UP launches the Xtreme ARL AI Development Kit, combining 83 TOPS of edge AI performance with industrial-grade design — empowering developers to seamlessly scale from prototype to production.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
Berkeley Artificial Intelligence Research
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The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC...
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Arduino unveils the UNO Q — a powerful new board merging a Qualcomm MPU, and announces acquisition by Qualcomm, marking a bold next chapter in edge AI.
Discover key differences in GDDR6 vs GDDR6X memory: compare bandwidth, power efficiency, signaling methods, and design trade-offs for advanced GPU architectures.
How a no-code TinyML platform and a leading low-power wireless chipset maker joined forces to push AI into the edge in just a few kilobytes.
In this article, we'll explore how three edge AI architectures; robotics, system-on-modules (SoMs), and medical devices, are driving this shift, and how MRAM and FeRAM are enabling smarter, more resilient memory at the edge.
To bring AI into the real world, we often need a "bridge" to close the gap between those giant machines and the cameras and robot arms on the production line. At Matroid, we call these "AI Edge Compute Units".
event | SEP 23 - SEP 24, 2025
Join industry leaders to discover the latest in Edge, IoT, LoRaWAN, Cellular IoT, AI at the edge, and energy harvesting.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
Inside Axelera AI's Titania Initiative
This guide outlines the key steps to designing, optimizing, and deploying AI at the edge, followed by a look at how purpose-built edge AI toolchains can support and streamline this process.
The collaboration between AI and robotics enables robots to implement tasks more effectively and handle complications previously beyond their capacities.
To empower intelligence at the edge, smart and highly integrated driver solutions are required for electromechanical actuators.
Combining AI with edge computing will drive real-time decisions in intelligent, autonomous machines.
Watch the full webinar on demand now.
Wevolver spoke with John Weil, Vice President of IoT and Edge AI Processor Business at Synaptics, to understand the challenges of bringing AI to the edge, how the Synaptics Astra™AI Native platform enables cognitive computing in real-world devices, and what the future holds for edge intelligence.
