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Image Quality Labs Launches IQL/poLight/Sunex MLens EVK System for Embedded Vision and Machine Vision Development

DURHAM, N.C., April 16, 2026 — Image Quality Labs, Inc. today announced the launch of the IQL/poLight ASA/Sunex, Inc. MLens® EVK System, a new evaluation platform designed to help engineers assess electronically tunable focus for embedded vision, machine vision, robotics and AI imaging applications. The new development kit combines poLight’s MLens® tunable lens technology, Sunex […]

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Upcoming Webinar on Building an Object Detection Pipeline

On May 27, 2026, at 10:00 pm PDT (1:00 pm EDT) Intel will deliver a webinar “From Annotation to Deployment: Building an Object Detection Pipeline with Geti, YOLO26, and OpenVINO™” From the event page: Learn from Ultralytics and Intel® AI experts working side by side in this hands-on session and discover how to build production-ready

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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:

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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

Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics Read More +

Upcoming Webinar on Akida Radar Reference Platform

On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join us on 20 April at 8:00 AM PT for an exclusive deep dive into BrainChip’s Radar Reference Platform — bringing

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BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI

LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar

BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI Read More +

e-con Systems Launches STURDeCAM57: A 5MP Global Shutter RGB-IR Camera for In-cabin Monitoring Systems

California & Chennai (March 31, 2026): e-con Systems®, a global leader in embedded vision solutions, launches STURDeCAM57, a 5MP global shutter RGB-IR GMSL2 camera designed to deliver reliable, context-rich vision from day to night for applications such as Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS). This new RGB-IR camera is based on the

e-con Systems Launches STURDeCAM57: A 5MP Global Shutter RGB-IR Camera for In-cabin Monitoring Systems Read More +

Google Pushes Multimodal AI Further Onto Edge Devices with Gemma 4

MOUNTAIN VIEW, Calif., April 2, 2026 — Google has introduced Gemma 4, a new family of open models with open weights that is clearly aimed at bringing more capable AI onto local hardware. Released under the Apache 2.0 license, the Gemma 4 family includes four sizes: E2B, E4B, 26B A4B MoE and 31B Dense. Google

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Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero

We’re excited to announce Intel’s strategic partnership with Google to deliver optimized Gemma 4 models on Intel hardware from day one. This collaboration enables developers to leverage the power of Google’s latest AI models on Intel hardware: Intel® Core™ Ultra processors, Intel® Xeon® CPUs, and Intel® Arc™ GPUs. Developers can create AI applications that run

Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero 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.

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