One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a ...

Sentiment analysis on Twitter has always been a deceptively hard problem. A single tweet may contain only a few dozen ...

The hardest problem in industrial AI is not finding a powerful enough model. It is giving that model something it can actually reason with — the accumulated, largely unwritten knowledge of the ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role. Over the past decade, there has been endless churn in technologies ...

AI agents need to understand how businesses work. Graphify’s rise shows why ontologies and knowledge graphs matter for the ...

The capabilities of leading AI models continue to accelerate and the largest AI companies, including OpenAI and Anthropic, are hurtling toward IPOs later this year. Yet resentment towards AI continues ...

A logo of Japan's high-tech giant Hitachi at an exhibition in Tokyo on October 29, 2013. YOSHIKAZU TSUNO/AFP via Getty Images The hardest problem in industrial AI is not finding a powerful enough ...