Today, recommendation engines are perhaps the biggest threat to societal cohesion on the internet--and, as a result, one of the biggest threats to societal cohesion in the offline world, too. The recommendation engines we engage with are broken in ways that have grave consequences: amplified conspiracy theories, gamified news, nonsense infiltrating mainstream discourse, misinformed voters. Recommendation engines have become The Great Polarizer. Ironically, the conversation about recommendation engines, and the curatorial power of social giants, is also highly polarized. A creator showed up at YouTube's offices with a gun last week, outraged that the platform had demonetized and downranked some of the videos on her channel.
Everyone needs a distraction now and then, so here are some things we spotted in the news that put a little smile on our faces this week. We hope they do the same to you. Former US First Lady Michelle Obama met, and danced with, two-year-old Parker Curry this week. Parker went viral after her mum posted a photograph of her mesmerised by Mrs Obama's official painting. "Maybe one day I'll proudly look up at a portrait of you," the former first lady wrote on Twitter.
Keynote: Kerstin Kleese van Dam - Enabling Real Time Analysis & Decision Making Keynote: Thomas Sargent - Economic Models Keynote: Andrew Gelman - Data Science Workflow Andrew Therriault - Learning in Cycles: Implementing Sustainable Machine Learning Models... Jeff Reback - What is the Future of Pandas Chalmer Lowe - Pandas and Date Time Steve Dower - Why does Python need security transparency? Sudheesh Katkam - Simplifying And Accelerating Data Access for Python With Dremio and Apache Arrow Casey Clements - Money for Nothing Introducing Pennies, an Open Source Pythonic Pricing Package Noemi Derzsy - Data Science Keys to Open Up OpenNASA Datasets Tyler A. Erickson - Analyzing Petabytes of Earth Science Data with Jupyter and Earth Engine Nicole Carlson - Turning PyMC3 into scikit learn Leon Yin - Reverse image search engines using out of the box machine learning libraries Keith Ingersoll - Jupyter, R Shiny, and the Data Science Web App Landscape Ami Tavory - Getting Scikit Learn To Run ...
Accenture Labs and Akshaya Patra Use Disruptive Technologies to Enhance Efficiency in Mid-Day Meal Program for School Children "Million Meals" project applied artificial intelligence, the Internet of Things and blockchain to drive efficiency and timeliness of lunch program in government schools across India BENGALURU, India; Apr. 20, 2017 – Accenture (NYSE: ACN) and Akshaya Patra, the world's largest NGO-run Mid-Day Meal Program, collaborated on an innovative project that used disruptive technologies to exponentially increase the number of meals served to children in schools in India that are run and aided by the government. The "Million Meals" project revolutionized Akshaya Patra's supply chain and operations, resulting in improved food quality and expanded service reach. Rooted in a vision to eliminate child hunger, the "Million Meals" project demonstrated how disruptive technologies such as artificial intelligence (AI), the Internet of Things (IoT) and blockchain can help address significant challenges in mass meal production and delivery. Accenture Labs, the research and development arm of Accenture, executed the project over a period of six months in Akshaya Patra's Bengaluru kitchen. An analysis of the project indicated a potential to improve efficiency by 20 percent, which could boost the number of meals served by millions.
The concept of a robot assistant in the home is moving from sci-fi to reality thanks to a new product that claims to be the first personalised household robot. BIG-i is able to interpret voice commands and perform simple household tasks, such as controlling other smart devices and providing reminders. NXROBO, the company behind the robot, believes that in the future every family will have a robot which will act as the'hub for all smart home appliances.' BIG-i is a natural-interaction robot with mobility, 3D vision, voice programming, and active perception. The robot, which stands 2ft 6ins (80 centimetres) tall, is able to move freely around the home as necessary, avoiding obstacles and can be controlled via a smartphone app as well as voice commands. It also has facial recognition technology that allows it to recognise family and friends in order to carry out specific tasks, such as reminding the children to remember their school lunchbox before they leave the house.
The Flash Continuing a crossover storyline that started on "Supergirl," Barry (Grant Gustin) and his team are taken aback when Mon-El and Hank Henshaw (guest stars Chris Wood and David Harewood, respectively) appear on their Earth with Supergirl (Melissa Benoist), who is comatose after the Music Meister's (guest star Darren Criss) attack in this new episode. New Girl Jess (Zooey Deschanel) uses her time taking care of her dad (guest star Rob Reiner) as an excuse to avoid thinking about her feelings for Nick (Jake Johnson), while Nick panics about his relationship with Reagan (Megan Fox). The Mick When Mickey (Katilin Olsen) figures out that Chip (Thomas Barbusca) is getting scammed by a girl he met online, she gives him a crash course in how to be a wolf, not a sheep, in life. A second new episode follows at 9:30. DC's Legends of Tomorrow In France during World War I, the Legends -- on a mission to retrieve the last remaining fragments of the Spear of Destiny -- enlist the help of a soldier named John Ronald Reuel Tolkien (guest star Jack Turner) and find their search is leading them to the front lines.
In May 2016, TechRepublic challenged a startup called Unanimous A.I. to predict what some thought would be impossible: The superfecta at the Kentucky Derby. Hardly anyone, including Louis Rosenberg, CEO of Unanimous A.I., thought this would actually work--but he accepted the challenge, creating an artificial "swarm" through an AI-based platform called UNU that picked the top four horses, in order, at the 2016 Derby. The swarm consisted of a group of 20 people with some knowledge of horse racing, chosen anonymously, who participated on the UNU platform. The model, based loosely on the concept of nature's swarms--How do honeybees decide where to migrate to?--incorporated a kind of group intelligence, a collective decision. The swarm correctly predicted the superfecta, beating 540-1 odds.
Anybody who has been to British chef Heston Blumenthal's world-famous Fat Duck restaurant in the UK village of Bray will know that strange flavours do work together. There egg and bacon ice cream, snail porridge and tobacco-infused chocolate were born. Blumenthal has acquired something of a mad scientist reputation - half chef, half molecular physicist - but even he might raise an eyebrow at the possibility that a computer could create such daring and flavoursome recipes. But that is exactly what IBM is setting out to do as its increasingly intrepid supercomputer Watson takes on that most human of activities - cooking. Watson's flavourbots will be churning out recipes at the annual interactive, film and music festival SXSW, offering visitors to its base in Austin, Texas some hopefully algorithmically delicious dishes, served via a food van.