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) …
Speech-to-text applications have never been so plentiful, popular or powerful, with researchers' pursuit of ever-better automatic speech recognition (ASR) system performance bearing fruit thanks to huge advances in machine learning technologies and the increasing availability of large speech datasets. Current speech recognition systems require thousands of hours of transcribed speech to reach acceptable performance. However, a lack of transcribed audio data for the less widely spoken of the world's 7,000 languages and dialects makes it difficult to train robust speech recognition systems in this area. To help ASR development for such low-resource languages and dialects, Facebook AI researchers have open-sourced the new wav2vec 2.0 algorithm for self-supervised language learning. The paper Wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations claims to "show for the first time that learning powerful representations from speech audio alone followed by fine-tuning on transcribed speech can outperform the best semi-supervised methods while being conceptually simpler." A Facebook AI tweet says the new algorithm can enable automatic speech recognition models with just 10 minutes of transcribed speech data.
For non-native speaking English students, trying to get good grades while learning a new language can be challenging at the best of times, but as classes turn virtual some students are being left behind. BUCKEYE, Az. -- Virtual classrooms are the new normal for many students, but for non-native speaking English students, trying to get good grades can be challenging in the best of times. As classes turn virtual due to COVID-19, some students are being left behind. Valeria Gonzalez, 11, told Fox News that her school in Buckeye, Az., doesn't offer a virtual English as a second language (ESL) program. All of her classes are taught by an English speaking teacher with no Spanish translation.
The way we work has changed and it's continuing to change. People are working remotely while being part of their team irrespective of the location. With this change, traditional training methods being restrictive and costly have become less relevant. One of the challenges faced by teachers is to provide customized learning catering to the needs of every student. As different students have different requirements, even teaching one student is an arduous task as the teacher is challenged to find the right curriculum to meet their requirements.
In the 2002 sci-fi movie Minority Report, Tom Cruise's policeman character is able to see crimes before they are committed and arrest murderers before anyone gets killed. For Winvic, the future is using artificial intelligence (AI) to spot construction site accidents before anyone gets hurt. Winvic is working on the government-funded project with the University of the West of England (UWE Bristol) Big Data Enterprise & Artificial Intelligence Lab (Big-DEAL) and Bristol industrial intelligent video specialists One Big Circle. Their project uses real-time images and machine learning technologies to detect, recognise and track hazards on a construction site, which will then alert nearby operatives via Internet of Things enabled, global positioning system (GPS) devices. Dubbed as Computer-Vision-SMART, the'Computer Vision and IoT for Personalised Site Monitoring Analytics in Real Time' project will run for two years thanks to a £600,000 grant from Innovate UK.
As we've learned (or apparently not) time and time again, AI and machine learning technology have a racism problem. From soap dispensers that don't register dark-skinned hands to self-driving cars that are 5 percent more likely to run you over if you are black because they don't recognize darker skin tones, there are numerous examples of algorithms that don't function as they should because they weren't tested enough with non-white people in mind. Over the weekend, one such algorithm with apparent bias drew attention after cryptographer and infrastructure engineer Tony Arcieri tried a simple experiment on Twitter. Arcieri took two photos: One of Barack Obama and one of Mitch McConnell. He then arranged them as below.
LG Uplus Corp, a major South Korean mobile carrier, said on Sunday that it is joining forces with Google to jointly develop 5G mobile edge computing (MEC) technology. Under the partnership, LG Uplus will work with Google Cloud, which will provide its artificial intelligence and machine learning technologies, to develop new services that utilize MEC on the telecom operator's 5G network. MEC is a key technology in delivering ultra-low latency data communication in 5G networks, and it is expected to boost upcoming services, such as smart factories, autonomous cars and cloud gaming. LG Uplus demonstrated the technology last October by transferring a vehicle's live-video feed to a car at its rear as part of its self-driving vehicle project. The new partnership comes as South Korean telecom operators have rushed to develop the budding 5G technology, reports Yonhap news agency.
Dublin start-up Ubotica has brought its AI technology into orbit aboard a next-gen ESA satellite. Dublin-based Ubotica Technologies has announced that its AI tech has gone into orbit aboard the Earth observation satellite PhiSat-1, which was launched along with 52 other satellites on a European Space Agency (ESA) Vega rocket yesterday (3 September). The satellite is part of a programme funded by ESA and supported by Enterprise Ireland, in which deep-learning technology for the in-orbit processing of Earth observation data is being deployed on a European satellite for the first time. Ubotica's CVAI technology, built on the Intel Movidius Myriad 2 vision processing unit, will allow the satellite to make its own decisions rather than relying on humans down on the planet's surface, resulting in faster, more efficient applications being deployed on the satellite. In this instance, Ubotica's AI tech is being tasked with automatic cloud detection on images captured by the satellite's advanced hyperspectral sensor.
While there are so many how-to courses for hands-on techies, there are practically none that also serve business leaders – a striking omission, since success with machine learning relies on a very particular business leadership practice just as much as it relies on adept number crunching. Rather than a hands-on training, this specialization serves both business leaders and burgeoning data scientists alike with expansive, holistic coverage of the state-of-the-art techniques and business-level best practices. There are no exercises involving coding or the use of machine learning software. Brought to you by industry leader Eric Siegel – a winner of teaching awards when he was a professor at Columbia University – this specialization stands out as one of the most thorough, engaging, and surprisingly accessible on the subject of machine learning. Across this range of topics, this specialization keeps things action-packed with case study examples, software demos, stories of poignant mistakes, and stimulating assessments.
One of the responsible things to do when a year is ending is to reflect on it. What accomplishments you have made, what challenges did you face, what did you learn, and how you can make the remainder of the year count. One experience that I can definitely share, and hopefully it would be beneficial to readers, is being awarded the 2019 Bertelsmann Tech Scholarship and receive the Deep Learning Nanodegree from Udacity, completely free of charge. And this year, Bertelsmann Tech is opening another scholarship application, which you should definitely try if you have a passion for data and cloud tech. Many people have asked online what it was like to apply for the Bertelsmann Tech scholarship, win it, and complete the Nanodegree from Udacity.
In this article, I will discuss several resources that can help you master the foundations of data science. In the modern age of information technology, there is an enormous amount of free resources for data science self-study. As a matter of fact, you can design your own data science curriculum from the innumerable amount of available resources. The rising demand for data science practitioners has given rise to a proliferation of massive open online courses (MOOC). If you are going to be taking one of these courses, keep in mind that some MOOCs are 100% free, while some do require you to pay a subscription fee (it could range anywhere from $50 to $200 per course or more, varies from platforms to platforms).