Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.Robotics[#item_full_content]
Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.[#item_full_content]
In recent years, pneumatic artificial muscles (PAMs) have emerged as promising actuators for simulating human-like movements, with prominent applications in various industries including robotics, rehabilitation, and prosthetics. PAMs are usually composed of rubber and covered with braided yarn and can mimic the mechanics of human muscles. They can stiffen and contract on being supplied with pressurized air and soften and lengthen upon releasing the air. However, PAM is a nonlinear system and experiences huge latency, making it important to have control systems that can regulate their performance.In recent years, pneumatic artificial muscles (PAMs) have emerged as promising actuators for simulating human-like movements, with prominent applications in various industries including robotics, rehabilitation, and prosthetics. PAMs are usually composed of rubber and covered with braided yarn and can mimic the mechanics of human muscles. They can stiffen and contract on being supplied with pressurized air and soften and lengthen upon releasing the air. However, PAM is a nonlinear system and experiences huge latency, making it important to have control systems that can regulate their performance.[#item_full_content]
Artificial Intelligence is more likely to augment jobs than to destroy them, a UN study indicated on Monday, at a time of growing anxiety over the potential impact of the technology.Artificial Intelligence is more likely to augment jobs than to destroy them, a UN study indicated on Monday, at a time of growing anxiety over the potential impact of the technology.Machine learning & AI[#item_full_content]
The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.[#item_full_content]
The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.Computer Sciences[#item_full_content]
Lithium ion batteries are the go-to power source for many of our favorite devices like cell phones and laptops, and their presence will continue to expand as electric vehicles become the new standard, replacing gasoline-powered cars.Lithium ion batteries are the go-to power source for many of our favorite devices like cell phones and laptops, and their presence will continue to expand as electric vehicles become the new standard, replacing gasoline-powered cars.Energy & Green Tech[#item_full_content]
How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.[#item_full_content]
How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.Computer Sciences[#item_full_content]
Georgia Tech Ph.D. student Niranjan Kumar has created the Cascaded Compositional Residual Learning (CCRL) framework, enabling a quadrupedal robot to perform increasingly complex tasks without relearning motions, mirroring human learning. Kumar showcased by the robot opening a heavy door using energy transfer, a remarkable achievement in robotics.Georgia Tech Ph.D. student Niranjan Kumar has created the Cascaded Compositional Residual Learning (CCRL) framework, enabling a quadrupedal robot to perform increasingly complex tasks without relearning motions, mirroring human learning. Kumar showcased by the robot opening a heavy door using energy transfer, a remarkable achievement in robotics.[#item_full_content]
