Blog Posts | Joshua Berkowitz

25 Articles

deep learning ×

Mastering the Art of Fine-Tuning the Segment Anything Model (SAM)

The Segment Anything Model (SAM) has revolutionized computer vision with its ability to generate high-quality segmentation masks for a wide variety of objects. While SAM offers impressive results out ...

computer vision deep learning fine-tuning model training Roboflow SAM segmentation

Nov 21, 2025

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News

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

Nov 18, 2025

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News

Dion Optimizer: Transforming Distributed AI Training Efficiency

Optimizers such as Adam and AdamW have been essential to training large-scale neural networks. However, as model sizes soar into the trillions of parameters, the need for more efficient training metho...

AI optimization deep learning distributed training large language models open source orthonormal updates PyTorch scalability

Nov 16, 2025

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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

Nov 4, 2025

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Github Repos

Microsoft’s Analog Optical Computer: The Next Leap for AI and High-Performance Computing

As the demands of artificial intelligence and high-performance computing push traditional digital electronics to their limits, a new approach is needed. Microsoft's analog optical computer represents ...

AI hardware analog computing deep learning energy efficiency future technology Microsoft optical computing

Nov 4, 2025

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Deep Learning Resurrects Ancient Antibiotics: Mining Extinct Proteomes for Modern Medicine

In a groundbreaking fusion of paleobiology and artificial intelligence, researchers from the University of Pennsylvania have pioneered a revolutionary approach to combat the escalating global antibiot...

antibiotic discovery antimicrobial resistance artificial intelligence computational biology deep learning drug discovery extinct organisms machine learning molecular de-extinction paleogenomics

Nov 4, 2025

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Papers

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

Oct 30, 2025

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AI-Powered DeepSomatic Sets New Standard in Tumor Variant Detection

Genetic mutations drive cancer, but pinpointing true variants amid sequencing errors has been a challenge for researchers. DeepSomatic is an AI tool developed by Google Research and collaborators that...

AI in healthcare bioinformatics cancer genomics deep learning open source tools precision medicine variant detection

Oct 23, 2025

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Skala: The Deep Learning Breakthrough Accelerating Computational Chemistry

What if you could forecast chemical reactions and design new materials with laboratory-level precision, all without setting foot in a lab? Skala, a revolutionary deep-learning-based exchange-correlati...

AI for Science Azure AI computational chemistry deep learning density functional theory Microsoft Research molecular simulation

Oct 13, 2025

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News

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

Oct 3, 2025

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News

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

Oct 3, 2025

0 3223

Papers

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

Sep 29, 2025

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