While West Virginia University researchers see potential in educational settings for the newest official ChatGPT plugin, called Code Interpreter, they’ve found limitations for its use by scientists who work with biological data utilizing computational methods to prioritize targeted treatment for cancer and genetic disorders.While West Virginia University researchers see potential in educational settings for the newest official ChatGPT plugin, called Code Interpreter, they’ve found limitations for its use by scientists who work with biological data utilizing computational methods to prioritize targeted treatment for cancer and genetic disorders.[#item_full_content]

While West Virginia University researchers see potential in educational settings for the newest official ChatGPT plugin, called Code Interpreter, they’ve found limitations for its use by scientists who work with biological data utilizing computational methods to prioritize targeted treatment for cancer and genetic disorders.While West Virginia University researchers see potential in educational settings for the newest official ChatGPT plugin, called Code Interpreter, they’ve found limitations for its use by scientists who work with biological data utilizing computational methods to prioritize targeted treatment for cancer and genetic disorders.Computer Sciences[#item_full_content]

Of all the forms of human intellect that one might expect artificial intelligence to emulate, few people would likely place creativity at the top of their list. Creativity is wonderfully mysterious—and frustratingly fleeting. It defines us as human beings—and seemingly defies the cold logic that lies behind the silicon curtain of machines.Of all the forms of human intellect that one might expect artificial intelligence to emulate, few people would likely place creativity at the top of their list. Creativity is wonderfully mysterious—and frustratingly fleeting. It defines us as human beings—and seemingly defies the cold logic that lies behind the silicon curtain of machines.Machine learning & AI[#item_full_content]

Identifying minerals is a complex and time-consuming problem for geologists, often taking anywhere from 30 minutes to several days per sample. Further complicating the situation is the fact that a sufficient portion of minerals remain inadequately researched, leaving us with just a few hundred comprehensively characterized out of the 6,000 currently identified minerals.Identifying minerals is a complex and time-consuming problem for geologists, often taking anywhere from 30 minutes to several days per sample. Further complicating the situation is the fact that a sufficient portion of minerals remain inadequately researched, leaving us with just a few hundred comprehensively characterized out of the 6,000 currently identified minerals.Machine learning & AI[#item_full_content]

Breakneck development of artificial intelligence risked repeating mistakes made by the tech industry at the start of the social media era, Microsoft president Brad Smith told a business forum on Friday.Breakneck development of artificial intelligence risked repeating mistakes made by the tech industry at the start of the social media era, Microsoft president Brad Smith told a business forum on Friday.Machine learning & AI[#item_full_content]

People with vivid imaginations are more likely than others to believe they truly inhabit the worlds they visit in virtual reality (VR) according to new research led by the University of Bath.People with vivid imaginations are more likely than others to believe they truly inhabit the worlds they visit in virtual reality (VR) according to new research led by the University of Bath.[#item_full_content]

For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays the groundwork for large-scale ONNs, which can perform high-speed processing at the speed of light in an extremely energy efficient manner.For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays the groundwork for large-scale ONNs, which can perform high-speed processing at the speed of light in an extremely energy efficient manner.Hi Tech & Innovation[#item_full_content]

Scientific exploration of the deep ocean has largely remained inaccessible to most people because of barriers to access due to infrastructure, training, and physical ability requirements for at-sea oceanographic research.Scientific exploration of the deep ocean has largely remained inaccessible to most people because of barriers to access due to infrastructure, training, and physical ability requirements for at-sea oceanographic research.[#item_full_content]

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