1. Prepare for the Deepfake Era of Web Video

It has always been good advice to take what you see on the internet with a pinch of salt, but online video has lately become even less trustworthy. Deepfakes, clips altered or fabricated with an artificial intelligence technique called machine learning, make alternative realities easier to create and disseminate.

Author: Tom Simonite

Read More On: Wired

2. Big data reveals extraordinary unity underlying life’s diversity

From microscopic algae to elephants, life has devised countless ways to thrive in every environment on the planet. But while biologists have tended to focus on the many varied forms that species have evolved, the age of Big Data offers an unprecedented view of some surprisingly common features shared by all creatures great and small.

Read More On: Phys.Org

3. AI Medical Service raises $42.9 Series B for AI-based software that checks endoscopy scans for signs of cancer

AI Medical Service, a Tokyo-based company developing AI-based software to help detect gastric cancer, announced today that it has raised a $42.9 million Series B. Investors include Globis Capital Partners, World Innovation Lab and Sony Innovation Fund by IGV.

Author: Catherine Shu

Read More On: TechCrunch

4. Using machine learning to hunt down cybercriminals

Hijacking IP addresses is an increasingly popular form of cyber-attack. This is done for a range of reasons, from sending spam and malware to stealing Bitcoin. It’s estimated that in 2017 alone, routing incidents such as IP hijacks affected more than 10 percent of all the world’s routing domains.

Author: Adam Conner-Simons

Read More On: MIT News

5. Blind Spots in AI Just Might Help Protect Your Privacy

Machine learning, for all its benevolent potential to detect cancers and create collision-proof self-driving cars, also threatens to upend our notions of what’s visible and hidden. It can, for instance, enable highly accurate facial recognition, see through the pixelation in photos, and even—as Facebook’s Cambridge Analytica scandal showed—use public social media data to predict more sensitive traits like someone’s political orientation.

Author: Andy Greenberg

Read More On: Wired

6. A.I. musicians are a growing trend. What does that mean for the music industry?

The most prolific musical artists manage to release one, maybe two, studio albums in a year. Rappers can sometimes put out three or four mixtapes during that same time. However, Auxuman plans to put out a new full-length album, featuring hot up-and-coming artists like Yona, Mony, Gemini, Hexe, and Zoya, every single month. How? The power of artificial intelligence of course.

Author: Luke Dormehl

Read More On: Digital Trends

7. Tiny AI models could supercharge autocorrect and voice assistants on your phone

Who’s counting?In October of last year, for example, Google released a model called BERT that passed a long-held reading-comprehension benchmark in the field. The larger version of the model had 340 million data parameters, and training it just one time through cost enough electricity to power a US household for 50 days.

Author: Karen Hao

Read More On: MIT Technology Review

8. Meet Vise AI, the startup reimagining portfolio management

The founders of Vise AI met when they were 13, a couple of teenagers more interested in applied artificial intelligence than English class. Fast-forward several years and the pair has relocated from the Midwest to San Francisco to raise money for a financial technology business they’ve been self-funding since 2016.

Author: Kate Clark

Read More On: TechCrunch

9. MIT-IBM developed a faster way to train video recognition AI

Machine learning has given computers the ability to do things like identify faces and read medical scans. But when it’s tasked with interpreting videos and real-world events, the models that make machine learning possible become large and cumbersome.

Author: Christine Fisher

Read More On: Engadget

10. Artificial stupidity: ‘Move slow and fix things’ could be the mantra AI needs

“Let’s not use society as a test-bed for technologies that we’re not sure yet how they’re going to change society,” warned Carly Kind, director at the Ada Lovelace Institute, an artificial intelligence (AI) research body based in the U.K. “Let’s try to think through some of these issues — move slower and fix things, rather than move fast and break things.”

Author: Paul Sawers

Read More On: Venture Beat