In 1950, British computer scientist Alan Turing proposed an experimental method for answering the question: can machines think? He suggested if a human couldn’t tell whether they were speaking to an artificially intelligent (AI) machine or another human after five minutes of questioning, this would demonstrate AI has human-like intelligence.In 1950, British computer scientist Alan Turing proposed an experimental method for answering the question: can machines think? He suggested if a human couldn’t tell whether they were speaking to an artificially intelligent (AI) machine or another human after five minutes of questioning, this would demonstrate AI has human-like intelligence.Machine learning & AI[#item_full_content]

Anyone who has ever tried to pack a family-sized amount of luggage into a sedan-sized trunk knows this is a hard problem. Robots struggle with dense packing tasks, too.Anyone who has ever tried to pack a family-sized amount of luggage into a sedan-sized trunk knows this is a hard problem. Robots struggle with dense packing tasks, too.Robotics[#item_full_content]

Chinese search engine and artificial intelligence firm Baidu on Tuesday unveiled a new version of its artificial intelligence model, Ernie 4.0, claiming that it rivals models such as GPT-4 in the U.S.Chinese search engine and artificial intelligence firm Baidu on Tuesday unveiled a new version of its artificial intelligence model, Ernie 4.0, claiming that it rivals models such as GPT-4 in the U.S.Internet[#item_full_content]

As autonomous systems and artificial intelligence become increasingly common in daily life, new methods are emerging to help humans check that these systems are behaving as expected. One method, called formal specifications, uses mathematical formulas that can be translated into natural-language expressions. Some researchers claim that this method can be used to spell out decisions an AI will make in a way that is interpretable to humans.As autonomous systems and artificial intelligence become increasingly common in daily life, new methods are emerging to help humans check that these systems are behaving as expected. One method, called formal specifications, uses mathematical formulas that can be translated into natural-language expressions. Some researchers claim that this method can be used to spell out decisions an AI will make in a way that is interpretable to humans.Machine learning & AI[#item_full_content]

As of the end of 2022, the Chinese high-speed railway network had surpassed 40,000 kilometers. However, the rapid expansion of this railway system has presented significant challenges to its operational department. Unforeseen external and internal factors can lead to deviations from the scheduled arrival and departure times of trains.As of the end of 2022, the Chinese high-speed railway network had surpassed 40,000 kilometers. However, the rapid expansion of this railway system has presented significant challenges to its operational department. Unforeseen external and internal factors can lead to deviations from the scheduled arrival and departure times of trains.Automotive[#item_full_content]

An individual may bring their hands to their face when feeling sad or jump into the air when feeling happy. Human body movements convey emotions, which plays a crucial role in everyday communication, according to a team led by Penn State researchers. Combining computing, psychology and performing arts, the researchers developed an annotated human movement dataset that may improve the ability of artificial intelligence to recognize the emotions expressed through body language.An individual may bring their hands to their face when feeling sad or jump into the air when feeling happy. Human body movements convey emotions, which plays a crucial role in everyday communication, according to a team led by Penn State researchers. Combining computing, psychology and performing arts, the researchers developed an annotated human movement dataset that may improve the ability of artificial intelligence to recognize the emotions expressed through body language.Computer Sciences[#item_full_content]

A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.Computer Sciences[#item_full_content]

Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.Human sensory systems are very good at recognizing objects that we see or words that we hear, even if the object is upside down or the word is spoken by a voice we’ve never heard.Computer Sciences[#item_full_content]

Voice pathology refers to a problem arising from abnormal conditions, such as dysphonia, paralysis, cysts, and even cancer, that cause abnormal vibrations in the vocal cords (or vocal folds). In this context, voice pathology detection (VPD) has received much attention as a non-invasive way to automatically detect voice problems. It consists of two processing modules: a feature extraction module to characterize normal voices and a voice detection module to detect abnormal ones.Voice pathology refers to a problem arising from abnormal conditions, such as dysphonia, paralysis, cysts, and even cancer, that cause abnormal vibrations in the vocal cords (or vocal folds). In this context, voice pathology detection (VPD) has received much attention as a non-invasive way to automatically detect voice problems. It consists of two processing modules: a feature extraction module to characterize normal voices and a voice detection module to detect abnormal ones.Machine learning & AI[#item_full_content]

Information is a valuable commodity. And thanks to technology, there are millions of terabytes of it online.Information is a valuable commodity. And thanks to technology, there are millions of terabytes of it online.Consumer & Gadgets[#item_full_content]