How AI has massively changed my day-to-day workflow The post A Day in the Life of a Data Scientist in 2026 appeared first on Towards Data Science .
By Haden Pelletier
The article discusses a specialized LLM inference runtime designed for real-time applications, such as a 33 ms robot control cycle. Unlike typical runtimes that ignore physical deadlines, this system refuses new requests when the deadline is at risk, evicts key‑value cache entries based on meaning rather than age, and is implemented entirely in hand‑written CUDA without relying on cuBLAS or libtorch.
By Anubhab Banerjee
A curated roundup of notable LLM research papers that came out this year
By Sebastian Raschka, PhD
Research-backed cues to detect LLM-generated text along with the mathematical intuition as to 'why' The post Is This Slop? Detecting AI-Generated Content Without a Model appeared first on Towards Data Science .
By Sam Black
Simon Willison reflects on his experience with coding agents, noting that while they enable impressive feats, they also complicate software engineering. He emphasizes that fully harnessing their capabilities demands exceptional discipline and deep knowledge. The article highlights the dual nature of coding agents as both powerful tools and challenging additions to development workflows.
The article titled "5 AI Skills That Will Keep Data Scientists Relevant in 2027" outlines five specific AI competencies, explaining what each skill addresses and providing runnable code snippets that readers can directly paste into a notebook. It serves as a practical guide for data scientists aiming to stay current with emerging AI technologies.
By Sara Nobrega