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Algorithms & Models

Upcoming Webinar on Building Your First Real-World AI Tool

On May 21, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “What It Takes to Build Your First Real-World AI Tool” From the event page: Most AI talks focus on what’s possible. This one shows how to actually use AI in product development, even if you’re just getting started. In

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AMD

AMD Silo AI and University of Bologna Start Spatial AI Collaboration for Robotics and Autonomous Driving

The research collaboration will focus on building geometry-aware perception modules on the AMD ROCm™ open software stack AMD Silo AI and University of Bologna through its Department of Computer Science and Engineering (DISI) are starting a research collaboration to bring explicit 3D geometry into the Vision Language Action (VLA) and world-model pipeline for robotics and

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News

Google Research and Synaptics Partner to Showcase Immersive Edge AI Experiences Powered by the Coralboard at Google I/O 2026

San Jose, CA, May 19, 2026 – Synaptics® Incorporated (Nasdaq: SYNA) and Google Research will spotlight Edge AI use cases on the recently announced Synaptics Coralboard™ at Google I/O 2026. The Coralboard is designed to help developers move faster from prototyping to real-world Edge AI product development. Powered by the Synaptics Astra™ SL2610 product line with the Synaptics Torq™ NPU and Coral NPU

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Market Analysis

Blog Posts

Key Trends Shaping the Semiconductor Industry in 2026

This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC.   The hardware boom is slowing down. What comes next is a software, power, and inference problem—and most of the industry isn’t ready for any of it. AI chips are now 0.2% of all chips manufactured, but

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Market Analysis

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

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Consumer

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

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Blog

Aerospace and Defense

How Customized Single-board Computers Increase the Profitability of Embedded Vision Systems

This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Artificial Intelligence is one of the defining technological trends of this decade. In particular, vision-based AI applications, where camera data is processed directly on the edge, are gaining rapid momentum. Embedded Vision systems are the backbone of these

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Blog Posts

The Next Frontier in AI Is Not Just Reasoning. It Is Knowing When to Look Again

Why AI Metacognition Requires Hierarchical Random-access Data   This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. Executive Summary (TL;DR) Today’s AI systems can reason impressively, but they still struggle to know when to look again. Humans use metacognition as a feedback loop between thought and perception:

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Blog Posts

ChiPy: Bridge Neural Networks and C++ on Silicon — Full Inference Pipelines with Zero CPU Round-Trips

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. The ChiPy DSL is Quadric’s Python framework for building complete on-chip pipelines. Using YOLOX-M as a case study, we show how backbone inference, box decoding, and NMS run entirely on the Chimera GPNPU — no host CPU intervention,

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