Small language models, known as SLMs, create intriguing possibilities for business leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniature versions of the ...
Booting into Kolibri OS . Kolibri OS comes in multiple versions and the smallest of those is a floppy disk image that only weighs 1.4MB. I downloaded the floppy disk image off the ...
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a ...
The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over ...
Cody Pierce is the CEO and founder of Neon Cyber. He has 25 years of experience in cybersecurity and a passion for innovation. Large language models (LLMs) have captured the world’s imagination since ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
Ask him how it all began, and he remembers the ice. It was a bitter morning in January, 1982, when Bernard Cathomas, aged thirty-six, carefully picked his way up a slippery, sloping Zurich street. His ...
Curaçao clinched a spot in the 2026 World Cup on a wild final night of Concacaf qualification, becoming the smallest nation (since World War II) to qualify for international soccer's biggest event.
Fawad Butt has served as chief data officer at Kaiser Permanente, UnitedHealthcare and Optum, some of the largest healthcare organizations in the country. Today, he is CEO of Penguin Ai, a healthcare ...
It’s a pretty rare experience to have an entire national park to yourself — and even rarer to know that you can see the entirety of the park’s diverse landscape from one vantage point. But that was ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.