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.
Knowles Corporation
Electrical and Electronic Manufacturing
As a market leader and global supplier of advanced micro-acoustic microphon...
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Axelera AI
Semiconductor Manufacturing
Creating a powerful, efficient, and competitive AI-native hardware & softwa...
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The Linley Group
Semiconductors
The Linley Group is the leading vendor of technology analysis on AI, networ...
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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.
Researchers blend theoretical insight and precision experiments to entangle photons on an ultra-thin chip
3 minutes read
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.
