A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence, along with Ph.D. candidates Taesung Lee and Jaehyun Ha, has developed TurboLynx, an engine capable of analyzing complex, highly interconnected data up to 184 times faster than existing systems.A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence, along with Ph.D. candidates Taesung Lee and Jaehyun Ha, has developed TurboLynx, an engine capable of analyzing complex, highly interconnected data up to 184 times faster than existing systems.Machine learning & AI[#item_full_content]
KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.Robotics[#item_full_content]
How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.[#item_full_content]
Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.[#item_full_content]
Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Computer Sciences[#item_full_content]
Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.[#item_full_content]
Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.Computer Sciences[#item_full_content]
Can we make artificial intelligence impervious to adversaries who want to twist the technology to nefarious ends? Though AI is among the newest of technologies, the answer to that question is nearly a century old.Can we make artificial intelligence impervious to adversaries who want to twist the technology to nefarious ends? Though AI is among the newest of technologies, the answer to that question is nearly a century old.Security[#item_full_content]
Even though retired lithium-ion batteries often retain up to 80% of their capacity, significant economic value and climate benefits are currently being lost. A new article in Nature Reviews Clean Technology, involving researchers from Chalmers University of Technology, shows that the lack of reliable battery data is the main barrier to efficient battery reuse and recycling.Even though retired lithium-ion batteries often retain up to 80% of their capacity, significant economic value and climate benefits are currently being lost. A new article in Nature Reviews Clean Technology, involving researchers from Chalmers University of Technology, shows that the lack of reliable battery data is the main barrier to efficient battery reuse and recycling.Energy & Green Tech[#item_full_content]
It’s no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, Claude and Gemini are increasingly being used for verifying and consuming news. Reports from the Pew Research Center over the last year found that 1 in 5 U.S. teens regularly use LLMs to get their news, while 1 in 4 young adults have reported using them for that purpose at least once.It’s no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language models (LLMs) like ChatGPT, Claude and Gemini are increasingly being used for verifying and consuming news. Reports from the Pew Research Center over the last year found that 1 in 5 U.S. teens regularly use LLMs to get their news, while 1 in 4 young adults have reported using them for that purpose at least once.Consumer & Gadgets[#item_full_content]
