If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Drone delivery service Wing is launching its own air-traffic control app to keep its craft safe in the skies. The company, owned by Google-parent Alphabet, recently started making deliveries in parts of Australia and Finland. Wing's new iOS and Android app aims to'help users comply with rules and plan flights more safely and effectively,' providing a rundown of airspace restrictions and hazards as well as events nearby that could interfere. The new app, Open Sky, is being released to drone flyers in Australia this month according to Wing. 'The design of our software has required a detailed understanding of flight rules -- along with buildings, roads, trees, and other terrain -- that allow aircraft to navigate safely at low altitudes, and we've used it to complete tens of thousands of flights on three continents,' Wing said in a blog post.
ANSYS and BMW have announced plans to create the first holistic simulation toolchain for developing autonomous vehicle (AV) technologies. The simulation tool chain will enable highly automated and autonomous driving (AD) with the first vehicle launch expected in just two years. BMW Group is leveraging ANSYS' engineering simulation solutions to speed up the development of a safety-focused solution for the validation of AD systems. The multi-year agreement drives the development of BMW Group's Level 3 offering and Level 4-5 technology, delivering high/full automation for the highly anticipated BMW iNEXT, expected to launch in 2021. The new automated simulation toolchain will make efficient use of BMW s large amount of sensor data through intelligent data analytics and the creation of scenarios according to statistical relevance and AD system sensitivity.
Artificial Intelligence is making the transition to electronic-only publishing a necessity for textbook publishers. In a recent story, the BBC reported on how Pearsons, one of the largest textbook publishing companies in the world, is getting out of the print business. This is very much along the lines of Ford Motor Company announcing recently that they will stop producing cars. While the jury is still out on whether the latter is a good idea, in many respects. It is a matter of economics.
Scientists at Okayama University in Japan have developed an artificial intelligence (AI)-based endoscopic diagnosis system for the early identification of gastric cancer. Early-stage gastric cancer can be treated using surgical gastrectomy procedures and endoscopic surgery (ESD), which can save the stomach. The use of endoscopy treatment or surgery is decided based the depth of cancer within the stomach wall. The treatment plan is decided after analysis of endoscopic images, said the researchers. To help in early detection of the cancer, the team developed a prototype of the AI endoscope using GoogLeNet to match purpose via the image identification capability of Convolutional Neural Network (CNN) published by Google on the MATLAB numerical analysis software.
As a McKinsey report suggests, there's an estimated $766 billion total wages in the U.S. for predictable physical work, which is more likely to be automated by robots. The top 3 markets where the most predictable physical work resides are 1) accommodation and food, 2) manufacturing, 3) transportation and warehousing. We are facing a global problem of shrinking labor forces driving up needs for automation. Especially for countries like Japan, its population is expected to shrink by 24% by 2050, and its working-age population is set to decline at an even faster pace than the overall population. Labor shortages drive up salaries in industries like e-commerce fulfillment, where the tasks are highly repetitive and openings are hard to fill.
This is, what we aim to at our own factories. Read my introduction to a series of blogposts how we do this. Harnessing the power of artificial intelligence (AI), engineers at our manufacturing plant in Amberg can predict when a key component is likely to fail – up to 36 hours before the failure actually happens. This allows them to react in plenty of time to avoid a costly breakdown of the machine. In our electronics manufacturing facility in Amberg, we have several PCB cutting machines that are deployed for a number of our SIMATIC products – including the S7-300 and ET 200.
FRAMINGHAM, Mass., July 8, 2019 – A recent International Data Corporation (IDC) survey of global organizations that are already using artificial intelligence (AI) solutions found only 25% have developed an enterprise-wide AI strategy. At the same time, half the organizations surveyed see AI as a priority and two thirds are emphasizing an "AI First" culture. "Organizations that embrace AI will drive better customer engagements and have accelerated rates of innovation, higher competitiveness, higher margins, and productive employees. Organizations worldwide must evaluate their vision and transform their people, processes, technology, and data readiness to unleash the power of AI and thrive in the digital era," said Ritu Jyoti, program vice president, Artificial Intelligence Strategies. The primary drivers behind these organizations' AI initiatives were to improve productivity, business agility, and customer satisfaction via automation.
The field of Robotic Process Automation (RPA) has seen a major boom thanks to the use of AI tools that make it easier to streamline the development of software robots. At Transform 2019 this week, experts weighed in on what will be required to take RPA from a simple point solution to a robust digital factory. The goal is not so much to replace humans, but to find better ways to complement human workflows. Telecom giant CenturyLink discovered that scaling and managing a bot workforce required a thoughtful approach. Brian Bond, consumer vice president at CenturyLink, said things started changing when they got up to around 100 bots.
After having worked with several VCs and startups, I noticed that successful startups tend to share the same characteristics. Hence, I decided to write an article that could help entrepreneurs understand what can make an AI startup catch investors' attention. As always, and most particularly, the findings detailed below stem from my experience. The main challenge for AI startups is to prove to investors the scalability of their business model. Over the years, I noticed that some consumer products powered by automation were randomly/easily using the term AI in their communication when they actually only relied on data analytics to automate low added-value tasks.