In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

We examined publications and reference data to identify research topics, trends and interdisciplinarity for cardiovascular disease (CVD). Methods We extracted and clustered text fragments from the ...

The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale ...

Anthropic’s Claude and Meta’s Llama AI foundation models are now cleared to operate in federal digital environments deemed high risk and handle corresponding sensitive, unclassified data.

Based on this model, we design and implement AMMMO framework, where a set of control parameters is defined to distill and categorize data patterns. At the top level, we evaluate each sub-sequence to ...

A new technical paper titled “Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors” was published by researchers at IBM. Abstract “The use of Large Language Models ...

Data modeling not only made me a better engineer, but changed the way I look at engineering. In the IT design guidance and system models and specifications I’ve created, I’ve begun to think that I ...

Vlad Ilyushchenko discusses database design and focuses on geographical data distribution, simplifying data pipelines with HA writes, data visualization with SQL extensions, and providing data ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...