AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.
A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...
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Coding for a cure: Sewickley Academy student’s research reveals key differences in genetic mutations
Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...
In a Reddit post, a techie shared how his colleague was fired for using AI to write code that later caused a production issue. “Using AI in your job instead of understanding code got my colleague ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
The Detroit project envisioned using JavaScript as an extension language for Java applications. Now it’s being revived with the addition of Python.
Get an honest ChatLLM review covering pricing, DeepAgent, multi-model access, and real use cases. Is it worth the investment in 2026?
Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.
OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.
Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...
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