Do you have experience in the field of GIS?

If you have worked in GIS between 1970 and 2010, we invite you to share your experiences with us—and the world—by joining Jon Peddie’s Zoom panel on the history of GIS. This panel, for the Siggraph Pioneers, will take place in October. Contact Jon Peddie at [email protected].

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CAD

Jon Peddie on Milestone Moments in the History of CAD

Analyst JPR publishes ebook on the development of modern CAD

Animationcrowdsdeformer nodesimulation

Crowd control with Golaem 9

Includes updated animation engine for improved quality of crowd characters.

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In the mood

Adobe’s Project Concept for mood-boarding.

AI Processors in Wearables Report

May 18, 2026

(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report) Jon Peddie Research’s AI Processors in Wearables report is a supply-side report analyzing the emerging class of SoCs designed for AI inference at the edge. The Wearables in AI report defines the SoCs used in wearables and how they are used. The report also contains information about the companies, their technologies and products, and the approaches each company is taking. SoCs used in wearables are not a replacement for GPUs or NPUs — they are typically highly efficient, low-power chips that sell in medium- to high-volume devices. This JPR report covers the architecture, competitive landscape, and commercial trajectory of wearable SoCs from Whoop 4.0 / 5.0, Fitbit Air, Oura Ring 4, Amazfit Helio, Polar Loop, and Garmin Cirqa.

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FPGAs in AI Report

May 6, 2026

(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report) Jon Peddie Research’s FPGAs in AI report is a supply-side report; it covers the companies building field-programmable chips for AI inference at the edge and in the cloud, and IoTs. The FPGAs in AI report defines FPGA processors and how they are used. The report also contains information about the companies in this segment and their technology and products, as well as the approaches each company is taking. FPGA processors are not a replacement for GPUs or NPUs — they are typically used as test chips and low-volume devices where the time and cost of designing and building an ASIC don’t make sense. The JPR report covers the architecture, competitive landscape, and commercial trajectory of FPGAs for AI chips from Altera/Intel, AMD/Xilinx, Flex Logix, Lattice Semiconductor, and QuickLogic.

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Neuromorphic AI Processors Report

April 28, 2026

(Buyer will receive $300 coupon, good for 90 days, toward any other JPR AIP report) Jon Peddie Research’s Neuromorphic AI Processors report is a supply-side report; it covers the companies building neuromorphic compute processors. The Neuromorphic AI Processors report defines neuromorphic AI processors and how they are used. The report also contains information about the companies in this segment and their technology and products, as well as the approaches each company is taking. The broad neuromorphic landscape divides into three main categories. Digital SNN processors implement spike-based computation using CMOS logic. Analog and mixed-signal designs process signals in continuous domains to improve efficiency. A third group adopts neuromorphic principles without relying on spike timing, instead using digital, analog, or photonic methods to accelerate AI workloads.

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Do you have experience in the field of GIS?

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