March Madness is in full swing! For many college basketball fans, a large part of the fun comes in creating a bracket, competing against other fans for bragging rights and of course, winning a little money. Unfortunately, scammers take all the fun out of the tournament by creating false betting websites and pocketing your hard earned cash.
Lookout, the leader in delivering integrated Security, Privacy, and Identity Theft Protection solutions, wants fans to stay safe from potential scams and has listed a few tips that make an impact.
Lookout suggest all be wary when placing bets by doing the following:
Place a bet through a well established and approved services
Do research and ensure the website selected for betting is verified before adding financial information. Confirm with the local gaming commission or the ESPN website about a service that you are unfamiliar with.
Don’t fall for ads
A fan may receive spam text messages and emails claiming to be a legitimate betting service. Don’t fall for the false advertising.
Avoid providing additional personal information when prompted
If a website asks for additional personal information when placing a bet or cashing out do not provide it. Most betting sites will not need your social security number.
Pay attention to the fine print
Read the fine print when finding a service. Any language that presents urgency, limited spots, risk-free betting, or a 100% guarantee is a red flag.
Lookout helps protect your digital information at every level – from the device you hold, to the apps and online services you use and the networks you connect to. Lookout also continuously monitors the internet to ensure what matters to you the most – such as social security and credit card numbers – aren’t exposed. And if anything happens, Lookout’s team of experts and a $1 million identity theft insurance policy are here to back you up.

TELUS & Vector Institute Reduce Climate Impacts & Open Source New Energy Optimization System
Posted in Commentary with tags Telus on March 31, 2022 by itnerdTELUS and the Vector Institute, today announced the launch of the Energy Optimization System (EOS), a timely move that will help reduce operational costs and minimize electricity use in commercial buildings, namely data centres, across Canada. This collaborative development uses model-based reinforcement learning (MBRL) to fine tune the heating, ventilation, and air conditioning (HVAC) systems across network locations, allowing for energy-efficient temperature control.
Annually, an estimated 40 per cent of energy consumed across TELUS network locations is directed towards cooling telecommunications equipment, which is critical to maintaining optimal network performance. TELUS team members collaborated with the Vector Institute to build and test a solution to reduce this number and create a more sustainable use of HVAC equipment in 24/7 data centers.
By optimizing HVAC systems with this new AI technology, it is possible to achieve significant energy savings in data centres and other network locations, reducing the overall environmental impact. Results from a pilot test showed a decrease of almost 12 per cent in reduced annual electricity consumption in a small data centre.
The algorithm also considers the weather forecast to make a decision when to run cooling (either more expensive compressor cooling or less expensive free cooling) or heating to ensure a consistent temperature and better regulate temperatures during shoulder seasons.
TELUS and Vector have elected to open source this new algorithm as a contribution to the energy conservation community, furthering commitments by both tech leaders to leverage AI to create better outcomes for Canadians and our environment.
As a founding sponsor of the Vector Institute, TELUS has committed to using this partnership to advance the AI ecosystem across Canada, producing an economic boost and creating meaningful impacts with technology. As an example of responsible AI, this program is a demonstration of TELUS’commitment to fostering innovation, while increasing trust with our customers by addressing privacy, security, and ethical risks.
To learn more visit: https://github.com/VectorInstitute/MBRL-HVAC-Energy-Optimization
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