ChatGPT: Power, Bias & Impact
By Yasmin Ranade
AI chat is a disruptor, and its value and biases have just begun to be understood.
By Yasmin Ranade
AI chat is a disruptor, and its value and biases have just begun to be understood.
Christine Persaud
There has been lots of talk about the AI chatbot ChatGPT of late, coming from various angles. Some believe the service, created by OpenAI, poses a threat to journalism, coding, and other similar industries. But there’s another angle to ChatGPT: as a search engine
By Yasmin Ranade
Since 2016, Big Data and AI Toronto has served the data ecosystem by providing a unique platform for IT decision-makers and data innovators to explore and discuss insights, showcase the latest innovative projects, and connect with the best and brightest minds in the industry.
By Yasmin Ranade
Knowledge Society (TKS) is a 10-month, global innovation program for driven and curious students aged between 13-17. Acceptance into the Calgary-born program, which is modelled after learning environments from Stanford, Harvard, and MIT, is rigorous and only those youth that want to make an impact in the world are selected
By Yasmin Ranade
Waterloo-based Maplesoft, provider of mathematics-based software to STEM educators, researchers and engineers, has launched Maple Learn, a free, online learning tool to make it easier for students and researchers to analyse and solve mathematical problems. It is also cool to note that this software is powered by the world’s most powerful mathematics engine, which is used by NASA and the Canadian Space Agency.
By Yasmin Ranade
Entrepreneurs are seeking digital solutions that help them to thrive as largely virtual businesses these days, and to eliminate barriers for international work. One such business is Prioris.ai, an Ottawa-based consulting firm and international AI-lab, which builds predictive models for the life science industry.
by Lee Rickwood
The plan worked, but somewhat ironically: an AI system identified a humanoid-like figure that human researchers had been unable to see.
by Lee Rickwood
The decentralized nature of the blockchain and the almost continual validation of ledger activities through algorithmic processing requires a lot of computational horsepower and data transmission throughput.