Enterprise IoT is another direction of IoT industry development, which businesses are actively adopting. Embedded technologies for large organizations bring new challenges in terms of connectivity, network stability, and data security.
Explore the top 5 use cases of Software-Defined Connectivity (SDC) and learn how SDC reduces costs, improves compliance, and accelerates IoT innovation.
CheriBSD is a Capability Enabled, Unix-like Operating System that extends FreeBSD to take advantage of Capability Hardware on Arm's Morello and CHERI-RISC-V platforms.
Fabspeed Motorsport revolutionized its Porsche modification process using SCANTECH's KSCAN-Magic scanner—cutting scan time, eliminating sprays, and enabling fast, precise custom parts for high-performance vehicles.
Wevolver spoke with John Weil, Vice President of IoT and Edge AI Processor Business at Synaptics, to understand the challenges of bringing AI to the edge, how the Synaptics Astra™AI Native platform enables cognitive computing in real-world devices, and what the future holds for edge intelligence.
In this context, dynamic constraint checking includes software runtime checks (assertions that make checks over the correct behavior of the system) and hardware checks provided by some microprocessors, for example, memory protection provided by a Memory Management Unit (MMU).
Teams that are looking at alternative programming languages have two options today: Ada and Rust. Both languages raise the bar in terms of safety and security
Lack of process efficiency is a serious problem in engineering. It causes additional costs and cripples innovation. In this article series, we explore ways of automating engineering tasks that yield business results.
Smart locks are forming the front line for home security. Unlike regular locks, they eliminate the need for physical keys, allowing doors to lock and unlock through wireless connectivity. That connectivity brings innovation.
Traditional marketing strategies don't always resonate with engineers and technical buyers. To succeed, research-driven content and an SEO strategy are required.
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.