CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal significant cultural blind spots in today’s AI systems. The study also introduces a new participatory research approach to create more inclusive datasets and evaluate biases in AI models.CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal significant cultural blind spots in today’s AI systems. The study also introduces a new participatory research approach to create more inclusive datasets and evaluate biases in AI models.Consumer & Gadgets[#item_full_content]

Nina Beguš remembers being at an event 10 years ago where a group of engineers showcased new robots that could recognize human emotions and offer basic compliments. It was years before AI chatbots would become fixtures of daily online life. But Beguš, who was beginning her Ph.D. in comparative literature, could already envision what was coming.Nina Beguš remembers being at an event 10 years ago where a group of engineers showcased new robots that could recognize human emotions and offer basic compliments. It was years before AI chatbots would become fixtures of daily online life. But Beguš, who was beginning her Ph.D. in comparative literature, could already envision what was coming.Machine learning & AI[#item_full_content]

A paper co-authored by Prof. Alex Lew has been selected as one of four “Outstanding Papers” at this year’s Conference on Language Modeling (COLM 2025), held in Montreal in October.A paper co-authored by Prof. Alex Lew has been selected as one of four “Outstanding Papers” at this year’s Conference on Language Modeling (COLM 2025), held in Montreal in October.Computer Sciences[#item_full_content]

In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how insights into learning processes in animal brains can be used to make artificial intelligence (AI) systems more flexible and efficient. The project is titled NAILIt—Neuro-inspired AI for Learning and Inference in non-stationary environments.In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how insights into learning processes in animal brains can be used to make artificial intelligence (AI) systems more flexible and efficient. The project is titled NAILIt—Neuro-inspired AI for Learning and Inference in non-stationary environments.Hi Tech & Innovation[#item_full_content]

In April, OpenAI’s popular ChatGPT hit a milestone of a billion active weekly users, as artificial intelligence continued its explosion in popularity.In April, OpenAI’s popular ChatGPT hit a milestone of a billion active weekly users, as artificial intelligence continued its explosion in popularity.Computer Sciences[#item_full_content]

Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.Computer Sciences[#item_full_content]

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding light on how the brain works, this development could help inspire new AI systems that learn in a brain-like way. The research is published in Nature Communications.A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding light on how the brain works, this development could help inspire new AI systems that learn in a brain-like way. The research is published in Nature Communications.Machine learning & AI[#item_full_content]

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