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) …
The first GANs paper had just come out two years before we started working on the second edition, but we weren't sure of its relevance. However, GANs have evolved into one of the hottest and most widely used deep learning techniques. People use them for creating artwork, colorizing and improving the quality of photos, and to recreate old video game textures in higher resolutions. It goes without saying that an introduction to GANs was long overdue. Another important machine learning topic not included in previous editions is reinforcement learning, which has received a massive boost in attention recently.
We see the growth of people analytics at first-hand at Insight222, where we are now working with over 60 global organisations to help them put people analytics at the centre of business. In tandem we have also created a digital learning academy with myHRfuture to upskill HR in digital and analytics. For the last six years I have collated and published a collection of the'best' articles of the preceding 12 months – see 2014, 2015, 2016 2017 and 2018, and following are my choices for the 50 best articles of 2019. Those who have read the previous annual collections may note that the number of articles that make the cut has steadily risen. This is partly down to my inability to prune down to 30 or 20 - although it was hard enough to get it down to 50! Mainly though this recognises the increased number, variety and quality of people analytics and data-driven HR material now being published, which is another indicator of progress in the field. I hope that the articles selected will act as a venerable resource library for those working, researching or interested in the people analytics space. That is certainly the intention. I have arranged the 50 articles into twelve topics: i) Driving business value, ii) the future of work, iii) the future of the HR function, iv) ethics and trust, v) employee experience, vi) strategic workforce planning, vii) ONA, viii) diversity and inclusion, ix) organisational culture, perspectives and case studies from people analytics leaders, x) retention, xi) assessment and xii) getting started, as well as highlighting a few of my own articles from 2019 at the end. I hope you enjoy the articles selected, and if you do, please subscribe to my weekly Digital HR Leaders newsletter. Ultimately, people analytics should be about creating value – for leaders, for managers and for the workforce. So, where better to start than with seven articles that collectively provide insights on how to create value and/or give examples of where organisations have created value from people analytics.
"Automated machine learning improves the productivity of data scientists by handling much of the repetitive tasks associated with model development," said Susan Kahler, Global Product Marketing Manager for AI at SAS. "This frees up data scientists to focus on creating solutions to best address the problem at hand." SAS Visual Data Mining and Machine Learning, which runs on SAS Viya, supports the end-to-end data mining and machine learning process with a comprehensive visual and programming interface. SAS empowers analytics team members of all skill levels with a simple, powerful and automated way to handle all tasks in the analytics life cycle.
Of all the recent buzzwords peppering discussions of insurance technology, artificial intelligence--or AI--is probably the most common and the most classic in terms of the latitude used. Like cloud, anything closely resembling or touching artificial intelligence gets the term. However, the technology is real and consequential, and insurers are alert and ready to use it. The challenges will be sorting out what are the most useful types of AI and what are likely to be the most successful business use cases. Those challenges are addressed in "AI Technologies in P&C: Insurer Progress, Plans, And Potential," a new survey-based research report by SMA (Boston).
As artificial intelligence continues to mature, we are seeing a corresponding growth in sophistication for humanoid robots and the applications for digital human beings in many aspects of modern-day life. To help you see the possibilities, we have pulled together some of the best examples of humanoid robots and where you might see digital humans in your everyday life today. Even though the earliest form of humanoid was created by Leonardo Da Vinci in 1495 (a mechanical armored suit that could sit, stand and walk), today's humanoid robots are powered by artificial intelligence and can listen, talk, move and respond. They use sensors and actuators (motors that control movement) and have features that are modeled after human parts. Whether they are structurally similar to a male (called an Android) or a female (Gynoid), it's a challenge to create realistic robots that replicate human capabilities.
From microelectronics to mechanics and machine learning, the modern-day robots are a marvel of multiple engineering disciplines. They use sensors, image processing and reinforcement learning algorithms to move the objects around and move around the obstacles as well. However, this is not the case when it comes to handling objects such as glass. The surface properties of glass are transparent, and non-uniform light reflection makes it difficult for the sensors mounted on the robot to understand how to engage in a simple pick and place operation. To address this problem, researchers at Google AI along with Synthesis AI and Columbia University devised a novel machine-learning algorithm called ClearGrasp, that is capable of estimating accurate 3D data of transparent objects from RGB-D images.
"Top 10 Tech Trends for 2020, and Beyond" was one of the most packed plenary sessions at the OurCrowd Global Investor Summit, held February 13 at the Jerusalem International Convention Center. The largest tech event in the Middle East and the biggest business event in Israel's history, this year's summit attracted 23,000 registrants from 183 countries, including 22 Arab or Muslim nations. Over the course of the day, 231 Israeli and international experts spoke at 34 sessions. OurCrowd, the largest global venture investing platform, has been ranked "Most active venture investor in Israel" by Pitchbook for the past two years. At the opening session, OurCrowd CEO Jon Medved told delegates he believes that "Together we can make this next decade a truly Roaring Twenties."
MUMBAI: Centre of Excellence (CoE) the country's first incubation centre for companies focussed on IP in Gaming, VFX, Artificial Intelligence, Computer Vision set up by Software Technology Park of India and backed by MeitY and The Government of Telangana was inaugurated on Monday. The CoE also signed memorandums of understanding (MoUs) with 5 partners TVAGA (Telangana VFX, Animation and Gaming Association), Hyderabad Angles, HYSEA, and IIIT- Hyderabad to provide resources like mentoring, technology support, infrastructure and funding. The start-ups will be mentored by a group of industry professionals and academics, led by the Chief Mentor, a Governing Council (GC) and Project Management Group (PMG). A total investment of 19.68 Crore will be spent over a period of 5 years in addition to existing infrastructure in the STPI facility. Start-ups on selectio will be assisted with a seed fund of Rs. 5 lakhs after due diligence by the PMG.
Deep learning is on the rise in the recycling industry, according to the new e-book, Harnessing the Potential of AI, from Tomra Sorting Recycling, a sensor-based sorting technology company with headquarters in Norway. Dispelling a common misconception about AI, this latest e-book chronicles the 30-year history and contributions AI has already made to the recycling industry, as well the bright future that lies ahead, according to a Tomra news release. "In the months and years to come, those in the recycling industry will hear much more about deep learning, a powerful component of artificial intelligence," says Daniel Bender, technical manager, deep learning for Tomra Sorting. "Deep learning shows the promise of providing solutions for the industry's most complex sorting challenges. Recycling operations at the forefront of using AI to sort material stand to gain a significant advantage over companies who do not."