AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

With the advent of AI tools comes the for higher-ed leaders innovate at all levels, automating administrative and repetitive tasks and using AI to transform outdated processes and open up ...

What if the so-called “AI bubble” isn’t a bubble at all? Imagine a world where artificial intelligence doesn’t just plateau or implode under the weight of its own hype but instead grows smarter, more ...

The old life script of “study first, work later” is collapsing under the pressure of artificial intelligence. Learning and ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

Continual learning in neural networks addresses the challenge of adapting to new information accumulated over time while retaining previously acquired knowledge. A central obstacle to this process is ...

Small business owners would be forgiven if their initial response to Verizon announcing its Business Assistant in March was, “Cool, but how do I use it?” The generative artificial intelligence–enabled ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. The pace of improvement in artificial intelligence today is breathtaking ...

Great AI pilots often fail when they leave the sandbox. Clear objectives, shared language and disciplined execution are what ...

Cognizant today announced the release of "New Work, New World 2026," providing fresh analysis on how artificial intelligence ...

Explore how the BFSI sector can prepare its workforce to thrive alongside AI, emphasizing leadership, adaptability, and continuous learning.