What I’ve learned about making Pandas faster after too many slow notebooks and frozen sessions The post 7 Pandas Performance Tricks Every Data Scientist Should Know appeared first on Towards Data Science.
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers are hard to pin down, some estimates suggest that more than 60 percent of data used for AI applications in 2024 was synthetic, and this figure is expected to grow across industries. Because synthetic data don’t contain real-world information, they hold the promise of safeguarding privacy while reducing the cost and increasing the […]
Learn more about AlphaFold, Google’s AI system that accurately predicts protein structures.
Deepening our partnership with the UK government to support prosperity and security in the AI era
Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, aiming to simplify messy integrations and help AI agents use real tools.
Key Highlights: Google has been heavily criticized for sprinkling sponsored results across search results. No doubt, ads are one of the major driving forces of any company’s revenue. But when ads start getting in the way of how a user uses a product or service, things start to get annoying. Let’s be honest, we all hate ads, and when a new report circulated yesterday claiming that Google is mulling over the idea of showing ads in Gemini tools, […]
Nebius Token Factory customers use distillation today for search ranking, grammar correction, summarization, chat quality improvement, code refinement, and dozens of other narrow tasks.
This Thanksgiving, I give thanks for something our forebears gave us: property rights.
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in […]