Welcome to Deeplite's blog! A place to discover helpful content on computer vision and perception model optimization, inference acceleration, tinyML and other topics related to achieving smaller, faster and more cost-efficient AI to run on edge devices and in the cloud.
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.
Welcome back to the DNN model optimization series! Our recent paper on Deeplite’s unique optimization software, Neutrino™, won the “Best Deployed System” award at Innovative Applications of Artificial Intelligence 2021. For this occasion, we decided to dedicate this issue of the DNN model...
Two tremendous innovation movements are happening in the edge device industry today that we at Deeplite find particularly fascinating. What are they? That is, of course, the rise of deep learning and the RISC-V computer architecture progress!
Andes Technology and Deeplite Inc. are excited to announce the latest results in their partnership for AI-powered applications using Deeplite’s unique optimization software and Andes’ low-power Andes RISC-V CPU cores.
Montreal, November 24, 2020 - In a new report on emerging technologies, the technology research and advisory company Gartner named Deeplite as one of twelve “Edge AI Tech Innovators for 2020.”
The report aims to identify “emerging providers of Edge AI value” with “AI-based or AI-enabling...
Deeplite is highlighted in Forbes!
Big thanks to Rob Toews from Highland Capital Partners for including us in his article on the Biggest Trends in AI. Deeplite is mentioned in the network compression section, among other promising startups focused on getting AI out of the lab, into real-life...
Built in academia and accelerated to market with the help of business giants, the field of AI has been developing fast and triggered a lot of hype. It was forecasted that AI will power innovation in many domains, from search engines and voice assistants to facial-recognition and...
As discussed in our previous blog post, compressing large deep learning models will pave the way for many new AI applications and enable AI to assist our everyday lives. This makes model compression a hot research area, provoking multiple intense online discussions, including many blogs and media...
Right from the start, Deeplite’s mission has been to make AI deep neural networks faster, smaller and more energy-efficient. We want to enable AI for everyday life on any device and in the cloud. tinyML® Foundation is focused on bringing together embedded hardware, software, and machine learning...
Montreal, Canada – September 23, 2020 – Montreal-based AI startup Deeplite, Inc, announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence (AI), with a strong focus on deep learning optimization to enable AI/ML in the cloud and at...
At Deeplite, we believe that AI (Artificial Intelligence) is here to enhance the way we interact with things that we use to create a better life. From a drone inspecting terrain or a camera looking for defects in manufacturing materials to your phone...
Curious to see how Deeplite's AI optimization software helped ARM enable visual inspection at the edge for smart manufacturing? Read ARM and Deeplite's recent blog post about unlocking AI on Arm Microcontrollers with Deep Learning Model optimization.
Today Deeplite was recognized by CB Insights 2020 AI100 List of Most Innovative AI Startups! We are honoured to be on this prestigious list of global companies. A big shout out to our world-class team and partners who are shaping the future of accessible and affordable AI!
We are incredibly excited to team up with BlackBerry QNX, the real-time operating system in over 150 million vehicles, and L-SPARK, Canada’s largest SaaS accelerator!
Andes Technology, a leading Asia-based supplier of high-performance low-power compact 32/64-bit RISC-V CPU cores and a founding Platinum member of the RISC-V Foundation, and Deeplite, Inc. today announced the results of their joint collaboration to deploy highly optimized deep learning models on...
Canadian Innovation Exchange (CIX), Canada's largest curated startup investment conference, has announced their Top 20 Early Stage startup for 2019. Deeplite is beyond proud to be recognized as a top 20 startup, thanks to our tremendous team, partners and collaborators who made this possible!
Deeplite, Inc. today announced the appointment of successful Canadian technology entrepreneur Nick Romano as President and CEO. After being spun out of TandemLaunch, a company creator and seed fund, the appointment of Mr. Romano is an important step towards the full-scale commercialization of...
Ten young alumni entrepreneurs were selected to discuss what it takes to succeed as an entrepreneur today with two of Concordia’s leading professionals in the field of innovation.
Startup Canada has announced all the regional winners of its annual awards at ceremonies that took place in Whitehorse, Vancouver, Edmonton, Mississauga, Montreal and Fredericton.
Deeplite and PowerArena are two energetic and visionary startups that look forward to maximizing on Deep Learning and Artificial Neural Networks in a broad global market. Both startups exhibited at CompuTEX Taipei 2019.
Garage+, a Taipei-based startup incubator and accelerator with Taiwanese tech companies such as Quanta Computer, Acer, Logitech and MediaTek, announced their 8th cohort of international startups to visit Taipei for the COMPUTEX Conference.
Startups from 17 nations have applied to join the MobilityXlab innovation hub for the autumn period 2019. The aim is to create the future of mobility together with MobilityXlab’s partners CEVT, Ericsson, Veoneer, Volvo Cars, Volvo Group and Zenuity at Lindholmen Science Park in Sweden.
XILINX fosters a quick start program to enable companies to accelerate products and services for FPGAs in the cloud. Target workloads include data analytics, genomics, video processing, machine learning, financial technology, security and storage.
The emergence of deep learning and AI technologies on mobile and embedded devices has created exciting new possibilities for applications such as detecting cancers, self-driving cars and smart homes.