fbpx

The SK-TDA4VM, an 8 TOPS Deep Learning Starter Kit for Edge AI Application Development

Bring smart cameras, robots and intelligent machines to life with Texas Instruments’ TDA4VM processor starter kit. With a fast setup process and an assortment of foundational demos and tutorials, you can start prototyping a vision-based application in less than an hour. The kit enables 8 TOPS of deep learning performance and hardware-accelerated edge AI processing …

The SK-TDA4VM, an 8 TOPS Deep Learning Starter Kit for Edge AI Application Development Read More +

Benchmark Embedded Deep Learning Inference in Minutes

TI Edge AI Cloud is a free service that lets you evaluate accelerated deep learning inference using TDA4x processors from Texas Instruments that you access via the cloud. No hardware purchase or software installation is required. TI Edge AI Cloud lets you: Connect to a Jacinto™ TDA4x processor evaluation board via the cloud Experience software …

Benchmark Embedded Deep Learning Inference in Minutes Read More +

Webinars Explore Various Deep Learning Development Topics

Now available for free on-demand viewing are the archive recordings and transcripts of several recent “Process This” webinars from Texas Instruments: Program an Edge AI “Hello World” Application Using Free Online Tools Demystifying Embedded Deep Learning Deployment 8 TOPS of Edge AI Performance Using a $199 Starter Kit For more information on these and other …

Webinars Explore Various Deep Learning Development Topics Read More +

Lattice FPGAs Power Real-Time Radar Adapter Cards

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As …

Lattice FPGAs Power Real-Time Radar Adapter Cards Read More +

“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments

Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit. Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes …

“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments Read More +

Imagination’s New BXS GPU Enables Automotive Graphics in Texas Instruments Processor Family

London, England; 4th November 2020 – Imagination Technologies announces that its BXS-4-64 GPU will be included in Texas Instruments (TI) Jacinto™ processor families for automotive applications. BXS offers up to 60% higher performance for automotive graphics applications, like surround view technology, thanks to its bespoke design for the automotive market needs. IMG BXS is the …

Imagination’s New BXS GPU Enables Automotive Graphics in Texas Instruments Processor Family Read More +

New Low-power, High-performance TI Jacinto 7 Processors Enable Mass-market Adoption of Automotive ADAS and Gateway Technology

Highly integrated processors support the needs of your entire vehicle lineup with specialized accelerators and functional safety features on-chip and a unified software platform LAS VEGAS, Jan. 7, 2020 /PRNewswire/ — Texas Instruments (TI) (NASDAQ: TXN) today introduced the new Jacinto™ 7 processor platform. Built on the foundation of TI’s decades of automotive systems and …

New Low-power, High-performance TI Jacinto 7 Processors Enable Mass-market Adoption of Automotive ADAS and Gateway Technology Read More +

“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing: factories are becoming smarter. This …

“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments Read More +

Green revolution image 1

Tips For Designing a Robust Computer Vision System For Self-driving Cars

This article was originally published at Texas Instruments' website. It is reprinted here with the permission of Texas Instruments. The robustness and reliability of a self-driving car’s computer vision system has received a lot of  news coverage. As a vision software engineer at TI helping customers implement advanced driver assistance systems (ADAS) on our TDAx …

Tips For Designing a Robust Computer Vision System For Self-driving Cars Read More +

Empowering Automotive Vision with TI’s Vision AccelerationPac

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction By September of 2013, Google’s self-driving car had completed over 500,000 miles of driving without a single accident under computer control[1]. Google’s disruptive driver- less car project was aimed to improve car safety and …

Empowering Automotive Vision with TI’s Vision AccelerationPac Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

1646 North California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top