A report by Human Rights Watch and the Harvard Law School International Human Rights Clinic calls for humans to remain in control over all weapons systems at a time of rapid technological advances. It says that requiring humans to remain in control of critical functions during combat, including the selection of targets, saves lives and ensures that fighters comply with international law. 'Machines have long served as instruments of war, but historically humans have directed how they are used,' said Bonnie Docherty, senior arms division researcher at Human Rights Watch, in a statement. 'Now there is a real threat that humans would relinquish their control and delegate life-and-death decisions to machines.' Some have argued in favor of robots on the battlefield, saying their use could save lives.

In this Introduction to IoT Programming with JavaScript training course, expert author Patrick Catanzariti will teach you how to create interactions with connected devices and dashboards. This course is designed for users that already have experience with web development, JavaScript, and Node. You will start by learning how to build your first dashboard, including setting up a modular Node server and getting your server onto the web. From there, Patrick will show you how to set up an Arduino, display Arduino data, and go wireless with Arduino Yun and node-serialport. This video tutorial also covers Spark, Tessel, pairing Android and JavaScript using on{X}, and voice recognition with Wit.

Like it or not, it appears that the continuing skills gap that continues to plague many sections of the software world, including development, testing and more, has found a new victim: digital transformation through the use of machine learning. A survey conducted by ServiceNow looked at the eagerness of organizations to incorporate machine learning as part of their digital transformation. Mainly, senior executives want to buy into machine learning in order to support faster and more accurate decision making. But the survey polled some interesting numbers that point to what appears to be a significant lack of machine learning skills needed to manage intelligent machines within organizations. The report shows that 72% of CIOs surveyed said they are leading their company's digitalization efforts, and just over half agree that machine learning plays a critical role in that. Nearly half (49%) say their companies are using machine learning and 40% said that they plan to adopt.

Editor's Note: The Falling Walls Conference is an annual, global gathering of forward thinking individuals from 80 countries organized by the Falling Walls Foundation. Each year, on November 9--the anniversary of the fall of the Berlin Wall--20 of the world's leading scientists are invited to Berlin to present their current breakthrough research. The aim of the conference is to address two questions: Which will be the next walls to fall? And how will that change our lives? The author of the following essay is speaking at this year's Falling Walls gathering.

This course is all about A/B testing. A/B testing is used everywhere. A/B testing is all about comparing things. If you're a data scientist, and you want to tell the rest of the company, "logo A is better than logo B", well you can't just say that without proving it using numbers and statistics. Traditional A/B testing has been around for a long time, and it's full of approximations and confusing definitions. In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things.

Sooner or later, the US will face mounting job losses due to advances in automation, artificial intelligence, and robotics. Automation has emerged as a bigger threat to American jobs than globalization or immigration combined. A 2015 report from Ball State University attributed 87 percent of recent manufacturing job losses to automation. Soon enough, the number of truck and taxi drivers, postal workers, and warehouse clerks will shrink. What will the 60 percent of the population that lacks a college degree do?

With 60 percent of businesses across the globe expected to use A.I. by 2018, South African companies are championing how machine learning can manage business operations Artificial intelligence, or A.I., is already used by 39 percent of businesses around the globe in some form, according to Sage's latest analysis. Be it to scan and organise vast amounts of data quickly to free up an employee for other tasks, or to help a customer answer common questions on a website, A.I. uses programmed requirements and machine learning to reduce the time taken to complete mundane tasks, improving business efficiency and operating costs. Yet, despite CNBC reporting that smart technology boosts productivity, many companies are still to factor A.I. into their business model. Fortunately, South African companies are leading the way by adopting machine learning programmes to increase efficiency in numerous areas of their businesses. With the internet opening new opportunities for employers to hire highly skilled workers from all over the world, as well as the ability to post job postings to websites and social media, businesses are receiving more résumés and CVs than ever before.

Last month we reported on the results of 18th annual KDnuggets Software Poll: New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Here is a more detailed look at which tools go well with each other, and which don't. We also find an emerging Python-friendly ecosystem of tools that are commonly used with the two leading edges of data science: Big Data (Spark/Hadoop) and Deep Learning. A link to anonymized dataset is at the end of this post - analyze the data yourself and publish or send me the results.

As if the AI skill shortage wasn't bad enough, universities are losing teachers and students to companies offering unmatchable benefits. Last week, our sister publication Developer reported AI skills are in such high demand that companies are willing to offer six figure salaries. Universities are unable to match these benefits and it's creating a brain drain preventing the current lack of AI talent problem from being addressed. The Guardian reports of a case from Imperial College London where a senior professor couldn't understand why one of her students was not turning up to any classes. Most people wouldn't pay £9,250 per year in tuition fees only to not turn up.

WHAM-TV reports McQuaid Jesuit High School held a ceremony Wednesday for the new Wegman Family Science and Technology Center. The 36,000-square foot center includes advanced robotics rooms and state-of-the-art science labs. McQuaid's robotics and Lego robotics teams will also have their own spaces in the STEM wing.