement and volatility? Two South Dakota State University researchers believe so. Kaiqun Fu, assistant professor in SDSU’s Department of Electrical Engineering and Computer Science, and Yangxiao Bai, a graduate research assistant, have developed an AI-powered model that anticipates stock price movement and stock market volatility trends.Can artificial intelligence tools help predict stock price movement and volatility? Two South Dakota State University researchers believe so. Kaiqun Fu, assistant professor in SDSU’s Department of Electrical Engineering and Computer Science, and Yangxiao Bai, a graduate research assistant, have developed an AI-powered model that anticipates stock price movement and stock market volatility trends.Business[#item_full_content]

Researchers at the Resilient Infrastructure and Disaster Response Center (RIDER) are using artificial intelligence and aerial imaging to make Florida’s school zones safer.Researchers at the Resilient Infrastructure and Disaster Response Center (RIDER) are using artificial intelligence and aerial imaging to make Florida’s school zones safer.Automotive[#item_full_content]

Professor Stefan Feuerriegel is Head of the Institute of Artificial Intelligence (AI) in Management at LMU, and his research focuses on the challenges of the digitalization wave.Professor Stefan Feuerriegel is Head of the Institute of Artificial Intelligence (AI) in Management at LMU, and his research focuses on the challenges of the digitalization wave.Machine learning & AI[#item_full_content]

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