“One of the most challenging AI technologies for security teams is a very new class of algorithms called generative adversarial networks (GANs). In a nutshell, GANs can imitate or simulate any distribution of data, including biometric data.
To oversimplify how GANs work, they involve pitting one neural network against a second neural network in a kind of game. One neural net, the generator, tries to simulate a specific kind of data and the other, the discriminator, judges the first one’s attempts against real data — then informs the generator about the quality of its simulated data. As this progresses, both neural networks learn. The generator gets better at simulating data, and the discriminator gets better at judging the quality of that data. The product of this “contest” is a large amount of fake data produced by the generator that can pass as the real thing.
GANs are best known as the foundational technology behind those deep fake videos that convincingly show people doing or saying things they never did or said. Applied to hacking consumer security systems, GANs have been demonstrated — at least, in theory — to be keys that can unlock a range of biometric security controls.”
- “The Seattle company today announced that team ChaNJestimate — whose members include Chahhou Mohamed, Jordan Meyer, and Nima Shahbazi, hailing from Morocco, the U.S., and Canada, respectively — will take home the $1 million prize for a model that bested the Zillow “Zestimate” benchmark by approximately 13 percent. (The Zestimate’s nationwide error rate is 4.5 percent; the team’s work pushes it to below 4 percent.)
- To achieve this new level of accuracy, team ChaNJestimate leveraged deep neural networks — layers of mathematical models modeled after neurons in the brain — and other machine learning techniques to “directly” estimate home values
- Currently, the Zestimate is within $10,000 of a given home’s sale price, and Zillow expects the improvements could bring it $1,300 closer to the actual price.”
“Retailers can use AI to reduce losses resulting from error, faulty processes and intentional fraud. According to the 2018 National Retail Security Survey from the National Retail Federation, more than 50% of retail shrink (the difference between actual on-hand inventory and the inventory level recorded in the computer system) was due to employee theft or paperwork errors. These types of losses leave a data trail that can be detected through data analytics. Typically, retailers use an exception reporting system to detect shrink, but I believe using a system with AI models built in could yield far better results.”
“To date, Android phone makers who’ve wanted to include face recognition have had to craft their own secure solutions or else use basic face detection that you can fool with a photo. Soon, however, it might be relatively commonplace. Sleuthers at XDA and 9to5Google have discovered code in an early Android Q version that hints at native support for hardware face recognition. It wouldn’t just be used for signing into your phone, either, as it could also authorize purchases and sign into apps. It would largely be a parallel to the Face ID system found in Apple’s more recent iPhones, just with more flexibility.”
eCommerce/vending machine capability enables users to buy and sell solutions and services on the Digital Exchange (DX) making it a true eCommerce site. Technology partners, developers and anyone who has a best of breed AI or cognitive solution can join the Blue Prism DX community to market and sell on it.
Blue Prism Digital Exchange (DX) 2.0: A growing online community that provides business leaders with drag and drop access to AI, machine learning, cognitive and disruptive technologies. Since launching late last year, the DX has managed more than 1,000 registered users, 300 registered companies and more than 1,000 downloads of top assets enabling access to the technologies of strategic partners IBM, Microsoft and Google. The DX has new search capabilities as well as giving users the ability to rate and comment on assets.
- “The future of AI was a main topic at Davos this week, but it was also on the mind of Rep. Alexandria Ocasio-Cortez (D-N.Y.), a woman quickly becoming the most popular freshman Congresswoman in recent memory.
- According to a Brookings Institution report out this week, AI will create some jobs and disrupt many others, disproportionately affecting certain occupations (production, food services, transportation), cities (Toledo, Ohio; Fresno, California), states (Indiana and Kentucky), and segments of the population (men, people of color, and people with no bachelor’s degree).”
“The world of “The Jetsons” is becoming closer and closer to reality. Advancements in artificial intelligence could soon change the way we eat, shop, and even get around. One of those products is Caper, an A.I. powered shopping cart. Lindon Gao, CEO of Caper, talked to Cheddar about how the company is getting grocery stores on board.”
1 1. Natural Language Generation
2 2. Speech recognition
3 3. Machine Learning Platforms
4 4. Virtual Agents
5 5. Decision Management
6 6. AI-Optimized Hardware
7 7. Deep Learning Platforms
8 8. Robotic Process Automation
9 9. Text Analytics and NLP
10 10. Biometrics
Photo Credit : Shutterstock
- “With an increased digital consumption the world is creating massive amounts of data on a daily basis. According to Domo’s Data Never Sleeps 5.0 report, there are 2.5 quintillion bytes (1 million terabytes) of data created each day! And it is estimated that a staggering 1.7MB of data will be created every second for every person on earth by 2020.
- Ad fraud is so rampant that nearly 30% of the ad budget lay waste owing to such fraudulent activities. Seemingly impossible for humans, AI can keep an eye on the bots in real time to find fraudulent patterns.
- The changes that AI has brought and will bring in digital marketing are huge. The AI market in digital marketing is set to grow at a compounded annual growth rate of around 30% globally to reach USD 40.09 billion by 2025, according to estimates by Markets&Markets. This growth will be fuelled by Asian giants such as China, India, Japan, and South Korea.”
“Absa is implementing artificial intelligence (AI) to help customers change banks in South Africa.
According to Absa’s CIO Jacques Barkhuizen, this is a “world first” and any customer from any bank in South Africa can go to the app and get this feature.
He says the process takes under seven minutes, and it will automatically change all of the customer’s beneficiaries from the external bank to Absa.
The process is fully automated, “with key elements on the back driven by AI”.
It is understood that this service is only available for retail customers.
Absa was previously Barclays Africa. Its chat banking service also recently introduced Whatsapp messaging.”