Get some huge savings on all your favorite electronics, like a new Kindle or robot vacuum. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. You know that scene in 30 Rock when Liz Lemon is like "What a week, huh?" and Alec Baldwin's character goes, "Lemon, it's Wednesday." I happen to know a great cure to the Hump Day blues however, and it involves doing a bit of retail therapy. I don't just recommend buying a bunch of stuff you don't need at Target or on Amazon.

Deepfakes are video manipulations that can make people say seemingly strange things. Barack Obama and Nicolas Cage have been featured in these videos. Facebook's misinformation policies are being put to the test. A deepfake video of CEO Mark Zuckerberg recently surfaced on Facebook-owned Instagram, and reportedly the social networking site has chosen to leave it up, for now. The video appears to show Zuckerberg saying things he never actually said.

In pop culture, the combination of business interests and artificial intelligence is something to be feared. It brings to mind Skynet, the malevolent neural network from the Terminator movies that goes to great lengths to destroy its human makers. The reality is different, though. We take advantage of it every time we check out new products recommended by Amazon.com, We have fun with it when we browse Netflix, which uses AI to predict what viewers might like to watch next. We're also increasingly likely to encounter it at work, since businesses of all types are finding ways to use it in industrial, retail, and service operations.

This major centre-wide'festival-style' exhibition explores creative and scientific developments in AI, demonstrating its potential to revolutionise our lives. Bringing together artists, scientists and researchers, this interactive exhibition offers an unprecedented survey of AI with which you are invited to engage head-on. Experience the capabilities of AI in the form of cutting-edge research projects by DeepMind, Massachusetts Institute of Technology (MIT) and Neri Oxman; and interact directly with exhibits and installations from artists including Mario Klingemann, Massive Attack, Es Devlin and teamLab to experience the possibilities first-hand. Prepare for your preconceptions of AI to be challenged by this timely exhibition, that reflects on how this technology impacts our very existence.

In the following, I share the key learnings of the webinar. AI is not a secret sauce and requires lots of good data to create real value. Companies need to first separate the hype from the actual capabilities of AI, defining what AI means for them and how it might create value. Moving an entire company towards the adoption of AI is a challenging task and needs lots of educational effort. AI is not the solution to all problems. Building products do not start with thinking about AI but finding a meaningful problem that once solved adds value for the customer or user.

A Stanford University team is now using artificial intelligence to improve detection of aneurysms. Those are bulging blood vessels in the brain that can leak or burst. The new tool, called HeadXNet, highlights areas of a brain scan most likely to have an aneurysm.

Every field has people working behind the scenes,

When Hima Patel was in her third year of computer science engineering at Sardar Patel University in Gujarat, a professor of hers gave her a book on artificial neural networks. "I was a good student. The book was not part of our curriculum, but the professor thought I might like it," recollects Hima. It took time to fully understand the book. But at the end of it, she loved it.

Object recognition algorithms sold by tech companies, including Google, Microsoft, and Amazon, perform worse when asked to identify items from lower-income countries. These are the findings of a new study conducted by Facebook's AI lab, which shows that AI bias can not only reproduce inequalities within countries, but also between them. In the study (which we spotted via Jack Clark's Import AI newsletter), researchers tested five popular off-the-shelf object recognition algorithms -- Microsoft Azure, Clarifai, Google Cloud Vision, Amazon Rekognition, and IBM Watson -- to see how well each program identified household items collected from a global dataset. The dataset included 117 categories (everything from shoes to soap to sofas) and a diverse array of household incomes and geographic locations (from a family in Burundi making $27 a month to a family in Ukraine with a monthly income of $10,090). The researchers found that the object recognition algorithms made around 10 percent more errors when asked to identify items from a household with a $50 monthly income compared to those from a household making more than $3,500.

Deep fakes are "videos that have been constructed to make a person appear to say or do something that they never said or did. Many commentators worry that voters will be influenced by pure fiction: As the 2020 US election looms, we learn of the fight to stay ahead (CNN, April 26, 2019) of the "growing threat" (ABC Eyewitness News, May 7, 2019) because "The 2020 campaigns aren't ready for deepfakes" (Axios/HBO, June 4, 2019). We Can No Longer Believe What We See, the New York Times warned yesterday. Under the right set of circumstances, deepfakes will be very influential. They don't even have to be particularly good to potentially swing the outcome of an election. As with so much in elections, deepfakes are a numbers game. While the presence of tampering in all but the most sophisticated deepfakes can be quickly identified, not everyone who views them will get that message. More fundamentally, not everyone wants to get that message. As can occur with other forms of online ...