This blog is a summary of the research paper Sah, Sudakar, et al. "ActNAS: Generating Efficient YOLO Models using Activation NAS", accepted at the NeurIPS 2024 FITML Workshop. 

In the ever-evolving field of computer vision, the YOLO family of models has set benchmarks for real-time object...

This blog is a summary of the research paper Sah, Sudakar, et al. "Token Pruning using a Lightweight Background Aware Vision Transformer", accepted at the NeurIPS 2024 FITML Workshop. 

In the realm of computer vision, Vision Transformers (ViTs) have emerged as a powerful tool, outperforming...

This blog is a summary of the research paper Sah, Sudakar, et al. "MCUBench A Benchmark of Tiny Object Detectors on MCUs." Proceedings of the IEEE/CVF European Conference on Computer Vision 2024, accepted at the ECCV 2024 CADL Workshop.  You can find the CADL Workshop presentation here.  

In the...

We are thrilled to announce that Deeplite has been selected to join the prestigious 2024 Google for Startups Accelerator: Canada cohort! This exciting opportunity marks a significant milestone in our journey to accelerate the adoption of AI processors for embedded devices by creating the best AI...

The rapid advancements in AI have revolutionized various industries, promising enhanced productivity and innovation. However, deploying AI models on AI processors presents significant challenges, impacting the sales of these processors. This blog explores these challenges and how semiconductor...

Exciting news! We are thrilled to unveil the latest hardware benchmarks for the cutting-edge Raspberry Pi 5 featuring the Arm Cortex A76 processor @ 2.4GHz. Dive into the comparison between the Raspberry Pi 5 and 4 models, as well as other edge hardware platforms, using the powerful YOLOBench tool.

This blog is a summary of a Medium article that you can find here.

We are excited to release YOLOBench, a latency-accuracy benchmark of over 900 YOLO-based object detectors for embedded use cases. Accepted at the ICCV 2023 RCV workshop, you can read the full paper on arXiv.

Check out the...

The proliferation of edge devices has unlocked unprecedented opportunities for deep learning model deployment in computer vision applications. However, these complex models require considerable power, memory and compute resources that are typically not available on edge platforms. Ultra low-bit...

We were honored to team up with BlackBerry QNX, the real-time operating system in over 200 million vehicles, and L-SPARK, Canada’s largest SaaS accelerator for the BlackBerry IVY Accelerator program!

Recently, Deeplite CEO Nick Romano sat down with CyberNews, a resource for cybersecurity news, tech analysis and product reviews, to discuss Deeplite, the AI industry and what he thinks is coming for the future of AI.

We were pleased to announce earlier this week that Deeplite was crowned as a Silver Stevie winner in the 2022 International Business Awards, in the Artificial Intelligence/Machine Learning Solution category. The team was thrilled to receive this honor and get recognition for Deeplite Neutrino and...

Deeplite’s AI optimization solutions honored with Silver Stevie® award

We are incredibly excited to again team up with BlackBerry QNX, the real-time operating system in over 200 million vehicles, and L-SPARK, Canada’s largest SaaS accelerator!

Here at Deeplite, we've been enjoying a number of opportunities to safely talk about the work we are doing, in person! Through a number of recent industry trade shows, we've been able to promote our solutions and how we are making AI accessible across a wide range of edge devices.

Earlier this month, we participated in the annual Accelerating AI Workshop that highlighted the challenges and opportunities of AI acceleration from the cloud to the edge. Every year, this event brings together experts from across the industry and academia to share the latest trends and...

Deeplite has been on the road this past month! From March 22-25 we enjoyed ISC West in Las Vegas, checking out the latest and greatest in security and surveillance technology, and how computer vision AI could help accelerate current innovations.

DeepliteRT allows customers to utilize existing Arm CPUs for computer vision at the edge 

while delivering GPU-level performance

First, let's make something clear... A case can easily be made for either TensorFlow or PyTorch, depending on your situation. The internet is full of articles pitting each of these AI frameworks against each other, but there are far fewer articles about companies explaining why they chose one over...

Former Red Hat senior executive to bring experience in platform commercialization and open-source software to edge AI optimization startup

Words can have multiple meanings. As a result, people involved with adjacent areas of the technology industry often misunderstand each other, even when using the same terms. Each group has its own frame of reference, history and technical domain expertise.

In particular, areas of technology...

The Deeplite team is stoked to announce our partnership with IMT-Atlantique, a top university and research institute in Nantes, France! This partnership gathers Associate Professor of Electronics Dr. Mathieu Léonardon and his AI algorithms expertise with Deeplite's research team to develop novel...

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Free Version of Leading AI Optimization Engine Helps Accelerate Deployment of AI Models and Neural Networks by Engineers, Researchers and Academics

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Are you looking to enable machine vision while saving on digitalization and manufacturing costs? Implementing AI in smart manufacturing can be transformational to your business, but it can also be challenging to achieve!

Canadian organizations initiate strategic partnership for research and development on next-generation AI-powered products and solutions.