Machine Learning News

AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets.

Zero-knowledge proofs aren’t just for crypto anymore — they’re the key to building AI systems we can trust. It’s now possible to scale ZK-proofs for end-to-end model fairness.

According to OpenAI co-founder Ilya Sutskever, AI researchers must find new ways of scaling machine intelligence to overcome limitations.

Training an AI bot for crypto trading opens up 24/7 market access and speed. Learn how to build or deploy bots, the risks involved, and how they can fit into your strategy.

Fetch.ai partners with Imperial College London’s I-X Hub and launches a $10 million fund for AI startups and innovative tech development.

A dwindling consumer interest in chatbots caused a drop in AI-sector revenues during the second business quarter of 2024.

In February 2024, the artificial intelligence company was valued at approximately $80 billion and has grown considerably since that time.

FET and other AI tokens are outperforming the wider crypto market this week, but is the rally purely driven by investors' earnings expectations for Nvidia?

The new company will develop AI safety and capabilities in tandem.

The mobile app and plug-in will use invisible watermarks and leverage the Aptos blockchain to ensure digital property rights regardless of where content is hosted.

Former OpenAI researcher Leopold Aschenbrenner is confident that an AI lab will be able to train a GPT-4-level model in a minute in 2027, versus three months in 2023.

The AI industry faces bottlenecks caused by the scarcity and high costs of enterprise-grade GPUs.

The integration could have huge implications for denizens of the cryptocurrency community.

AI and machine learning compute networks built on decentralized infrastructure could allow the onboarding of significant hardware resources worldwide.

Io.net will support Apple silicon chips, allowing users to use the hardware for machine learning applications.