While such predictions remain speculative, developments in AI over the next few years are easier to foresee. So, what transformative changes can we expect from AI in the year 2025 and beyond?

She doesn't feel pity, remorse, or fear, but she'll craft a polite email message Interview Mega HR, a Florida-based human ...

Viswam.ai democratizes AI access for the Global South by leveraging community resources and developing culturally sensitive ...

Discover how these innovative testing strategies can help uncover hidden flaws and prepare AI systems for unpredictable real-world scenarios ...

Andrei also points to the example of Tom Siebel, CEO of C3.ai. Siebel has been quoted saying about AI, “The market is vastly overvaluing it,” and “Absolutely there’s a bubble.” According to Andrei, ...

Leverage the full potential of Large Language Models (LLMs) for your business while staying compliant. The post Large Language Models and Regulations: Navigating the Ethical and Legal Landscape ...

AWS proposes using translation memories with foundation models in Amazon Bedrock for better contextual translations.

But it could help with mundane tasks, freeing up designers to focus on more intricate problems.

Hallucinations are a persistent problem in healthcare. Here's how GSK is using test-time compute scaling to improve its gen AI systems.

Neural Magic’s dedication to creating optimized and efficient AI models enhances Red Hat’s ability to realize this vision.

We've gotten the hang of correcting and preventing human actors' mistakes, but how ought we to prepare for new kinds of mistakes wrought by AI, ask Bruce Schneier and Nathan Sanders?