Time is of the essence as a deluge of updates spreads across the internet and social media feeds. Members of the public are eager to find information they can trust.Time is of the essence as a deluge of updates spreads across the internet and social media feeds. Members of the public are eager to find information they can trust.Internet[#item_full_content]
The recent explosion of artificial intelligence tools such as ChatGPT and Copilot have supercharged the assistance available to programmers. However, AI assistants may strip out comments embedded in code to convey copyright and attribution guidelines, leaving human coders none the wiser yet still on the hook legally for intellectual property infringement.The recent explosion of artificial intelligence tools such as ChatGPT and Copilot have supercharged the assistance available to programmers. However, AI assistants may strip out comments embedded in code to convey copyright and attribution guidelines, leaving human coders none the wiser yet still on the hook legally for intellectual property infringement.[#item_full_content]
The recent explosion of artificial intelligence tools such as ChatGPT and Copilot have supercharged the assistance available to programmers. However, AI assistants may strip out comments embedded in code to convey copyright and attribution guidelines, leaving human coders none the wiser yet still on the hook legally for intellectual property infringement.The recent explosion of artificial intelligence tools such as ChatGPT and Copilot have supercharged the assistance available to programmers. However, AI assistants may strip out comments embedded in code to convey copyright and attribution guidelines, leaving human coders none the wiser yet still on the hook legally for intellectual property infringement.Computer Sciences[#item_full_content]
Large language models (LLMs) use deep-learning techniques to process and generate human-like text. The models train on vast amounts of data from books, articles, websites and other sources to generate responses, translate languages, summarize text, answer questions and perform a wide range of natural language processing tasks.Large language models (LLMs) use deep-learning techniques to process and generate human-like text. The models train on vast amounts of data from books, articles, websites and other sources to generate responses, translate languages, summarize text, answer questions and perform a wide range of natural language processing tasks.Security[#item_full_content]
The release of the advanced chatbot ChatGPT in 2022 got everyone talking about artificial intelligence (AI). Its sophisticated capabilities amplified concerns about AI becoming so advanced that soon we would not be able to control it. This even led some experts and industry leaders to warn that the technology could lead to human extinction.The release of the advanced chatbot ChatGPT in 2022 got everyone talking about artificial intelligence (AI). Its sophisticated capabilities amplified concerns about AI becoming so advanced that soon we would not be able to control it. This even led some experts and industry leaders to warn that the technology could lead to human extinction.Hi Tech & Innovation[#item_full_content]
As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large.As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large.Security[#item_full_content]
Algorithms underpin large and small decisions on a massive scale every day: who gets screened for diseases like diabetes, who receives a kidney transplant, how police resources are allocated, who sees ads for housing or employment, how recidivism rates are calculated, and so on. Under the right circumstances, algorithms—procedures used for solving a problem or performing a computation—can improve the efficiency and equity of human decision-making.Algorithms underpin large and small decisions on a massive scale every day: who gets screened for diseases like diabetes, who receives a kidney transplant, how police resources are allocated, who sees ads for housing or employment, how recidivism rates are calculated, and so on. Under the right circumstances, algorithms—procedures used for solving a problem or performing a computation—can improve the efficiency and equity of human decision-making.[#item_full_content]
People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.[#item_full_content]
People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.People solve new problems readily without any special training or practice by comparing them to familiar problems and extending the solution to the new problem. That process, known as analogical reasoning, has long been thought to be a uniquely human ability.Computer Sciences[#item_full_content]
Edge computing applications, which entail the processing and storage of data at the source of its production (i.e., near where it is created), is now being applied to a growing number of technologies. The application of edge computing translates into devices that can collect, store and process data, such as smart watches, computers that analyze utility grid data, computerized security technologies, and other systems.Edge computing applications, which entail the processing and storage of data at the source of its production (i.e., near where it is created), is now being applied to a growing number of technologies. The application of edge computing translates into devices that can collect, store and process data, such as smart watches, computers that analyze utility grid data, computerized security technologies, and other systems.Security[#item_full_content]
