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?
Mr Duffy called for proposals from commercial companies to build a reactor that could generate at least 100 kilowatts of power.
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"So we are seeing boards find different ways to expand the roles and responsibilities of high potential leaders, to see how they accelerate and grow in a market that is creating a lot of change and ambiguity every day."
Стало известно о наступлении российских войск в Запорожской областиВ России сообщили о наступлении на стыке Запорожской и Днепропетровской областей