Blog Posts | Joshua Berkowitz

28 Articles

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JAX AI Stack and Google Cloud TPUs Are Transforming Production AI

As artificial intelligence models become increasingly large and complex, organizations must find platforms that are scalable, efficient, and flexible. Google's JAX AI Stack, developed in close partner...

AI infrastructure Cloud TPUs deep learning Google Cloud JAX machine learning model optimization production AI

Dec 7, 2025

0 1694

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How AI Breakthroughs Are Shaping Tomorrow’s Technology

Artificial intelligence is advancing at lightning speed, constantly redefining what machines can accomplish. Today’s breakthroughs are not just technical marvels—they’re rewriting the future of entire...

AI research deep learning ethical AI future of AI machine learning NLP real-world applications technology trends

Dec 6, 2025

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News

FLUX.2 Ushers in a New Era of Scalable Image Generation

The release of FLUX.2 by Black Forest Labs signals a dramatic shift in the landscape of image generation models. This new architecture is not a mere iteration but a ground-up redesign, dramatically ex...

deep learning diffusers FLUX.2 image generation LoRA memory optimization multimodal quantization

Dec 4, 2025

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News

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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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

0 2717

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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

0 5808

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