Georgetown University's Lombardi Comprehensive Cancer Center researchers have identified a new way to reprogram T cells, ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...
Research into alternative computer architectures is getting a new boost thanks to work by Sandia National Laboratories.
A digital detox, consciously disconnecting from digital devices like phones, tablets, and TV, can reduce dopamine cravings, ...
Abstract: In the context of Electroencephalography (EEG) research, how is Working Memory (WM) leveraged in Human-Computer Interaction (HCI)? To address this question, this paper explores how WM is ...
Abstract: Training Convolutional Neural Networks(CNNs) is both memory-and computation-intensive. The resistive random access memory (ReRAM) has shown its advantage to accelerate such tasks with high ...
New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just as adept at ...
A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...
To overcome AI's limits, a bridge must be built between computer science and biology, according to Kea-Tiong Tang, a ...
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