The Tech Giants conference season is well and truly underway: last week, we told you about all the exciting AI-related announcements from Facebook’s F8 conference. Stay tuned for our Google IO coverage which is ending today.
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????Haiyan Zhang (Director of Innovation, Microsoft) will be speaking at CogX.
A team of researchers have developed a machine learning algorithm that can predict how dangerous a particular strain of Salmonella will be, according to a paper published in PLOS Genetics on Tuesday.
The researchers built a random forest classifier to differentiate between both types of Salmonella. First, they build a dataset collecting the DNA sequences from different types of Salmonella, including six strains that caused more severe infections, and seven gastrointestinal strains. Next, they trained a random forest classifier to identify the 200 different genes that are more likely to give people food poisoning or Typhoid fever.
Ryanair is planning to use Amazon Web Services (AWS) machine learning to help improve travel experiences. As part of its dedication toward AWS public cloud, the low-cost airline will be rebuilding and replacing its legacy systems with Amazon’s analytics, database and machine learning technologies in a bid to become more cost-efficient and agile.
The company currently uses Microsoft SQL database, but believes moving to Amazon’s database engine Aurora will save costs and help deliver email marketing campaigns across Europe. Furthermore, Ryanair will be trialling Amazon’s chatbot tech Lex to help provide customers which route customer support requests for assistance.
Beginning in 2016, companies including Marble and Starship Technologies started road testing self-driving delivery robots that ferry food and groceries to the customer’s door. These bots promised to bring convenience for city dwellers and reduce the number of delivery vehicles on the road. But San Francisco threw the brakes on delivery robots, with city officials passing some of the most restrictive regulations on delivery robots found anywhere in the US in December 2017.
Starship’s founders, Ahti Heinla and Janus Friis, who helped launch Skype before this, say their robots have left San Francisco in order to focus on cities where they’re welcome. “There’s only one San Francisco. There are many more cities that are welcoming our robots and that want to work with us,” Heinla, Starship’s CEO, told Business Insider.
In the southeast city of Nanchang, Chinese police say that last month they arrested a suspect wanted for “economic crimes” after a facial recognition system spotted him at a pop concert amidst 60,000 other attendees.
These types of stories, combined with reports that computer vision recognises some types of images more accurately than humans, makes it seem like the Panopticon has officially arrived. In the US alone, 117 million Americans, or roughly one in two US adults, have their picture in a law enforcement facial-recognition database. Check out Lily Hay Newman‘s Wired article for more.
Researchers at DeepMind have managed to mimic the complex way our brains navigate the spaces around us using AI. And it’s helping us to understand brains in a way we couldn’t before. In their most recent paper published in Nature, DeepMind developed an artificial agent to test the theory that grid cells support vector-based navigation, in keeping with their overarching philosophy that algorithms used for AI can meaningfully approximate elements of the brain.
They believe their study constitutes an important step in understanding the fundamental computational purpose of grid cells in the brain and also highlights the benefits they afford to artificial agents. The evidence provides compelling support for the theory that grid cells provide a
Euclidean spatial framework – a concept of space – enabling vector-based navigation. Have a look at this great summary from Wired which explores this research.
A new game creation method is using GANs to produce new maps for Doom, the classic first-person shooter game. The algorithm creates Doom maps that match human-created ones visually as well as on certain higher-level features such as the balance of large and small rooms, the authors report in a paper posted to arXiv last