The intersection of news archives and large language models is a topic for the courtroom these days — but it can also bring ...

By Bryan AcheampongFull text of a speech delivered by \xa0Bryan Acheampong (Dr), Member of Parliament for Abetifi recently at the University of Media, Arts and Communication (UniMAC), themed “AI ...

Xiong is the Chief Scientist and co-founder of the Experian Innovation Lab. With more than 30 years of experience, he has applied AI and machine learning to develop solutions in fraud detection, ...

In an era where AI adoption frequently outpaces regulatory readiness, Archana Pattabhi, Senior Vice President at a leading global bank, led a forward-looking transformation that redefined how ...

Google ’s new AlphaEvolve shows what happens when an AI agent graduates from lab demo to production work, and you’ve got one of the most talented technology companies driving it. Built by ...

Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm ...

As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to ...

Now, it seems Microsoft is looking to push its own AI models in the popular software suite, while also developing a rival to OpenAI’s reasoning models in the ”GPT-o” family.

CoT models, like OpenAI’s o1 CoT model, are huge breakthroughs in the field of machine learning. However, making such models better and meaningfully integrating them into stagnant industries is ...