On top of that news, Google had announcements of its own to make at Unpacked regarding new Android AI features, which will of course be available on S26 devices. On those handsets and the Pixel 10 lineup, the Gemini app will soon have a feature (in beta) that enables you to offload multi-step tasks, such as booking a ride or putting a grocery order together, to AI. It sure sounds like an attempt to build out agentic AI features on mobile devices.
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?。关于这个话题，91视频提供了深入分析
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Michelle RobertsDigital health editor, BBC News
Grammarly has a more friendly UI/UX。业内人士推荐51吃瓜作为进阶阅读