Can AI Reason Like Humans?
Researchers make significant strides in developing AI systems that can reason and learn like humans, with potential applications in medicine, planning, and problem-solving.
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Animal cognition, bioart, and interspecies communication
Researchers make significant strides in developing AI systems that can reason and learn like humans, with potential applications in medicine, planning, and problem-solving.
Read latest briefing →Desk archive
Researchers propose new frameworks and methods to improve decision-making and reduce errors in AI models
The latest advancements in artificial intelligence (AI) and biomedicine have been marked by significant breakthroughs in various fields.
Researchers explore the intersection of machine learning and biology to tackle long-standing challenges
Five recent studies push boundaries in human movement, disease treatment, and AI applications
Researchers harness modularity, neural networks, and biomimicry to decode brain function and behavior
Advances in neural networks and brain mapping bring us closer to understanding intelligence
Researchers explore new methods for ensuring autonomous agents prioritize human safety
Recent discoveries and innovations raise questions about safety and governance
Advances in Neural Networks and Language Processing Unlocking the Secrets of the Brain and Language Neuroscientists and computer researchers are making significant strides in understanding the intricacies of the human brain and its relationship
Recent studies push boundaries in haplotype assembly, data product optimization, and Large Language Model reasoning
The scientific community has seen a flurry of innovative research across multiple disciplines.
Researchers explore the intersection of technology and human well-being, from chatbot risks to protein engineering
Scientists Use AI and Statistical Models to Understand Neural Dynamics
Studies reveal the importance of inhibitory cross-talk in attention-coupled latent memory and the need to address cognitive dark matter in AI systems
Recent studies uncover the intricate structures governing neural activity and synaptic efficiency
Recent research in neuroscience and artificial intelligence sheds light on decision-making processes across the human lifespan, from understanding the role of theoretical neuroscience to developing robust decision-making under uncertainty.
Researchers have made significant strides in developing new methods for artificial intelligence (AI) to learn and solve complex problems, with advancements in reinforcement learning, collaborative agents, and multilingual embeddings.
Scientists develop innovative methods to improve AI's interpretability, security, and performance in various applications
New techniques improve reinforcement learning, tree height estimation, and generative sampling
Advances in NLP, Federated Learning, and AI-Driven Organizations Reshape Industries
New methods for video synthesis, reliability certification, and medical imaging
Researchers introduce new methods for safer language models, more efficient view synthesis, and improved reasoning, pushing the boundaries of artificial intelligence.
As Salone del Mobile 2026 prepares to showcase the latest in interior design and furniture, researchers are making strides in AI and machine learning, from compressing large models to automating typing in legacy software.