DeepMind’s AlphaCode artificial intelligence system represents a monumental breakthrough in programming capabilities for AI. The London-based research laboratory has developed this system to write code at levels comparable to expert […]

Introduction The development and control of advanced artificial intelligence systems today is concentrated in the hands of big tech companies like Google, Microsoft and Meta. This centralized power structure limits

5. Decentralizing AI: Understanding Deta Science’s Web3 ApproachRead More »

Introduction Data is the lifeblood of artificial intelligence. Advanced AI systems like large language models and computer vision networks require massive datasets to train on. But collecting, cleaning and labeling

Deta Science Aims to Overcome AI’s Data Barriers Through Collective IntelligenceRead More »

Introduction As artificial intelligence rapidly advances, no single company or research lab has all the capabilities required to progress the field alone. Meaningful innovation increasingly emerges from collaboration between organizations

Can Deta Science’s Open Knowledge Graph Model Transform AI Collaboration?Read More »

Introduction The field of artificial intelligence (AI) is advancing at a rapid pace. Large tech companies like Google, Amazon and Microsoft have been leading the way in developing powerful AI

How Deta Science is Democratizing AI Development Through Knowledge SharingRead More »

The limitations holding back transformative AI largely stem from deficiencies in training data. Centralized knowledge graphs like Google’s contain entrenched biases and suffer from data silos. Deta Science offers an

Deta Science: Building the Future of AI With a Decentralized Knowledge GraphRead More »