Spin–orbit-coupled quantum transport with optimised Gaussian-type orbital basis sets: Application to molecular junctions and topological materials

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Intrinsic was started in 2021 as an Alphabet "Other Bets" project, part of a portfolio of high-risk and potentially high-payoff startups, Waymo among them. The project will now run as a "distinct group" within Google where it will leverage Gemini and Google Cloud while working closely with the Google DeepMind team.

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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?

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