With the benefits of machine learning, AI applications can significantly streamline a build process by increasing longevity and adaptability.

Security teams are investing in smart technology to improve their crowd monitoring efforts, however software developers still face deployment challenges.

Rapid advances in AI technologies as well as improvements in hardware are transforming the creation, distribution, and consumption of video content.

This post covers what foundation models are, why they matter for AI technology, and their substantial computing requirements.

For surveillance operations to improve public safety, it requires efficiently leveraging real-time data available from smart edge security devices.

Read about the different smart technologies cities are adopting to improve efficiency, sustainability and safety, and the options for how to deploy them.

Smart retail will experience rapid growth over the next five years. Read some of the ways AI is being used to improve the industry’s safety and security.

Advances in hardware and software are fueling a new wave of medical devices that leverage edge inferencing for real-time AI insights.

In rural areas, cloud-based AI devices have many more challenges than edge AI, where inferencing happens on the device’s embedded system or an edge server.

The key to building powerful AI applications that deliver valuable insights in real time is implementing inferencing at the edge.

Delivering an AI-powered medical device doesn’t have to be a long and expensive process. MBX can help you develop a solution in a fraction of the time.

Supports inferencing of multi-camera streams at high frame rates, lowers cost of edge AI processing, monitors cameras in multiple hospital rooms, and more

Learn about how MBX is bringing industrial and medical grade AI platforms to market built on a foundation of NVIDIA IGX advanced technology.

Learn how you can accelerate the development of AI-powered products and get to market 10x faster with hardware & software building blocks from MBX & NVIDIA.

Smart hospital solutions at the edge are easier to develop with MBX and NVIDIA hardware and software building blocks. Explore the AI devices taking advantage of this innovative development approach.

Choosing the right machine learning platform requires understanding the hardware and software requirements for your specific use case. This article discusses popular edge AI hardware platform options.

Transforming healthcare with artificial intelligence is on the rise. Learn how AI is used in innovating healthcare for the better.

Helps Developers Using NVIDIA Clara Holoscan MGX to Advance Software-Defined AI Medical Instrument Capabilities.

Learn more about NVIDIA’s new Clara Holoscan MGX AI inference platform for the medical industry and how MBX plans to support medical technology developers that choose to adopt the solution.

Application developers can reduce lengthy and expensive development cycles for bringing AI/ML solutions to market using pre-designed, pre-certified building block technology exclusively from MBX.

Portfolio of AI/ML platforms dramatically reduces costs and time to market for developers needing turnkey mobile computer vision solutions, embedded AI systems and server-based AI solutions.

Hardware Building Blocks Speed Deployment of Embedded Systems & Edge Devices/Servers.

Better Together: Read how MBX and NVIDIA reduce medical AI application development time 10x with hardware and software building blocks built on a foundation of AI-enabled embedded and edge platforms.

MBX Systems' Roger Lam, Director of Engineering, was featured on the Health Innovation Matters Podcast to discuss how AI is revolutionizing healthcare.

Kori significantly reduces upfront design and engineering costs and shortens time to market by utilizing MBX’s expertise with complex hardware platforms, eliminating the need for custom cart design.