Humanoid Robots 2026-2036: Technologies, Markets, and Opportunities

Market Analysis, Robotics /

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 […]

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Google Pushes Multimodal AI Further Onto Edge Devices with Gemma 4

Algorithms & Models, News /

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

Algorithms & Models, Intel, News, Processors, Software, Tools /

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

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See How ams OSRAM Revolutionize Optical Solutions with the Help of Cadence Tools

Cadence, Medical, Processors, Videos /

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

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The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge

Algorithms & Models, Blog Posts, Processors, Quadric /

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. After years of cloud-centric inference, AI is moving to the edge. The “Goldilocks zone” of 3B to 30B parameter models is delivering GPT-4-class performance on smartphones, automotive systems, and industrial equipment — and creating an acute challenge for

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Edge AI and Vision Insights: April 1, 2026

Edge AI and Vision Alliance, Newsletters /

  LETTER FROM THE EDITOR Dear Colleague, This issue highlights two practical themes in edge AI: data foundations for AI and safety-critical edge AI. Across these articles, a common engineering lesson emerges: building successful systems requires not just strong models, but disciplined work on the data pipeline and careful design for safe operation in demanding

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Evaluating Waveguide Technologies for AR Smart Glasses

Consumer, Market Analysis, Sensors and Cameras /

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

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Inside the Intelligent Mobile Camera Powered by Exynos 2600 VPS

Algorithms & Models, Blog Posts, Processors, Samsung Semiconductor /

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Until recently, the evolution of mobile cameras has been centered on the image sensor and the image signal processor (ISP). In this conventional architecture, the image sensor converts light into electrical signals, while the ISP corrects

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Smart Home Connectivity: Trends, Challenges and the Role of Next-Gen IoT Technology

Blog Posts, Consumer, Synaptics /

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,

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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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