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How Claude is uplifting biomolecular modeling

In this post, we share how Claude made the open-source models that scientists use to predict and design biomolecules faster and more memory-efficient. Claude, working within Claude Science, optimized more than 30 of these models in just under four weeks, speeding them up roughly 4x on average. It also created a low-memory mode that enables the accurate prediction of biomolecular systems larger than 10,000 tokens (amino acids, nucleotides, and atoms from small molecules and ions) on a single NVIDIA GPU node. We are open-sourcing all of the optimized code and announcing a protein design competition co-sponsored with Adaptyv Bio, backed by up to $1 million in Claude credits and wet lab validation for over 5,000 designs.

Spain leads quantum computing: 'Made in Spain' chips manufactured in Barcelona

The new IMB-CNM facility is equipped with cutting-edge tools for manufacturing nanometre-scale devices and has received investment exceeding six million euros.

How LLMs Actually Work

This post is a walkthrough of how LLMs work. Modern LLMs are mostly built by stacking transformer blocks over and over, so understanding the transformer machinery gets you most of the way there.I’ll cover the core mechanisms inside modern transformer-based LLMs, without all that sticky math stuff. Don’t get me wrong, you should learn the math, but this can serve as an introduction.Most modern LLMs share the same transformer-family skeleton. The differences come from what each one was trained on, the scale and configuration choices, and the post-training done on top. By the end, you should be able to read many modern LLM papers or model cards and know which piece of the architecture each section is talking about.

How an MIT research project became a global programming language

Julia, the programming language that originated as a research project at MIT, has gained a loyal following among scientists, engineers, mathematicians, and others. The free and open-source language counts more than 1 million users, including people at thousands of companies and universities around the world.

Apache Kafka vs Apache Iggy: A Technical Comparison

Compare Kafka and Iggy architectures, durability guarantees, and benchmarks to understand which streaming engine fits your workload before you decide. At first glance, this looks like a fairly simple comparison. Both systems persist messages in partitioned, append-only logs. Both have offsets, retention policies, consumer groups, and replay. Apache Iggy is written in Rust with a thread-per-core architecture on top of io_uring, while Kafka runs on the JVM. So perhaps we should run a benchmark and pick the faster one.

New programmable photonic chip can control how fast light moves

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Airbus takes flight from AWS. What happens next is critical

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Energy Department Announces Initiative to Create and Deploy the World’s First Scientifically Relevant, Fault-Tolerant Quantum Computer

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Terraform MCP server: Four real-world AI infrastructure patterns

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80.1 million requests per second on DynamoDB

Amazon Live and IVS on Prime Day Throughout Prime Day 2020, Amazon customers were able to shop from livestreams through Amazon Live. Shoppers were also able to use live chat to interact with influencers and hosts in real time. They were able to ask questions, share their experiences, and get a better feel for products of interest to them.