Robocrop: world's first raspberry-picking robot set to work

The Guardian

Quivering and hesitant, like a spoon-wielding toddler trying to eat soup without spilling it, the world's first raspberry-picking robot is attempting to harvest one of the fruits. After sizing it up for an age, the robot plucks the fruit with its gripping arm and gingerly deposits it into a waiting punnet. The whole process takes about a minute for a single berry. It seems like heavy going for a robot that cost £700,000 to develop but, if all goes to plan, this is the future of fruit-picking. Each robot will be able to pick more than 25,000 raspberries a day, outpacing human workers who manage about 15,000 in an eight-hour shift, according to Fieldwork Robotics, a spinout from the University of Plymouth.

What is Machine Learning? Why Machine Learning?


Sometimes we encounter problems for which it's really hard to write a computer program to solve. For example, let's say we wanted to program a computer to recognize hand-written digits: You could imagine trying to devise a set of rules to distinguish each individual digit. Zeros, for instance, are basically one closed loop. But what if the person didn't perfectly close the loop. Or what if the right top of the loop closes below where the left top of the loop starts?

What is the Effect of AI and Automation on HR?


When we look at all of the different types of HR technologies that are out there, and there's now hundreds of them that have some form of machine learning or AI at the core of their platform, and have an HR use case. One of the biggest areas that we're seeing an impact is in recruitment. Over a third of all of the vendors that are out there that are using some form of AI in their platform are doing so to try and disrupt recruitment and there are a few different ways that they're doing that, these include: To learn more about how AI is impacting Recruitment, you can read an earlier blog post that I wrote on this topic by going here. So I'm not talking about employee engagement or engagement surveys when I talk about Employee Experience. What I'm talking about is the experience that people have in your organisation using HR technology.

Automotive Artificial Intelligence (AI) Market To Set Phenomenal Growth From 2019 To 2025 - Fanancials


A research report on "Global Automotive Artificial Intelligence (AI) Market 2019 Industry Research Report" is being published by This is a key document as far as the clients and industries are concerned to not only understand the Global competitive market status that exists currently but also what future holds for it in the upcoming period, i.e., between 2018 and 2025. It has taken the previous market status of 2013 – 2018 to project the future status. The report has categorized in terms of region, type, key industries, and application. Global Automotive Artificial Intelligence (AI) revenue was xx.xx Million USD in 2013, grew to xx.xx Million USD in 2017, and will reach xx.xx Million USD in 2023, with a CAGR of x.x% during 2018-2023.

mAP (mean Average Precision) for Object Detection


AP (Average precision) is a popular metric in measuring the accuracy of object detectors like Faster R-CNN, SSD, etc. Average precision computes the average precision value for recall value over 0 to 1. It sounds complicated but actually pretty simple as we illustrate it with an example. But before that, we will do a quick recap on precision, recall, and IoU first. Precision measures how accurate is your predictions.

Top 5 Reasons A.I. is Changing Day Trading


While technical analysis is a fascinating topic, you don't need to understand it to know what artificial intelligence does specifically. The platforms will simply allows you to identify certain patterns that you deem bearish or bullish and then build a trading strategy based on the appearance of those patterns. The "AI" component helps recognize the patterns as they form. While may day traders are already adopting this to a certain extent with well-known patterns, many day traders are taking the advantage because they can identify any user-defined pattern in real-time.

AI and the data production landscape


It's never easy to predict the future, and the speakers of Data Science Salon New York have somewhat divergent views on how we might expect ML and AI to be applied to the field of Media and Entertainment in the next five to ten years. But there's one clear area of agreement: "We're going to continue to see the implementation (and improvement) of personalized recommendation algorithms that are based on person-level data." said Lauren Lombardo, Senior Data Scientist at Nielsen. "It will vastly improve the overall relevance of the content and advertisements served across premium video, and make content exploration much simpler and more enjoyable," suggests Chris Whitely, Senior Director, Applied Analytics at Comcast. But the recommendation engines of tomorrow will be even more robust. "We've barely scratched the surface of utilizing recommendation engines for generating new content," said Josh Miller, Director of Data Analytics at

How To Start Using Artificial Intelligence In Supply Chain Management 7wData


Supply chains are getting smarter, and not because we as human beings are growing collectively better at predicting when inventory will run out, or calculating invoices. Supply chain management is receiving a major boost from artificial intelligence. According to predictions by McKinsey & Company, firms may see around$1.3 Only marketing and sales will see a bigger impact from AI going forward. It's understandable that big companies like Amazon and Wal-Mart will see big benefits from using AI, seeing as how their supply chains and dealings are global, complex systems.

Ethical Concerns the Advance of AI Raises


Nearly every day, we hear about new advances in AI that enable new ways to monitor activities and people, transforming many processes in our day to day life. What we may then hear every other day is how AI can exacerbate racial and gender bias and pose a threat to privacy, job security, and economic well being. It could possibly even spark a war in the view of Elon Musk. As explained in Facial Recognition Concerns: Microsoft's Six Ethical Principles, "The widespread use of Artificial Intelligence-powered facial recognition technology can lead to some new intrusions into people's privacy." Given the ability to capture people's image and identify them on public streets in the name of security, people are rightfully concerned that they will lose their ability to maintain any privacy.

Infographic: Artificial Intelligence and Benefits Businesses can Reap From it -


Industries are aggressively investing in the utilization of Artificial Intelligence (AI) software capabilities. According to International Data Corporation's (IDC) Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide, it has been forecasted that this area of technology will grow to $52.2 billion in 2021. Furthermore, the report also stresses that by the year 2021, 75% of the enterprise application will be AI-driven. Hence, organizations should start evaluating AI to see how it will affect their business processes. There are many ways businesses can take advantage of the speed and detailing that Artificial Intelligence offers.