In 2009, an Air France jet crashed into the ocean, leaving no survivors. The plane’s autopilot system shut down and the pilots, having become reliant on their computerized assistant, were unable to correct the situation manually.In 2009, an Air France jet crashed into the ocean, leaving no survivors. The plane’s autopilot system shut down and the pilots, having become reliant on their computerized assistant, were unable to correct the situation manually.[#item_full_content]
In 2009, an Air France jet crashed into the ocean, leaving no survivors. The plane’s autopilot system shut down and the pilots, having become reliant on their computerized assistant, were unable to correct the situation manually.In 2009, an Air France jet crashed into the ocean, leaving no survivors. The plane’s autopilot system shut down and the pilots, having become reliant on their computerized assistant, were unable to correct the situation manually.Computer Sciences[#item_full_content]
Earlier this month, a Hong Kong company lost HK$200 million (A$40 million) in a deepfake scam. An employee transferred funds following a video conference call with scammers who looked and sounded like senior company officials.Earlier this month, a Hong Kong company lost HK$200 million (A$40 million) in a deepfake scam. An employee transferred funds following a video conference call with scammers who looked and sounded like senior company officials.Security[#item_full_content]
Tyler Perry has put the kibosh on a planned $800 million expansion at his 330-acre studio in Atlanta over fears that rapid advances in video-related artificial intelligence could reduce demand for traditional film-making.Tyler Perry has put the kibosh on a planned $800 million expansion at his 330-acre studio in Atlanta over fears that rapid advances in video-related artificial intelligence could reduce demand for traditional film-making.Machine learning & AI[#item_full_content]
The rapid advancement of deep learning algorithms and generative models has enabled the automated production of increasingly striking AI-generated artistic content. Most of this AI-generated art, however, is created by algorithms and computational models, rather than by physical robots.The rapid advancement of deep learning algorithms and generative models has enabled the automated production of increasingly striking AI-generated artistic content. Most of this AI-generated art, however, is created by algorithms and computational models, rather than by physical robots.Robotics[#item_full_content]
The rapid advancement of deep learning algorithms and generative models has enabled the automated production of increasingly striking AI-generated artistic content. Most of this AI-generated art, however, is created by algorithms and computational models, rather than by physical robots.The rapid advancement of deep learning algorithms and generative models has enabled the automated production of increasingly striking AI-generated artistic content. Most of this AI-generated art, however, is created by algorithms and computational models, rather than by physical robots.[#item_full_content]
Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs).Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs).Machine learning & AI[#item_full_content]
AI holds the potential to revolutionize health care, but it also brings with it a significant challenge: bias. For instance, a dermatologist might use an AI-driven system to help identify suspicious moles. But what if the machine learning model was trained primarily on image data from lighter skin tones, and misses a common form of skin cancer on a darker-skinned patient?AI holds the potential to revolutionize health care, but it also brings with it a significant challenge: bias. For instance, a dermatologist might use an AI-driven system to help identify suspicious moles. But what if the machine learning model was trained primarily on image data from lighter skin tones, and misses a common form of skin cancer on a darker-skinned patient?Machine learning & AI[#item_full_content]
Soft robots inspired by animals can help to tackle real-world problems in efficient and innovative ways. Roboticists have been working to continuously broaden and improve these robots’ capabilities, as this could open new avenues for the automation of tasks in various settings.Soft robots inspired by animals can help to tackle real-world problems in efficient and innovative ways. Roboticists have been working to continuously broaden and improve these robots’ capabilities, as this could open new avenues for the automation of tasks in various settings.[#item_full_content]
Every minute of every day, grid operators monitor the ebb and flow of electricity from generators to substations to homes, businesses, schools, hospitals and more. They make sure that the supply of electricity matches the current demand and often must make snap decisions if there’s a disruption, such as a storm or equipment failure.Every minute of every day, grid operators monitor the ebb and flow of electricity from generators to substations to homes, businesses, schools, hospitals and more. They make sure that the supply of electricity matches the current demand and often must make snap decisions if there’s a disruption, such as a storm or equipment failure.Energy & Green Tech[#item_full_content]