The surge in Edge AI applications has propelled the need for architectures that balance performance, power efficiency, and flexibility. Architectural choices play a pivotal role in determining the success of AI processing at the edge, with trade-offs often necessary to meet the unique demands of diverse workloads. There are… Read More
Tag: edge ai
AI Hardware and Edge AI Summit 2024
Why Attend
The combined AI Hardware & Edge AI Summit comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum.
For Enterprise ML Experts: Attend a unique AI systems event that will give you both hardware and software tools and techniques for training, deploying,
Hardware Pioneers Max Summit
The must-attend event for engineering teams and C-level executives who are building the next generation of smart and connected products.
Main topics covered at the show:
– Component shortage challenges and solutions
– Edge AI
– Sensor technology
– IoT security
– FPGA technology
– Ultra-wideband
Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor
Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More
VeriSilicon’s AI-ISP Breaks the Limits of Traditional Computer Vision Technologies
The tremendous growth in edge devices has focused the spotlight on Edge-AI processing for low latency, low power and low-DDR bandwidth compute needs. Many of these Edge-AI applications depend on effective and efficient processing of image and video streams which in turn relies on computer vision technology. In early September,… Read More
CEO Interview: Jay Dawani of Lemurian Labs
Jay Dawani is the co-founder & CEO at Lemurian Labs, a startup developing a novel processor to enable autonomous robots to fully leverage the capabilities of modern day AI within their current energy, space, and latency constraints.
Prior to founding Lemurian, Jay had founded two other companies in the AI space. He is also … Read More
A Flexible and Efficient Edge-AI Solution Using InferX X1 and InferX SDK
The Linley Group held its Fall Processor Conference 2021 last week. There were several informative talks from various companies updating the audience on the latest research and development work happening in the industry. The presentations were categorized as per their focus, under eight different sessions. The sessions topics… Read More
A Packet-Based Approach for Optimal Neural Network Acceleration
The Linley Group held its Fall Processor Conference 2021 last week. There were a number of very informative talks from various companies updating the audience on the latest research and development work happening in the industry. The presentations were categorized as per their focus, under eight different sessions. The sessions… Read More
Enhancing RISC-V Vector Extensions to Accelerate Performance on ML Workloads
During the week of April 19th, Linley Group held its Spring Processor Conference 2021. The Linley Group has a reputation for convening excellent conferences. And this year’s spring conference was no exception. There were a number of very informative talks from various companies updating the audience on the latest research and… Read More
Podcast EP14: AI at the Edge
Dan and Mike are joined by Semir Haddad, senior director of product marketing at Eta Compute and Vineet Ganju, vice president and general manager, low power edge AI business at Synaptics. Semir and Vineet discuss the collaboration between Eta Compute and Synaptics to develop new and innovative solutions for AI applications… Read More