Technology developed by Kerry-based Dairymaster, which uses AI to optimise milking, was named winner of an Enterprise Ireland innovation award. Ahead of the National Ploughing Championships today (17 September), the 2019 Enterprise Ireland Innovation Arena Awards were announced. The pre-event is designed to highlight some of the latest agritech and agri-engineering projects underway in the country. The overall winner was the Mission Control system developed by Kerry-based Dairymaster, which has introduced artificial intelligence (AI) to rotary milking and includes an advanced cow recognition system called'CowNow'. The OptiCruise technology incorporated into the design adjusts the speed of milking so that milking time is optimised.

Rayfield Byrd knows when it's time to wake up every morning. The 68-year-old Oakland, Cal., resident hears a voice from the living room offering a cheery good morning. 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.

Outside Germany, one of BMW's key research organizations for business and manufacturing technology is the IT Innovation and Research Center. With bases both in Silicon Valley, as well as Greenville, South Carolina, the IT center carries out research for systems and tools across the enterprise, including financial services, sales and marketing, engineering, quality, HR, production and logistics. It is part of the carmaker's central BMW Group IT department led from Munich, which coordinates the company's enterprise and manufacturing IT backbone. Similar to other laboratory locations across BMW, the IT center operates to a large extent in research mode. It has a strong connection, for example, to Clemson University, with whom it shares a campus at the International Center for Automotive Research, working closely with engineering and software professors and students.

This is a story about how something I learned on a routine plane journey changed my understanding of how we should use artificial intelligence (AI) in the workplace -- why we should use it to support human decision making. Humans need help to make good choices. We respond to context and to our own unconscious bias as much as to data. Presenting people with facts often isn't enough; they need something called "choice architecture" to help to nudge them toward the logical next step. Here is an example from my own experience of choice depending on context.

"The next major shift in the analytics, business intelligence, and data … Along with using machine learning to find the next-best offer, companies can …

The Bangko Sentral ng Pilipinas (BSP) recently won two awards in the Central Banking Fintech and Regtech Global awards. According to a recent press release, the central bank was recognised in the Artificial Intelligence Initiative category as well as the Data Management Initiative category. The BSP won in the Artificial Intelligence Initiative category for its development of a prototype Chatbot in order to provide the public with a more accessible and efficient means to engage the central bank on financial consumer concerns. Leveraging on AI and natural language processing (NLP), the Chatbot will be able to adequately and efficiently handle consumer concerns coursed through channels including SMS and social media. Moreover, the Chatbot is envisioned to equip the central bank with more insight into customer experiences, banking practices and conduct.

Last year, Reuters broke the news that Amazon had been working on a secret AI recruiting tool that showed bias against women. I found it interesting as a case study of an AI project with broad implications for business people and machine learning professionals. After all, everyone has either hired or been hired at least once. We all have a stake in the recruiting game. Sadly, most reporting was sensationalist trash, and the news cycle quickly moved on. It seems nobody tried to answer the question of how a company of the caliber of Amazon -- with seemingly infinite resources -- could stumble so badly. Is AI technology inherently evil? Are all software engineers and data scientists sexist brutes? Is the technology too immature for complex business problems? Or is there something specific about AI projects that makes them difficult -- even for the best companies? The Reuter article was widely circulated and became a prime example of the pitfalls of AI projects.

SHANGHAI, China, Sept. 16, 2019 (GLOBE NEWSWIRE) -- On August 29th, with the theme of "Intelligent Connectivity, Infinite Possibilities", the 2019 World Artificial Intelligence Conference (WAIC), co-sponsored by the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, National Internet Information Office, Chinese Academy of Sciences, Chinese Academy of Engineering and Shanghai Municipal People's Government, was solemnly held in Shanghai. More than 500 top universities, international organizations and the world's most influential scientists, entrepreneurs and investors in the field of artificial intelligence gathered in Shanghai. Turing Award winners Raj Reddy and Manuel Blum, former Dean of the School of Computer Science at CMU & Chief AI Scientist of Squirrel AI Learning Tom Mitchell, Nobel Prize winner George Smoot, "Father of Machine Learning", Finn E. Kydland, Swiss AI Lab IDSIA Scientific Director Jürgen Schmidhuber Co-founder and CEO of Tesla Elon Musk, Chairman of the Board of Directors and CEO of Tencent Pony (Huateng) Ma, Co-chairman of the United Nations High-level Group on Digital Cooperation Jack Ma etc., delivered brilliant speeches and conversations respectively. In the top-leader conversation session, Elon Musk, Co-founder and CEO of Tesla, conducted an in-depth conversation with Jack Ma, Co-chairman of the United Nations High-level Group on Digital Cooperation. When it comes to education, Musk said, "The lecture is the worst because it's too slow. It's hard to make fewer mistakes for us in predicting the future, but you have to try first, and then to adjust it according to the errors you have predicted before."

If you're a CEO, you're being watched. A little more than you usually are, anyway. Research led by two Harvard Business School professors is attempting to find keys to the CEO's success through close study not of the exec's decisions or of others' opinions but of what they say and how they look when they say it. Using video interviews with 130 leaders, the researchers applied machine-learning tools to scrutinize the words that CEOs chose, how much they tended to stray from topic to topic, the positivity or negativity of the words they used, and their facial expressions. The era of machine learning has provided a boost for that last task.

Bernhard Scholkopf, director of the Max Planck Institute for Intelligent Systems in Tbingen, Germany, has been honored with the Korber Prize for European Science 2019. Bernhard Schölkopf, director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, is honored with the Körber Prize for European Science 2019. The Körber Foundation awards the prize to honor the computer scientist's contributions to machine learning, which today supplies one of the most important methods of Artificial Intelligence (AI). The Körber Prize includes prize money of one million Euros. Artificial Intelligence opens up new opportunities in ever more areas of day-to-day life: "AI is in play when a smartphone group stores photos according to faces and topics such as holidays," Schölkopf explains.