Data analytics &
artificial intelligence news

Data analytics and artificial intelligence programs and research at U of T Engineering is reshaping processes to improve lives and generate value for people around the world.

Left to right: Sina Bahrami (CivE PhD candidate), Mehdi Nourinejad (CivE PhD 1T7) and Professor Matthew Roorda (CivE) designed an algorithm to optimize the design of parking lots for autonomous vehicles, increasing their capacity by an average of 62 per cent. (Photo: Roberta Baker)

How self-driving cars could shrink parking lots

U of T Engineering researchers find that optimizing for autonomous vehicles could increase the capacity of a parking lot by 62 per cent

Professor Parham Aarabi (ECE) is the CEO and founder of ModiFace, a spin-off company that uses augmented reality (AR) and artificial intelligence (AI) to build advanced facial visualization software for the beauty and medical industries. ModiFace has been acquired by L'Oreal. (Credit: Johnny Guatto)

U of T Engineering spin-off ModiFace acquired by French cosmetics giant L’Oreal

ModiFace uses augmented reality and artificial intelligence to build advanced facial visualization software

Professor Amy Bilton (MIE), left, and recent graduate Ahmed Mahmoud (MIE MASc 1T6) collaborated on a network of portable, low-cost sensors that can provide real-time data on soil moisture and other quantities important for agriculture. (Photo: Tyler Irving)

Data-driven farming: U of T Engineering spin-off develops low-cost sensors for Nepal

Platform developed by Spero Analytics provides real-time data on soil moisture which can be used to improve agricultural productivity

Left to right: U of T Professor Geoff Hinton (Computer Science) and alumnus Matt Zeiler (EngSci 0T9) speak with Kyle Hsu (Year 3 EngSci) at the Engineering Science Education Conference, held January 26, 2018. (Photo: Kevin Zhang)

Get the picture: Q and A with Matt Zeiler, founder and CEO of Clarifai

Startup founded by EngSci alumnus uses artificial intelligence to ‘understand’ photos and video

Robert Adragna (Year 2 EngSci) and Mona Gridseth (UTIAS PhD candidate) work on a sensor array as part of the AutoDrive project, an intercollegiate competition to create a self-driving car. Artificial intelligence and analytics are the focus of two new educational programs set to launch at U of T Engineering next fall. (Photo: Tyler Irving)

U of T Engineering launches new offerings in Machine Intelligence and Data Analytics

Students will learn techniques to help computer programs and robots turn data into insight

Professor Jason Anderson (ECE) at centre, holds an FPGA board with the LegUp team behind him. Left to right, Zhi Li (CompE 1T3), Omar Ragheb (CompE MEng 1T8), Professor Jason Anderson (ECE), Dr. Jongsok Choi (CompE MASc 1T2, PhD 1T6), Dr. Andrew Canis (CompE PhD 1T5), and Ruolong Lian (CompE 1T3, MASc 1T6) are making it easier for software developers to leverage servers based on FPGAs. (Credit: Jessica MacInnis)

U of T Engineering spinoff LegUp Computing secures seed funding from Intel Capital

Company spawned from ECE research on easing development and adoption of reconfigurable computer hardware

Professor Hani Naguib (MIE, MSE), director of the Toronto Institute for Advanced Manufacturing, discusses research into custom composite materials with mechanical engineering students Ali Anwer and Vina Hui. Canada’s new Innovation Supercluster in Advanced Manufacturing, announced today, includes contributions from Naguib and several other U of T Engineering Professors. (Photo: Kevin Soobrian)

Innovation superclusters: Two future-facing ideas from U of T Engineering

Faculty expertise and facilities contribute to high-density research and innovation hubs

Professor Alberto Leon-Garcia (ECE) and his partners aim to use data to improve the efficiency and livability of cities such as Toronto. (Photo: City of Toronto, via Flickr)

Smarter cities: Strategic partnership leverages technology and big data to improve urban environments

Collaboration brings together academia, industry and government to explore how the Internet of Things can make cities work better

In a comment piece published today in Nature, Professor Ted Sargent (ECE) and his co-authors suggest that artificial intelligence and machine learning could be leveraged to speed up the development of sustainable energy technologies. (Photo: Johnny Guatto)

Artificial intelligence can accelerate the race toward sustainable energy technologies

We’ve all heard that artificial intelligence and machine learning are poised to transform our lives with self-driving cars and voice-activated robotic assistants. But these technologies may also be the key to speeding up the development of clean energy —  from better batteries to more efficient solar cells. That’s the argument advanced today in Nature by […]