Microsoft doubles down on artificial intelligence in engineering reorganization

Waymo’s all-electric Jaguar Will Rule the Self-Driving Fleets of the Future

Results of UK Big Data survey

Artificial Intelligence and Machine Learning (53 percent)

Digital Technologies such as mobile and social media (20 percent)

Cloud Computing and Internet of Things both with (14 percent)

Two Real Life Examples of Google’s AutoML Tool in Action

Udacity Universe for Autonomous Transportation

From Kaggle competition to a Start-Up and tracking 2 million km² of forest

Two key letters show up throughout Microsoft’s major reorganization announcement this morning: AI.will get even more emphasis as part of the company’s reshuffling of leadership and engineering divisions. In a memo to employees laying out the reorg, Microsoft CEO Satya Nadella called out AI as one of the technologies that will “shape the next phase of innovation.” He continues: “AI capabilities are rapidly advancing across perception and cognition fueled by data and knowledge of the world.” 2018-03-29 17:28:35+00:00 https://www.geekwire.com/2018/microsoft-doubles-artificial-intelligence-engineering-reorganization/ Windows downgraded, AI upgraded, I have tried Microsoft’s Azure M/L and it was a very pleasant experience.Waymois the Most Trusted Driver The Waymo odometer rolled over to 5,000,000 (miles) in February 2018: that means their self-driving cars covered five million miles on public roads. This number will increase exponentially as their robotaxis get real-world experience. 2018-03-28 13:50:55.183000+00:00 https://hackernoon.com/waymos-all-electric-jaguar-will-rule-the-self-driving-fleets-of-the-future-425406ac4d40?source=collection_home—5——1—————- This article is a little gushing but you cannot argue with 5m miles driven. That is incredibly impressive, and with Uber’s issues of the last week, Waymo surges even further ahead.65 percent of Companies surveyed highlighted limited understanding of Big data across the organisation as the number one challenge they are facing. Companies are using Big Data for projects relating to“Whereas Digital Technologies, Cloud computing and the Internet of Things bring more technology-related benefits, Artificial Intelligence and Machine Learning have a more direct impact to the business and it is therefore no surprise that the majority of organisations expect that these two fields will have the greatest impact” … 2018-03-29 00:00:00 http://www.bobsguide.com/guide/news/2018/Mar/29/whishworks-reveals-results-of-uk-big-data-survey/ No big surprises, big data is big, AI and ML are the biggest part of big data, and “Lack of Skillset” is the biggest thing holding us back!A bowl of noodles from a restaurant you haven’t visited before, how likely are you to identify which restaurant it comes from? Sounds like an impossible question, right? Not for Google’s AutoML tool. Amodel, trained using AutoML, was able to identify the restaurant with 95% accuracy by looking at the image of the noodle bowl. The model can take apart and analyse minute details of the image and is able to predict which restaurant it was made in. Incredible! 2018-03-28 09:06:40+05:30 https://www.analyticsvidhya.com/blog/2018/03/two-examples-google-automl/ As long as my Waymo can carry my bloated 95% Noodle body to the nearest gym I will be fine!Four new nanodegrees programs added at Udacity allow anyone to gain expertise in areas like Self-Driving Car, Robotics, Deep Learning, and. WRLD is excited to play an essential role in this partnership and is keen to support the student community in developing the future of autonomous and flying vehicle technology. 2018-03-28 17:27:56-07:00 https://www.wrld3d.com/blog/wrld-to-power-udacity-universe-for-autonomous-transportation/ As mentioned last week, once you know how M/L works and how you can apply it, you can see through the smoke and spinning Lidar mirrors to see how the seemingly impossible is made possible.Back in the days, as part of my studies, I competed in my firs Kaggle competition. My fellow team members and I did okay but we were far below the top scoring teams. However, I immediately wanted to learn more about the field of machine learning and it’s applications. In the years to come, I competed in several competitions. I never managed to dedicate as much time as I wanted but every single competition was a great learning experience. In 2017, one of the goals that I had set for myself was to pick a Kaggle competition and fully focus on it to get my first golden medal. The competition I picked was Planet: Understanding the Amazon from Space. I already had some experience with satellite imagery and the use case sounded interesting. This turned out to be a great pick with many consequences in the months afterwards… 2018-03-27 00:00:00 http://blog.kaggle.com/2018/03/27/from-kaggle-competition-to-start-up-and-tracking-2-million-km%c2%b2-of-forest/ One of my colleagues completes in Kaggle events on most weekends, they are a fun way to flex your muscles and realize new potential avenues.