Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling shifts in internal emotions rather than only interpreting external emotional signals.Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling shifts in internal emotions rather than only interpreting external emotional signals.Machine learning & AI[#item_full_content]

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, and annotating data, manually constructing the fundamental architecture of deep neural networks, and determining the algorithm types and their hyperparameters of the optimization algorithms, etc. These limitations hamper the ability of ML to effectively deal with complex data and varying multi-tasks environments in the real world.As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, and annotating data, manually constructing the fundamental architecture of deep neural networks, and determining the algorithm types and their hyperparameters of the optimization algorithms, etc. These limitations hamper the ability of ML to effectively deal with complex data and varying multi-tasks environments in the real world.Machine learning & AI[#item_full_content]

Leading generative AI developers OpenAI and Anthropic have agreed to give the US government access to their new models for safety testing as part of agreements announced on Thursday.Leading generative AI developers OpenAI and Anthropic have agreed to give the US government access to their new models for safety testing as part of agreements announced on Thursday.Machine learning & AI[#item_full_content]

Motor impairments currently affect about 5 million people in the United States. Physically assistive robots not only have the potential to help these individuals with daily tasks, they can significantly increase independence, well-being and quality of life.Motor impairments currently affect about 5 million people in the United States. Physically assistive robots not only have the potential to help these individuals with daily tasks, they can significantly increase independence, well-being and quality of life.Robotics[#item_full_content]