Now showing items 85-87 of 23203

    • Biophysical specializations supporting efficiency in neural networks 

      Toloza, Enrique H.S. (Massachusetts Institute of Technology, 2025-05)
      Neuroscience and artificial intelligence (AI) research have long enjoyed a synergistic relationship. AI has drawn key inspiration from the organization and function of the brain, while our understanding of the biological ...
    • On the Learnability of General Reinforcement-Learning Objectives 

      Yang, Cambridge (Massachusetts Institute of Technology, 2025-05)
      Reinforcement learning enables agents to learn decision-making policies in unknown environments to achieve specified objectives. Traditionally, these objectives are expressed through reward functions, enabling well-established ...
    • Solid-State Quantum Memories for Near-Term Quantum Repeaters 

      Sutula, Madison M. (Massachusetts Institute of Technology, 2025-05)
      Over the past decade, quantum computers have emerged as a promising technology to enable transformational advances in information processing and communication and solve problems that are intractable to classical computers. ...