How AI Is Used For Shadow Detection in Fusion Reactors Fusion reactors operate at extreme temperatures, making the identification of vulnerable surfaces essential for safe and efficient operation. A cutting-edge artificial intelligence tool, HEAT-ML, deve... AI deep learning fusion energy magnetic shadows plasma physics PPPL reactor design SPARC
SimpleFold: When Less Is More in Protein Folding Protein folding is the process of predicting a protein's three-dimensional atomic structure from its amino acid sequence which has been revolutionized by deep learning breakthroughs like AlphaFold2 an... CAMEO22 CASP14 deep learning ensemble generation flow matching generative modeling protein folding transformer
How Foundation Models Are Transforming Scientific Discovery Foundation models such as large language models have made waves in language processing and computer vision, but their leap into scientific disciplines is both exciting and complex. Scientific fields d... data efficiency deep learning foundation models machine learning physical constraints scientific discovery time series forecasting uncertainty quantification
Unlocking New AI Potential with Deep Researcher and Test-Time Diffusion Cutting-edge artificial intelligence (AI) models excel at many tasks, but their performance often depends on how well they can adapt to new, unseen data. Deep Researcher with Test-Time Diffusion is a ... adaptation AI research deep learning generalization machine learning reasoning test-time diffusion
Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee... AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology
Neural Networks Are Transforming 3D Rendering: Inside Microsoft's RenderFormer 3D rendering powers our most captivating digital experiences, from blockbuster movies to cutting-edge virtual reality. Traditionally, this field has relied on physics-based methods to recreate the int... 3D rendering AI research computer graphics deep learning machine learning neural networks RenderFormer SIGGRAPH
Dynamic Node Pruning: Improving LLM Efficiency Inspired by the Human Brain As artificial intelligence continues to scale, large language models (LLMs) face mounting challenges in computational cost and energy usage. But what if these models could intelligently activate only ... AI efficiency deep learning dynamic pruning LLM model optimization neural networks sustainability
DINOv3: Redefining Self-Supervised Learning in Computer Vision Meta’s DINOv3 is pushing self-supervised learning (SSL) to new heights and transforming the landscape of computer vision with a vision model that learns directly from billions of images without needin... AI research computer vision deep learning DINOv3 image analysis open source self-supervised learning
WhoFi: Person Identification with Wi-Fi Signals and Deep Learning In the pervasive landscape of modern surveillance and smart environments, the ability to accurately identify and track individuals across different locations and times, a task known as Person Re-Ident... biometrics CSI data deep learning person identification privacy transformers Wi-Fi sensing
Unveiling Hidden Cell Subtypes to Transform Cancer Research CellLENS is a groundbreaking artificial intelligence tool developed by a multidisciplinary team led by MIT designed to precisely identify which immune cells are fighting, helping, or hindering tumors,... artificial intelligence biomarkers cancer research cell subtypes deep learning immunotherapy precision medicine
FP4 Quantization Meets NVIDIA HGX B200: A New Era of Efficient AI AI technology is advancing at lightning speed, and the search for greater efficiency has led to a breakthrough: FP4 quantization . This 4-bit floating-point format, when combined with Lambda’s NVIDIA ... AI acceleration deep learning FP4 Lambda Cloud model optimization NVIDIA B200 quantization TensorRT
GenSeg For Medical Image Segmentation in Low-Data Environments Medical image semantic segmentation is a fundamental process in modern healthcare, crucial for applications such as diagnosing diseases, tracking disease progression, planning treatments, and assistin... AI segmentation data efficiency deep learning generative models healthcare AI medical imaging synthetic data