Categories: AI/ML News

DeepMind’s AlphaCode attains ‘average’ rating in programming competition

A team of researchers at DeepMind has tackled another difficult task—generating computer code to satisfy a natural language request. In their paper published in the journal Science, the group describes the approach they used in creating their AI app and outline how well it did when pitted against human programmers. J. Zico Kolter with Carnegie Mellon University has published a Perspective piece in the same journal issue outlining many of the issues involved in getting a computer to generate computer code and the work done by the team in London.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Fine-tuning SDXL with childhood pictures → audio-reactive geometries – [Experiment]

After a deeply introspective and emotional journey, I fine-tuned SDXL using old family album pictures…

1 hour ago

Beyond Accuracy: 5 Metrics That Actually Matter for AI Agents

AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape…

1 hour ago

Apple Workshop on Reasoning and Planning 2025

Reasoning and planning are the bedrock of intelligent AI systems, enabling them to plan, interact,…

1 hour ago

MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix

Avneesh Saluja, Santiago Castro, Bowei Yan, Ashish RastogiIntroductionNetflix’s core mission is to connect millions of members…

1 hour ago

Scaling data annotation using vision-language models to power physical AI systems

Critical labor shortages are constraining growth across manufacturing, logistics, construction, and agriculture. The problem is…

1 hour ago

Start Your Surround Sound Journey With $50 off This Klipsch Soundbar

This soundbar is just the beginning, with the option to add wireless bookshelf speakers or…

2 hours ago