Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...
Nature published Microsoft’s research detailing our WHAM, an AI model that generates video game visuals & controller actions. We are releasing the model weights, sample data, & WHAM Demonstrator on ...
Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...
At the forefront of this progress are large language models (LLMs) known for their ability ... a scalable framework for improving AI capabilities. Mind Evolution sets the stage for more powerful AI ...
Researchers have developed a computer model to help scientists identify tumor ... allowing patients' immune systems to fight cancer more effectively. But not all patients respond to these ...
One of the most controversial debates in cognitive neuroscience concerns the cortical locus of semantic knowledge and processing in the human brain ... model ‘areas’ to mimic important features of the ...
A brain–computer interface (BCI ... Additionally, the ovine model for cerebral catheter venography demonstrated generalizability to the human cerebral venous system in relation to the motor cortex ...
Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States ...
CNN’s name hints at how the program outperforms the human mind in certain specific tasks: at every step, the computer can consider moves that are more foldy and twisty than a human brain can.
This important study combines the use of Fisher Kernels with Hidden Markov models aiming to improve brain-behaviour prediction ... and by the McDonnell Center for Systems Neuroscience at Washington ...
Therefore, this paper proposes a novel methodology, the Evolving Symbolic Model (ESM), for generating highly interpretable data-driven models for dynamic security assessment (DSA), namely in system ...
For participants who can see things in their mind's eye, asking them to think of one of the two patterns can bias which image they perceive first. People with aphantasia, however, are much less ...