past few year

Recap from International Robotics Week


Last week, we were able to show the whole world what RoboValley has built in the past years and what RoboValley stands for: connecting robots and people worldwide. Constantijn also visited the RoboValley pavilion, where various start-ups were gathered together: Delft Robotics, CropZoomer, Clear Flight Solutions, SeaDrone, Robot Care Systems, Robot Security Systems, Robot Engineered Systems, Vectioneer. "Over the past few years, we have built a global platform for organisations and people involved in robotics" RoboValley Platform RoboValley's Managing Director, Arthur de Crook, thanked everyone at the end of the IRW. "Over the past few years, we have built a global platform for organisations, researchers and governments involved in robotics.

Microsoft Is Betting Big on Artificial Intelligence


Microsoft (MSFT) ended 2016 in the green, up more than 10%. Moreover, the stock is off to a good start this year, with a 5% rise year to date. As a matter of fact, the company's upward movement started in early 2013. Since then, it has continued rewarding investors every year. Microsoft reported second-quarter results in January.

Can we ever create a truly ethical artificial intelligence?


Artificial intelligence is increasingly being used as an unbiased judge, for matters ranging from insurance to economic efficiency. But can it ever truly be unbiased? When Remy Descartes first wrote the phrase cogito ergo sum –'I think therefore I am'– in the 1600s, he could not have been aware of the philosophical questioning that would erupt with the onset of artificial intelligence (AI) in the 20th and 21st century. Every Google search, every video suggested on YouTube and every Siri recommendation is built on machine learning algorithms designed to learn everything about your online habits, in a bid to offer targeted content that you might like. Even outside of consumer-level decisions, AI and algorithms are increasingly being used to root out hidden meanings in billions of lines of genetic code, in the hope of finding a cure to a disease or building machines that can talk for themselves.

Blockchain & Artificial Intelligence: Money of the Future? -


Both artificial intelligence and blockchain technology have made major advances in the past few years. Could they be combined to bring us the money of the future? Recently, many advances have been made in the field of artificial intelligence. In the past few years, we saw artificial intelligence beat one of the world's best players at Go, save drivers from car crashes, and predict the outcome of the US Presidential Election. Many companies, both established market leaders and new startups, have started to incorporate artificial intelligence into mainstream products.

Know how to program robots? CEO says now's a great time to learn ZDNet

AITopics Original Links

This is a guest post by Open Source Robotics Foundation CEO Brian Gerkey. We're especially excited to see how brand new startups have been taking advantage of the open source nature of ROS to help them develop useful, reliable robots that are creating entirely new markets.

ROS, the Robot Operating System, Is Growing Faster Than Ever, Celebrates 8 Years

AITopics Original Links

This is a guest post. The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE. Eight years ago, Morgan Quigley, Eric Berger, and Andrew Ng published a paper that was not about ROS. It was about STAIR, the STanford Artificial Intelligence Robot, which used a library called Switchyard to pass messages between software modules to perform complex manipulation tasks like stapler grasping. Switchyard was a purpose-built framework that was designed to be modular and robot-independent, and it was such a good idea that in 2009, "ROS: An Open-Source Robot Operating System" was presented at the IEEE International Conference on Robotics and Automation (ICRA) in Japan.

The Next Wave of Cloud Computing: Artificial Intelligence? »


In a market that is primarily dominated by four major companies – Google, Microsoft, Amazon, and IBM – AI could possibly disrupt the current dynamic. The current AI-cloud landscape can essentially be categorized into two groups: AI cloud services and cloud machine learning platforms. Example of AI cloud services involve technologies such as Microsoft Cognitive Services, Google Cloud Vision, and IBM Watson. Azure Machine Learning and AWS Machine Learning are examples of cloud machine learning platforms.

Uber's Pittsburgh Project Is a Crucial Test for Self-Driving Cars

MIT Technology Review

The company has been developing the technology for the past year and has been testing it on the streets of Pittsburgh. The National Highway Traffic Safety Administration is currently investigating that accident (see "Tesla Crash Will Shape the Future of Automated Cars"). RajunathanRajkumar, a professor at CMU who is collaborating with General Motors on automated vehicle technology, says the Pittsburgh experiment will raise public awareness about how driverless systems work. But Rajkumar cautions that both the Singapore and Pittsburgh trials may highlight the remaining challenges for automated vehicles.

Do not fear them robots


On March 8th Google showed how it applies artificial intelligence software to enable robots to pick unknown objects. Fanuc, a Japanese giant in industrial robots, announced its plan to connect 400,000 installed machines by the end of 2016. Another company Brain Corp., which until a few months ago only built software, recently launched an intelligent cleaning robot to try to cash in the value created through their software. Delivering turn key solutions to the end customer, means mastering hardware design, inventory management, warranties and customer support.

Artificial intelligence: The next frontier


While the world has been fixated on following the soap opera of financial markets, a more profound and ubiquitous development has been taking place worldwide - the rapid development in artificial intelligence and the fourth industrial revolution, which we think will mark an endless wave of disruptions. We believe artificial intelligence (AI) is almost ready for wider adoption by businesses, in turn providing opportunities, but also risks for investors. With corporate longevity already on the decline - according to McKinsey, one in five listed companies in the US may not last beyond the next five years - the integration of AI into business applications will have significant investment implications in the years to come. Similar to how companies with no core assets could become leaders in their industries today, AI companies have the potential to become tomorrow's industry leaders. As noted by Mr Tom Goodwin of the French media group Havas, who would have imagined just a few years back that the world's largest taxi firm (Uber) would own no vehicles, the world's largest accommodation provider (Airbnb) would operate no rooms, while the world's most valuable media company (Facebook) would create no content?