Machine learning inference has thoroughly penetrated embedded applications, especially with visual and spatial data like images and radar/lidar. Texas Instruments has a scalable processor portfolio for vision inference at the edge. From inexpensive Arm®-only solutions to computationally-efficient hardware accelerated solutions that deliver optimum combinations of performance, power efficiency and cost, our device performance levels range from 0.5 TOPS to 8 TOPS. With a large collection of pre-optimized AI models, no-cost and low-cost development tools, and a hardware-agnostic software programming environment, TI helps you bring your idea to realization on an embedded device in no time.

Texas Instruments (TI) expanded its connectivity portfolio with a new family of wireless microcontrollers (MCU) that enable high-quality Bluetooth Low Energy (LE) 

In this webinar we provide an overview of Wi-SUN®, a self-healing standards-based Sub-1 GHz mesh solution, and TI’s certified software and hardware solutions that support Wi-SUN.

Texas Instruments is a big company. One thing that’s afforded by a company of its size is a lab that can help the various product groups on their designs. And that’s the role of Kilby Labs at TI.

Imagimob announced tinyML for two new applications based on mmWave radar sensors from Texas Instruments for fall detection and gesture recognition.

The road to embedded world is getting longer and longer in that the number of stops continues to increase, as more embedded vendors sign on to exhibit their wares at the industry’s most significant event of the year.

Sitara high-performance MCU’s are design to break performance barriers by combining high-speed compute cores, large amounts of RAM, and key peripherals to address emerging needs in the MCU space.