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.

Quantum computing will bring a whole new set of security concerns to the internet — but U of T Engineering advancements in Quantum Key Distribution (QKD) are providing solutions to these emerging challenges. (Creative Commons)

Going the distance with future-proof quantum cryptography

May 22, 2018

Professor Glenn Gulak and team show that error-correction decoding is no longer a computational bottleneck in long-distance Quantum Key Distribution

Zeus, the aUToronto team’s self-driving car, pulls up to the startline at the inaugural competition of the three-year AutoDrive Challenge™ in Yuma, Ariz. (Courtesy: SAE International)

aUToronto team wins first AutoDrive Challenge

May 7, 2018

Three-year international competition challenged eight universities to turn an electric vehicle self-driving by 2020

From left: aUToronto team members Zachary Kroeze (ECE PhD 1T8), Andreas Schimpe, Keenan Burnett (EngSci 1T6+PEY, UTIAS MASc candidate) and Mona Gridseth (UTIAS PhD candidate) in front of their autonomous vehicle, dubbed Zeus . The team is one of eight from universities across North America competing in the international Autodrive Challenge™. (Credit: Laura Pedersen).

aUToronto to compete at international self-driving car competition

April 23, 2018

U of T Engineering student team selected to participate in Autodrive Challenge™ heads to Yuma, Ariz. for first round of three-year competition

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

March 28, 2018

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

March 16, 2018

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

March 9, 2018

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

February 28, 2018

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

February 28, 2018

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

February 22, 2018

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

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Data analytics &artificial intelligence news