The internet can encounter a strange type of failure in which a router seems to function normally but silently drops some data packets. Network engineers refer to these issues as “black holes.” In these cases, data enters the network, yet some of it vanishes without the router informing the network or the sender. Often, these problems go unnoticed until users start experiencing connection issues or data loss.The internet can encounter a strange type of failure in which a router seems to function normally but silently drops some data packets. Network engineers refer to these issues as “black holes.” In these cases, data enters the network, yet some of it vanishes without the router informing the network or the sender. Often, these problems go unnoticed until users start experiencing connection issues or data loss.Internet[#item_full_content]

Initiatives to label books as written by humans, not artificial intelligence, are gaining ground following a string of scandals in which authors were suspected of using the technology without admitting it.Initiatives to label books as written by humans, not artificial intelligence, are gaining ground following a string of scandals in which authors were suspected of using the technology without admitting it.Machine learning & AI[#item_full_content]

An artificial intelligence model developed by Anthropic submitted a fabricated tip about an unsolved homicide to Philadelphia police, authorities said Friday, criticizing the company for taking two months to report the incident.An artificial intelligence model developed by Anthropic submitted a fabricated tip about an unsolved homicide to Philadelphia police, authorities said Friday, criticizing the company for taking two months to report the incident.Machine learning & AI[#item_full_content]

As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç University’s Department of Electrical and Electronics Engineering has developed two new systems that use light itself, rather than conventional electronic circuitry, to perform computations for artificial intelligence. Published in two articles, the studies introduce new approaches to computing that could contribute to the development of faster and more energy-efficient AI systems.As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç University’s Department of Electrical and Electronics Engineering has developed two new systems that use light itself, rather than conventional electronic circuitry, to perform computations for artificial intelligence. Published in two articles, the studies introduce new approaches to computing that could contribute to the development of faster and more energy-efficient AI systems.Hi Tech & Innovation[#item_full_content]

Watermarks are increasingly being used to make AI-generated images recognizable and to ensure their origin can be traced. Previous research has focused on whether watermarks can withstand image manipulation. CISPA researcher Michel Meintz from the SprintML Lab has investigated whether watermarks can withstand the training of a new generative model.Watermarks are increasingly being used to make AI-generated images recognizable and to ensure their origin can be traced. Previous research has focused on whether watermarks can withstand image manipulation. CISPA researcher Michel Meintz from the SprintML Lab has investigated whether watermarks can withstand the training of a new generative model.Security[#item_full_content]

Researchers at Nanyang Technological University, Singapore (NTU Singapore) have developed an artificial intelligence (AI) framework that automates the creation of complex decision-making software, cutting development time from months of specialized engineering to about an hour.Researchers at Nanyang Technological University, Singapore (NTU Singapore) have developed an artificial intelligence (AI) framework that automates the creation of complex decision-making software, cutting development time from months of specialized engineering to about an hour.Software[#item_full_content]

Companies seeking to fill job openings are increasingly “drinking through a fire hose of applications,” in the words of one hiring expert, with some popular postings receiving 1,000 applications in a single weekend.Companies seeking to fill job openings are increasingly “drinking through a fire hose of applications,” in the words of one hiring expert, with some popular postings receiving 1,000 applications in a single weekend.Business[#item_full_content]

When humans write sentences or solve math problems, they are thinking symbolically—each number, variable or word is expressed by a symbol. While AI chatbots do not “think” that way, if prompted, they can offer cogent advice about writing, math and many other topics as if a person were offering it.When humans write sentences or solve math problems, they are thinking symbolically—each number, variable or word is expressed by a symbol. While AI chatbots do not “think” that way, if prompted, they can offer cogent advice about writing, math and many other topics as if a person were offering it.Computer Sciences[#item_full_content]

Before large language models (LLMs) can process text, they split it into chunks such as words or word fragments. The LLM behind ChatGPT, for example, splits “LMU München” into the three chunks “LM,” “U” and “München,” so it never directly sees the individual letters in “München.” This step, which is known as subword tokenization, makes LLMs efficient but causes a range of problems, such as limited character-level understanding.Before large language models (LLMs) can process text, they split it into chunks such as words or word fragments. The LLM behind ChatGPT, for example, splits “LMU München” into the three chunks “LM,” “U” and “München,” so it never directly sees the individual letters in “München.” This step, which is known as subword tokenization, makes LLMs efficient but causes a range of problems, such as limited character-level understanding.Computer Sciences[#item_full_content]