Energy generation, storage, and grids.
Researchers developed new memory storage that could revolutionize AI capabilities, allowing more efficient and faster long-term learning for intelligent systems.
Researchers have developed TokaMind, a machine learning model that can better simulate the complex dynamics of nuclear fusion reactors, which could help improve the efficiency of future fusion power plants.
Researchers used machine learning to help power grid operators quickly find ways to reduce power outages when the grid needs to change rapidly, potentially saving people from disruptive blackouts.
Researchers developed a new neural network model that can quickly predict how neutrons move in nuclear reactors, potentially improving safety and efficiency.
High-performance computing systems are using a lot of energy, which raises concerns about the environmental impact as climate change becomes a major issue. This means the design and operation of these powerful computer systems needs to focus on reducing their energy consumption.
Researchers developed new memory storage that could revolutionize AI capabilities, allowing more efficient and faster long-term learning for intelligent systems.
Researchers have developed TokaMind, a machine learning model that can better simulate the complex dynamics of nuclear fusion reactors, which could help improve the efficiency of future fusion power plants.
Researchers used machine learning to help power grid operators quickly find ways to reduce power outages when the grid needs to change rapidly, potentially saving people from disruptive blackouts.
Researchers developed a new neural network model that can quickly predict how neutrons move in nuclear reactors, potentially improving safety and efficiency.
High-performance computing systems are using a lot of energy, which raises concerns about the environmental impact as climate change becomes a major issue. This means the design and operation of these powerful computer systems needs to focus on reducing their energy consumption.