Weekly Top 10 Automation Articles

1. Now Google's robotics lab focuses on machine learning

Google didn't completely scrap its robotic dreams after it sold off Boston Dynamics and shuttered the other robotic start-ups it acquired over the past decade. Now, the tech giant has given us a glimpse of how the program has changed in a blog post and a New York Times report. With the Boston Dynamics team at its disposal, Google's robotics program focused on machines designed to move and look like us -- humanoid robots like BD's Atlas. The new lab called "Robotics at Google," however, focuses more on software: more precisely, in using machine learning to develop robots useful in the real world.

Author: Mariella Moon

Read More On: ENGADGET

2. The Consequences Of Our Blind Faith In Artificial Intelligence Are Catching Up To Us

There is growing enthusiasm for Artificial Intelligence (AI) and its capacity to drastically transform business performance and streamline outcomes in public services.

As great as that hunger for innovation sounds, however, in reality, pivots towards AI are typically coupled with a serious lack of understanding of the dangers and limitations of the new technology.

Author: Thais Portilho 


3. Can we stop robots outsmarting humanity?

it began three and a half billion years ago in a pool of muck, when a molecule made a copy of itself and so became the ultimate ancestor of all earthly life. It began four million years ago, when brain volumes began climbing rapidly in the hominid line.

Author: Mara Hvistendahl


4. Your Apples May Soon Be Picked By Laser-Shooting Robots

A BOWL OF salad is a beautiful collection of human ingenuity. The lettuce requires its own specialized agricultural process, as do the tomatoes, as do the garbanzo beans. Then comes the simple act of pulling these ingredients out of the ground, a challenge our dextrous human hands complete with ease. As for robots? Not so much.

Author: Matt Simon

Read More On: WIRED

5. Machines Treating Patients? It's Already Happening

A little after 8 a.m. each day, a small yellow robot named Mabu asks Byrd how he’s doing. Byrd has Type 2 diabetes and congestive heart failure, and about three years ago, he had surgery to implant a microvalve in his heart to keep his blood flowing properly. To stay healthy, he takes four medications a day and needs to exercise regularly. To make sure his heart is still pumping effectively, his doctor needs to stay on top of whether Byrd gets short of breath.

Author: Alice Park

Read More On: TIME

6. Quantum Computing Will Break Encryption In A Few Years

Modern public-key encryption is currently good enough to meet enterprise requirements, according to experts. Most cyber attacks target different parts of the security stack these days – unwary users in particular. Yet this stalwart building block of present-day computing is about to be eroded by the advent of quantum computing within the next decade, according to experts.

Read More On: CSO

7. Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were significant ups and downs on the way. In some of these phases, people were even afraid to openly commit to the term artificial intelligence, as the reputation of the field was severely damaged. Anybody working on AI was considered a dreamer at that time. This also led to different names and subdivisions of the field being called machine learning, data mining, or pattern recognition.

Author: Andreas Maier


8. Artificial Intelligence And The Future Of Smartphone Photography

Photography has been transformed in the age of the smartphone. Not only is the pose different, as in the case of the selfie, but the entire nature of the process of light being captured by phone cameras is something else altogether. 

Cameras are no longer just a lense and a sensor, they are also the collection of algorithms that instantly manipulate images to achieve photographic results that would otherwise require hours of manipulation via desktop software. Photography has become computational photography.

Author: Tiernan Ray

Read More On: ZDNET

9. How Do We Create Artificial Intelligence That Is More Human?

On February 11, 2019, President Trump signed an executive order on Maintaining American Leadership in Artificial Intelligence and in February 2019, a surv REey by Protiviti called Artificial Intelligence and Machine Learning indicated that only 16% of business leaders surveyed are getting significant value from advanced artificial intelligence (AI) in their companies. The report also found that companies of all sizes and across industries are investing heavily in advanced AI with an average of $36M spent in the fiscal year 2018.

Author: Jennifer Kite-Powell

Read More On: FORBES

10. How Machine Learning Is Accelerating Last-Mile, And Last-Meter, Delivery

While much of the logistics industry’s efforts to accelerate delivery times focuses on optimizing routes, it turns out that’s not where drivers spend most of their time.

In fact, as much as 75% of their workday is dedicated to navigating not the “last mile” but the last 100 meters—waiting at loading docks, searching for parking, and interacting with customers, said Chazz Sims, chief executive of Wise Systems, a startup based in Cambridge, Massachusetts, that has developed autonomous routing and dispatch software.

Author: James Temple


Yusra Hamid