B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...
Decoding failures that jeopardise next generation encryption are now reduced by 63. 7% thanks to a new neural network ...
The 2nd annual competition, begins!Last month, we held the "ChatGPT Nonsense Talk Awards" to recognize the most hopelessly silly stories born from casual chats with ChatGPT. The grand prize for the ...
Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
A model was released on Hugging Face that claims to have a 32-bit RISC-V CPU compiled and embedded within the weights of ...
Preterm birth prevention AI has scored a breakthrough: Stanford researchers built immune-system digital twins of pregnant ...
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
For people living with obsessive compulsive disorder, the distress goes far beyond neatness. Shame, misdiagnosis and delayed ...
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides ...
How our brains give rise to consciousness is one of the biggest mysteries in neuroscience. But new research by Janis Hesse at ...
A recurrent neural network trained on simulation data predicts soliton dynamics in Kerr resonators about twenty times faster than traditional Lugiato–Lefever computations.
Researchers at Yonsei University have developed a Mamba-based neural decoder for quantum error correction, significantly ...