Blog Posts | Joshua Berkowitz

19 Articles

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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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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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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

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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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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

Sep 20, 2025

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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

Sep 20, 2025

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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

Sep 11, 2025

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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

Aug 25, 2025

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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

Aug 19, 2025

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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

Aug 7, 2025

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