One of the many problems faced by a wide range of photographers in wildlife, sports, celebrity and theatrical photography, and even industrial testing and medical photography is the issue of motion blur. This occurs when the subject is moving and the camera’s shutter speed is too slow to “freeze” the action. There are approaches that anyone processing photographs can take to reduce the distortion known as motion blur and there is some software that can reduce the effect considerably. However, there is always room for improvement.One of the many problems faced by a wide range of photographers in wildlife, sports, celebrity and theatrical photography, and even industrial testing and medical photography is the issue of motion blur. This occurs when the subject is moving and the camera’s shutter speed is too slow to “freeze” the action. There are approaches that anyone processing photographs can take to reduce the distortion known as motion blur and there is some software that can reduce the effect considerably. However, there is always room for improvement.[#item_full_content]
What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.[#item_full_content]
What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts, all with their own biases, expertise, opinions and backgrounds. The pool of interview candidates is plentiful yet overwhelming to navigate.Computer Sciences[#item_full_content]
A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.[#item_full_content]
A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.Computer Sciences[#item_full_content]
ChatGPT-maker OpenAI published Monday its newest guidelines for gauging “catastrophic risks” from artificial intelligence in models currently being developed.ChatGPT-maker OpenAI published Monday its newest guidelines for gauging “catastrophic risks” from artificial intelligence in models currently being developed.Machine learning & AI[#item_full_content]
A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.Robotics[#item_full_content]
A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.A team of researchers at the University of Tokyo has built a bridge between large language models and robots that promises more humanlike gestures while dispensing with traditional hardware-dependent controls.[#item_full_content]
Artificial intelligence (AI) has huge potential to advance the field of health and medicine, but the nation must be prepared to responsibly harness the power of AI and maximize its benefits, according to an editorial by Victor J. Dzau and colleagues.Artificial intelligence (AI) has huge potential to advance the field of health and medicine, but the nation must be prepared to responsibly harness the power of AI and maximize its benefits, according to an editorial by Victor J. Dzau and colleagues.Machine learning & AI[#item_full_content]
A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.Robotics[#item_full_content]
