Redefining AI Training: SYNTH Ushers in a Reasoning-First Data Revolution SYNTH is a synthetic dataset designed to push language models beyond memorization, toward deeper intelligence and agility. Since GPT-3, most language models have depended on massive web-scraped datase... AI training context engineering deep learning language models multilingual AI reasoning synthetic data Wikipedia
TorchAO: A PyTorch-Native Shortcut To Smaller, Faster Models TorchAO is PyTorch's native toolkit for model efficiency: it unifies post-training quantization (PTQ), quantization-aware training (QAT), float8 (FP8) training, and structured sparsity in one coherent... deep learning FP8 model efficiency open source PyTorch QAT quantization sparsity TorchAO
Revolutionizing Genome Annotation: The Power of SegmentNT Deciphering the human genome, with its 3 billion nucleotides, remains one of biology’s greatest challenges. Precisely mapping genes and regulatory elements is crucial for understanding gene expression... bioinformatics deep learning foundational models genome annotation genomics machine learning multi-species SegmentNT
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
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
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
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