Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.Robotics[#item_full_content]

From parcel delivery routes and factory production schedules to hospital duty rosters, many real-world planning tasks require solutions that satisfy numerous operational constraints. KAIST researchers led by Professor Min-Soo Kim from the School of Computing have developed RL-SPH (Reinforcement Learning-based Start Primal Heuristic), a reinforcement learning technique that trains AI to independently produce feasible plans without relying on an external solver.From parcel delivery routes and factory production schedules to hospital duty rosters, many real-world planning tasks require solutions that satisfy numerous operational constraints. KAIST researchers led by Professor Min-Soo Kim from the School of Computing have developed RL-SPH (Reinforcement Learning-based Start Primal Heuristic), a reinforcement learning technique that trains AI to independently produce feasible plans without relying on an external solver.Hi Tech & Innovation[#item_full_content]

Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.Hi Tech & Innovation[#item_full_content]

From doctors diagnosing symptoms to judges intervening in court cases, humans make complex decisions every day. Increasingly, artificial intelligence tools are being used to help with those decisions.From doctors diagnosing symptoms to judges intervening in court cases, humans make complex decisions every day. Increasingly, artificial intelligence tools are being used to help with those decisions.Consumer & Gadgets[#item_full_content]

A new artificial intelligence tool developed by researchers at the FAMU-FSU College of Engineering and Florida State University’s Center for Advanced Power Systems could help make electric grids more reliable and reduce operating costs. The system improves forecasts of electricity demand and renewable energy generation, giving grid operators better information to balance supply and demand.A new artificial intelligence tool developed by researchers at the FAMU-FSU College of Engineering and Florida State University’s Center for Advanced Power Systems could help make electric grids more reliable and reduce operating costs. The system improves forecasts of electricity demand and renewable energy generation, giving grid operators better information to balance supply and demand.Energy & Green Tech[#item_full_content]

Videoconferencing facilitates communication between different locations while still allowing people to look each other in the eye. However, increasingly, we have to question whether the other person’s eyes are real. This is because deepfake technologies are now capable of falsifying voices and images in real time more realistically than ever.Videoconferencing facilitates communication between different locations while still allowing people to look each other in the eye. However, increasingly, we have to question whether the other person’s eyes are real. This is because deepfake technologies are now capable of falsifying voices and images in real time more realistically than ever.Security[#item_full_content]

Bridges are an important part of road systems. Monitoring them is essential for ensuring structural safety, as bridges develop cracks, concrete spalling and water leakage over time due to traffic loads, weather and environmental exposure.Bridges are an important part of road systems. Monitoring them is essential for ensuring structural safety, as bridges develop cracks, concrete spalling and water leakage over time due to traffic loads, weather and environmental exposure.Hi Tech & Innovation[#item_full_content]

Remote mountains or deserts far from cities are notorious for being off the cellular grid. But in the near future, cellphones could work in those places. In addition, cars could get you out of traffic jams faster by connecting to sensors placed around the city that alert drivers to trouble on the road. That could be thanks, in part, to a new way of thinking about and writing code using an agentic artificial intelligence framework developed at Northeastern University.Remote mountains or deserts far from cities are notorious for being off the cellular grid. But in the near future, cellphones could work in those places. In addition, cars could get you out of traffic jams faster by connecting to sensors placed around the city that alert drivers to trouble on the road. That could be thanks, in part, to a new way of thinking about and writing code using an agentic artificial intelligence framework developed at Northeastern University.Machine learning & AI[#item_full_content]

Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that are not actually present simply because a certain object appears in a video. These errors are known as hallucinations.Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text, images and audio, at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects or claim to hear sounds that are not actually present simply because a certain object appears in a video. These errors are known as hallucinations.Hi Tech & Innovation[#item_full_content]

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