An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.Electronics & Semiconductors[#item_full_content]
There’s a delicate art to teaching robots, even when you’re preparing them for predictable environments like factories, where they’ll repeat the same tasks a little differently depending on the obstacles they face. Whether a human is suddenly in their way or there’s new clutter, the machine must closely mimic its operator’s actions by staying on a trajectory (or motion path).There’s a delicate art to teaching robots, even when you’re preparing them for predictable environments like factories, where they’ll repeat the same tasks a little differently depending on the obstacles they face. Whether a human is suddenly in their way or there’s new clutter, the machine must closely mimic its operator’s actions by staying on a trajectory (or motion path).Robotics[#item_full_content]
There’s a delicate art to teaching robots, even when you’re preparing them for predictable environments like factories, where they’ll repeat the same tasks a little differently depending on the obstacles they face. Whether a human is suddenly in their way or there’s new clutter, the machine must closely mimic its operator’s actions by staying on a trajectory (or motion path).There’s a delicate art to teaching robots, even when you’re preparing them for predictable environments like factories, where they’ll repeat the same tasks a little differently depending on the obstacles they face. Whether a human is suddenly in their way or there’s new clutter, the machine must closely mimic its operator’s actions by staying on a trajectory (or motion path).[#item_full_content]
In a bustling restaurant kitchen, efficiency requires more than just machines that wash dishes or chop vegetables. It requires a conductor to ensure the appetizer, main course, and dessert are prepared in the right sequence, that the right chef gets the right order, and that the correct dish reaches the right table on time.In a bustling restaurant kitchen, efficiency requires more than just machines that wash dishes or chop vegetables. It requires a conductor to ensure the appetizer, main course, and dessert are prepared in the right sequence, that the right chef gets the right order, and that the correct dish reaches the right table on time.[#item_full_content]
Travelers who use AI-powered chatbots on hotel booking platforms often feel uneasy. That discomfort can cause them to disengage or delay booking decisions, according to new research from the Texas A&M College of Agriculture and Life Sciences.Travelers who use AI-powered chatbots on hotel booking platforms often feel uneasy. That discomfort can cause them to disengage or delay booking decisions, according to new research from the Texas A&M College of Agriculture and Life Sciences.Consumer & Gadgets[#item_full_content]
Photonic devices are hardware systems that can process information using light instead of electricity. These systems could potentially perform computations faster than electronic devices, while also consuming less energy.Photonic devices are hardware systems that can process information using light instead of electricity. These systems could potentially perform computations faster than electronic devices, while also consuming less energy.Hardware[#item_full_content]
The trial pitting Elon Musk against OpenAI CEO Sam Altman made clear the two billionaires agreed on one thing: building artificial intelligence would require significant resources—and enormous amounts of money.The trial pitting Elon Musk against OpenAI CEO Sam Altman made clear the two billionaires agreed on one thing: building artificial intelligence would require significant resources—and enormous amounts of money.Machine learning & AI[#item_full_content]
A prize-winning Caribbean writer from Trinidad and Tobago is embroiled in the latest controversy involving the use of AI for a creative work, after allegations that artificial intelligence was used to write a short story.A prize-winning Caribbean writer from Trinidad and Tobago is embroiled in the latest controversy involving the use of AI for a creative work, after allegations that artificial intelligence was used to write a short story.Machine learning & AI[#item_full_content]
Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.[#item_full_content]
Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.Computer Sciences[#item_full_content]
