The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

AI is making IoT devices more capable, but it is also giving attackers new ways to compromise them.In October 2025, Microsoft ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

Transition from the cloud to the edge for generative AI. New product challenges for generative AI at the edge. Choosing an edge AI solution that meets these new challenges. When most people think ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

The Cybersecurity and Infrastructure Security Agency (CISA) recently issued a major emergency directive: all federal agencies must disconnect any edge devices that no longer receive security updates ...

Not surprisingly, AI is making inroads into medtech applications as companies seek to incorporate more intelligence in gathering and analyzing medical data and making informed real-time decisions as ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

Advanced Micro Devices is extending its x86 challenge beyond data centres and personal computers, using its Ryzen AI Embedded processor portfolio to target cars, robots, medical systems and industrial ...