Cloud-based Business Intelligence (BI) platform DrivenBI has added support for Autodesk AutoCAD to its data preparation utility tool. The company says adding AutoCAD integration as part of its service “allows CAD designs to connect directly to business data,” so that information from project drawings becomes instantly part of the dashboard service. DrivenBI says this is the first such integration of its type. “It can have enormous applicability in a variety of markets,” says Ben Tai, CEO of DrivenBI. “Integrating BI and AutoCAD can have immeasurable influence on the future of warehousing, material handling, logistics and the science of arranging space.”
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The Wearables in AI report defines the SoCs used in wearables and how they are used.
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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.
FPGAs in AI Report
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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.
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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.
Neuromorphic AI Processors Report
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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.