AI is being deployed in production healthcare systems to read radiology scans, flag high-risk patients, and automate administrative tasks. Convolutional neural networks match radiologist performance o…
LLM inference costs 100x more than traditional machine learning inference because autoregressive generation requires a separate forward pass through the entire model for each output token. A Llama 3.1…
Researchers at arXiv have identified that Batch Normalization causes gradient skew in dynamic sparse training (DST) methods, leading to slower convergence compared to dense neural network training. Th…
The next frontier for medical AI is building "world models" that can predict how a biological state changes in response to an intervention, moving beyond current systems focused on classification or q…