Saideep Tiku, Principal System Architect at Micron presents “Roads to Robots: How Generative AI Is Redefining Memory and Storage for Embodied AI” at the May 2026 Embedded Vision Summit. Generative AI has accelerated the automation of complex digital tasks, and now multimodal perception and reasoning make embodied AI the next… “Roads to Robots: How Generative […]
Nicolas Widynski, AI Fellow at Lattice Semiconductor presents “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints” at the May 2026 Embedded Vision Summit. This session explores practical strategies for deploying computer vision AI on far-edge devices under strict resource constraints. While highlighting FPGA-specific strengths, such as… “Efficient Computer Vision at the
This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. Creating an AI System-on-Chip (SoC) today resembles conducting a thousand musicians playing different melodies at once; each note, or data stream, must align perfectly. As AI workloads become increasingly complex, prototyping these SoCs on FPGA (Field Programmable
Scalable FPGA Prototyping for AI SoCs: Handling Massive Parallelism and Bandwidth Read More +
This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. If it feels like robots are evolving faster than ever, that’s because they are. We’re watching an industry shift in real time, from factory floors to warehouses to emerging humanoid systems, all powered by advances in
The rise of smarter robots and why memory is becoming their superpower Read More +
On April 16, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Remembering to Forget: Agentic Memory Systems and Context Constraints” From the event page: As AI agents evolve from stateless responders into persistent, goal-directed systems, memory has become a central design challenge. The question is no longer just what agents
Upcoming Webinar on Agentic Memory Systems Read More +
This blog post was originally published at Micron’s website. It is reprinted here with the permission of Micron. Let’s first discuss the power of enabling. Enabling a wide electronic ecosystem is essential for fostering innovation, scalability and resilience across industries. By supporting diverse hardware, software and connectivity standards, organizations can accelerate product development, reduce costs and
The Forest Listener: Where edge AI meets the wild Read More +
This market analysis was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. As hyperscale data centers rewrite the rules of the memory market, shortages could persist until 2027. Strong server DRAM demand for AI data centers is driving memory prices higher throughout the market,
Why DRAM Prices Keep Rising in the Age of AI Read More +
A funny thing is happening in the edge AI world: some of the most important product decisions you’ll make this year won’t be about TOPS, sensor resolution, or which transformer variant to deploy. They’ll be about memory—how much you can get, how much it costs, and whether you can ship the exact part you designed
When DRAM Becomes the Bottleneck (Again): What the 2026 Memory Squeeze Means for Edge AI Read More +
ANN ARBOR, Mich., Dec. 26, 2025 (PRNewswire) — MemryX Inc., a company delivering production AI inference acceleration, today announced its strategic roadmap for the MX4. The next-generation accelerator is engineered to scale the company’s “at-memory” dataflow architecture from edge deployments into the data center, leveraging 3D hybrid-bonded memory to eliminate the industry’s most pressing bottleneck: the “memory wall.” MemryX is
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