Dog Drone promises to walk your dog using GPS

Daily Mail

Drones Direct say that they have modified a popular automated aerial vehicle to allow owners to take their pet for a stroll completely hands free. Drones Direct say that they have modified a popular automated aerial vehicle to allow owners to take their pet for a stroll completely hands free (artist's impression) Drones Direct say that the gadget will allow owners to text or sit on a park bench whilst keeping an eye on their pets on their daily walk. The Dog Drone, widely reported in the media, is based on a DJI Phantom 4 and also includes a retractable lead. The Dog Drone, widely reported in the media, is based on a DJI Phantom 4 (pictured) and also includes a retractable lead.

The top 10 skills required for IoT developers


Building an IoT system requires a team effort. A basic IoT team includes an electrical engineer, a mechanical engineer, an industrial designer, an embedded systems designer, one back-end developer, one front-end developer and a product manager. Needed skill sets include sensor data analysis, data center management, predictive analytics, and programming in Hadoop and NoSQL. Big data drives IoT, and the job of software engineers, network engineers, and UX engineers is to make the data work seamlessly for users.

How AI, Machine Learning & Data Visualization are Defining the Ultimate Customer Experience


The words artificial intelligence (AI), machine learning (ML) and data visualization are everywhere right now. The term machine learning is meant to describe the process machines go through in order to get data and basically learn for themselves. The fact is that ML is basically allowing companies to reshape the business process by using digital intelligence. It's a form of visual organization that can help businesses and institution better understand their data, by identifying trends, correlations, and patterns – all essential elements in order to offer their clients the best experiences.

This guy's amazing Tinder profile is a PowerPoint sales pitch


If your Tinder profile doesn't look like a PowerPoint slide, you're not doing it right. Niket Biswas, a software engineering manager at Facebook in New York, decided he wanted to create a Tinder profile that was far from generic -- and he did. Biswas himself is pretty familiar with online dating, having been on it for seven years before deciding to revamp his profile. "There's plenty of good looking people on dating apps...its really tough to stand out on photos alone.

Eliminating the Human

MIT Technology Review

Online ordering and home delivery: Online ordering is hugely convenient. Robot workforce: Factories increasingly have fewer and fewer human workers, which means no personalities to deal with, no agitating for overtime, and no illnesses. Big data: Improvements and innovations in crunching massive amounts of data mean that patterns can be recognized in our behavior where they weren't seen previously. Automated high-speed stock buying and selling: A machine crunching huge amounts of data can spot trends and patterns quickly and act on them faster than a person can.

How AI became Instagram's weapon of choice in the war on cyberbullying


But instead of putting the responsibility on their users to report abuse, as Facebook and Twitter have done, Instagram is the first social media outlet to use machine learning to eliminate abusive language on its platform. To address cyberbullying head-on, Instagram recently announced a new strategy: Integrating a machine learning algorithm to detect and block potential bullies on its platform. "Machine learning algorithms have proven to be effective ways to detect hate speech and cyberbullying," said Tom Davidson, graduate student at Cornell University and coauthor of reports on hate speech and cyberbullying on social media, focusing on Twitter. Zeerak Waseem, Ph.D. student at the University of Sheffield focusing on abusive language detection and hate speech on Twitter, told TechRepublic that "these attempts are lacking in effect."

Elon Musk: AI 'vastly more risky than North Korea'

The Guardian

The Tesla and SpaceX chief executive took to Twitter to once again reiterate the need for concern around the development of AI, following the victory of Musk-led AI development over professional players of the Dota 2 online multiplayer battle game. This is not the first time Musk has stated that AI could potentially be one of the most dangerous international developments. Musk's tweets coincide with the testing of an AI designed by OpenAI to play the multiplayer online battle arena (Moba) game Dota 2, which successfully managed to win all its 1-v-1 games at the International Dota 2 championships against many of the world's best players competing for a $24.8m (£19m) prize fund. Musk's latest comments come after a public spat with Facebook chief executive Mark Zuckerberg over the dangers of AI, with Musk dismissing Zuckerberg as having "limited" understanding of the subject after the social network's head called out Musk for scaremongering over AI.

Introductions to Online Machine Learning Algorithms


Fast Offline HFT algorithm, executes trades based on tumbling windows of 15 milliseconds worth of activity Fast offline, slow online and stack order Online doesn't mean fast, online doesn't mean streaming, online only means that it processes information as soon as it is received.

Pranksters Force Chinese AI Chatbots To Praise The US & Criticize China's Own Communist Party!


You cannot mess with the Chinese when it comes to their national pride. Reports have emerged that China took down two AI-powered online chatbots that went off script, answering people's questions in a rude and unflattering manner, hurting China's national pride in the process. The fact that these two online chatbots were tricked into giving these wrong answers by online pranksters seems to be a repeat of Microsoft's Tay fiasco. In 2016, Microsoft released a chatbot called Tay which talked to people on Twitter.

Why Education Is the Hardest Sector of the Economy to Automate


There is no doubt that technological trends will have a powerful impact on global education, both by improving the overall learning experience and by increasing global access to education. Massive open online courses (MOOCs), chatbot tutors, and AI-powered lesson plans are just a few examples of the digital transformation in global education. Good teaching requires complex social interactions and adaptation to the individual student's learning needs. Data analysis can be used to improve individual student results, assess each student's strengths and weaknesses, and create mass-customized programs.