Humanoid robots, robotic systems with limbs and body structures that resemble those of humans, could tackle various manual tasks in homes, workspaces and other settings. Yet teaching these robots to reliably perform different humanlike movements is typically challenging and time-consuming.Humanoid robots, robotic systems with limbs and body structures that resemble those of humans, could tackle various manual tasks in homes, workspaces and other settings. Yet teaching these robots to reliably perform different humanlike movements is typically challenging and time-consuming.Robotics[#item_full_content]
An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both U.S. companies of “playing with our lives” in the race to develop AI models capable of self-improvement.An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both U.S. companies of “playing with our lives” in the race to develop AI models capable of self-improvement.Machine learning & AI[#item_full_content]
Quantum error correction must detect and correct errors without directly reading the quantum information. Classical low-density parity check (LDPC) codes have a well-established design theory: by choosing how many checks connect to each bit, retaining appropriate randomness, and avoiding short loops, designers can pursue both a large minimum distance and a threshold phenomenon in which the decoding failure rate drops sharply below a predicted noise level.Quantum error correction must detect and correct errors without directly reading the quantum information. Classical low-density parity check (LDPC) codes have a well-established design theory: by choosing how many checks connect to each bit, retaining appropriate randomness, and avoiding short loops, designers can pursue both a large minimum distance and a threshold phenomenon in which the decoding failure rate drops sharply below a predicted noise level.[#item_full_content]
Google said Wednesday that it would invest at least 13 billion euros ($15 billion) in digital infrastructure, including data centers to power artificial intelligence models, in Finland over the next two years.Google said Wednesday that it would invest at least 13 billion euros ($15 billion) in digital infrastructure, including data centers to power artificial intelligence models, in Finland over the next two years.Business[#item_full_content]
Meta launched on Tuesday a personal artificial intelligence agent, Muse, for people 18 and over who are looking for help with day-to-day tasks like schedules, shopping and, in the company’s words, turning “long-term goals into action plans.”Meta launched on Tuesday a personal artificial intelligence agent, Muse, for people 18 and over who are looking for help with day-to-day tasks like schedules, shopping and, in the company’s words, turning “long-term goals into action plans.”Internet[#item_full_content]
A digital scheduling framework combining machine learning, optimization and blockchain technology could reduce carbon emissions at a lower cost in regional energy systems, according to research in the International Journal of Environment and Pollution. The system cut the marginal emission-reduction cost—the additional expense of removing one more ton of carbon—by about 12% when the carbon quota was restricted to half the system’s baseline emissions.A digital scheduling framework combining machine learning, optimization and blockchain technology could reduce carbon emissions at a lower cost in regional energy systems, according to research in the International Journal of Environment and Pollution. The system cut the marginal emission-reduction cost—the additional expense of removing one more ton of carbon—by about 12% when the carbon quota was restricted to half the system’s baseline emissions.Energy & Green Tech[#item_full_content]
In project CONVOLVE, researchers successfully used new chip-design techniques to develop powerful AI computing chips close to where data is generated and used, often referred to as edge computing.In project CONVOLVE, researchers successfully used new chip-design techniques to develop powerful AI computing chips close to where data is generated and used, often referred to as edge computing.Machine learning & AI[#item_full_content]
Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing limit on the capacity of “associative memory,” the brain-like ability to recall complete information from a partial cue, while keeping it reliable even when a large fraction of the hardware fails.Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made a breakthrough in brain-inspired computing. In collaboration with Hewlett Packard Labs, the team has developed a memristor chip that overcomes a long-standing limit on the capacity of “associative memory,” the brain-like ability to recall complete information from a partial cue, while keeping it reliable even when a large fraction of the hardware fails.Hardware[#item_full_content]
A research team led by principal researcher Sang-Chul Lee of the Division of Nanotechnology at DGIST has developed AI technology that automatically identifies and compensates for user groups whose recommendation performance deteriorates significantly after user data is deleted.A research team led by principal researcher Sang-Chul Lee of the Division of Nanotechnology at DGIST has developed AI technology that automatically identifies and compensates for user groups whose recommendation performance deteriorates significantly after user data is deleted.Machine learning & AI[#item_full_content]
A research group comprising Associate Professor Yoshihiro Nakata and Taisei Mogi from the Graduate School of Informatics and Engineering at The University of Electro-Communications (UEC), Japan, and Mari Saito of Sony Corporation has developed MOFU (MOrphing Fluffy Unit), a mobile robot capable of whole-body expansion and contraction. The group investigated how whole-body expansion-contraction affects perceived animacy, or the extent to which the robot is perceived as lifelike. In addition to expansion-contraction and locomotion, MOFU was designed with features including quiet operation and a soft, fluffy exterior. The study was published in PLOS ONE.A research group comprising Associate Professor Yoshihiro Nakata and Taisei Mogi from the Graduate School of Informatics and Engineering at The University of Electro-Communications (UEC), Japan, and Mari Saito of Sony Corporation has developed MOFU (MOrphing Fluffy Unit), a mobile robot capable of whole-body expansion and contraction. The group investigated how whole-body expansion-contraction affects perceived animacy, or the extent to which the robot is perceived as lifelike. In addition to expansion-contraction and locomotion, MOFU was designed with features including quiet operation and a soft, fluffy exterior. The study was published in PLOS ONE.[#item_full_content]
