New Web Browsers Promise Data Safety, Personal Security, Internet Control
by Lee Rickwood
We need more and more tools to keep our information safe in an environment that was supposed to make information open, available and accessible.
by Lee Rickwood
We need more and more tools to keep our information safe in an environment that was supposed to make information open, available and accessible.
by Lee Rickwood
Open source software concepts; quality control mechanisms; licensing and regulatory standards; industry peer review mechanisms and even product recall provisions for AI-enabled products and services must be considered.
by Lee Rickwood
A new Canadian tech report says the large-scale collection and sale of user private data has grave implications for our online safety, security and protection.
by Lee Rickwood
Facial recognition is bringing new ways to collect demographic information about each and every one of us by linking visual imagery with existing datasets of shopping habits, personal preferences, stated opinions and more.
Leading privacy advocates and technology analysts say Toronto should smarten up: it is at risk of becoming a city of surveillance. They are worried about plans for urban redevelopment along the city’s eastern waterfront, and a new techno-enabled community to…
by Lee Rickwood
One of the newer threats to any connected device or valuable stash of data is cyber extortion, where a hacker gains control of someone’s computer or connected device and holds it – and the data it contains – for ransom.
by Lee Rickwood
There’s an identified need for education, awareness and informative case studies about AI and machine learning to help government (and others) understand the risks and rewards of deploying artificial intelligence.
By Yasmin Ranade
The Deep Learning Summit is returning to Toronto from October 25 – 26, 2018 and will cover the latest advancements in deep learning technology. The first ever AI for Government Summit, another event stream, will provide a unique opportunity to interact with government bodies, policymakers, strategists and directors of innovation to explore the use of machine learning to increase efficiency, reduce costs and meet the high demands of the public sector.