Applications
scroll to learn more or view by subtopic
Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.
View all Posts

Bosch and Qualcomm Expand Collaboration to Strategic ADAS Solutions
Highlights: High performance solutions: Bosch and Qualcomm aim to make ADAS solutions for enhanced safety and comfort available to everyone. Continued Business Momentum: Collaboration has secured significant new business wins for both next-generation ADAS and cockpit solutions. Proven Global Success: Bosch delivers over 10 million cockpit computers powered by Snapdragon® Cockpit Platforms. Global Market Penetration:

Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics
TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines. Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking

From Connected to Aware: How PSOC™ Edge enables the next wave of smart devices
This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Across home, retail, and industry, devices that once followed simple rules are now expected to understand people and context. A thermostat shouldn’t just follow a schedule; it should know if anyone is in the room and choose the preferred
Building Robotics Applications with Ryzen AI and ROS 2
This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and
The Future of Security Is Already Running. Here Is What It Looks Like.
This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. A camera sees everything and understands nothing. For decades, that has been the fundamental limitation of physical security at scale: vast amounts of footage, limited ability to act on it in real time. The gap between

Humanoid Robots 2026-2036: Technologies, Markets, and Opportunities
Maturity of commercialization of humanoid robotics by application. For full data, refer to IDTechEx’s research on “Humanoid Robots 2026-2036: Technology, Market, and Opportunities” This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. Automotive industry, logistics, home-use, key players and suppliers, AI chip, battery, actuator, motor, screw, tactile

See How ams OSRAM Revolutionize Optical Solutions with the Help of Cadence Tools
OSRAM utilizes the Quantus SNA workflow for high-precision silicon. In modern semiconductor design, Heterogeneous Integration is the new frontier. When light detectors for Medical Imaging or depth sensors for Autonomous Systems are packed onto a single die alongside radio systems, the risk of interference skyrockets. For ams OSRAM, “sensing the power of light” means more

Evaluating Waveguide Technologies for AR Smart Glasses
The difference in optical efficiency at wider FOV for the same technology type for several commercial waveguides. Data was normalized to the narrow FOV product, with arrows representing the reduction in efficiency for wide FOV waveguides developed by the same company. A clear reduction in optical efficiency for waveguides of the same technology at wider

Smart Home Connectivity: Trends, Challenges and the Role of Next-Gen IoT Technology
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. As the smart home market matures, consumers demand devices that are not just connected, but intelligent and interoperable. It can be a challenge to address their demands because original equipment manufacturers (OEMs) face regulatory changes affecting new security,

2026: The Year Intelligence Gets Physical
This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason
