Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...
Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
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Shrikrishna Joisa on the future of AI in software engineering in 2026
"AI is fundamentally changing how software is built, but not in the way many headlines suggest," Joisa explains. "Instead of replacing engineers, it’s reshaping the workflow by automating repetitive ...
Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
The earliest examples of what we now call Optical Character Recognition (OCR) date back to the early 20th century, including ...
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