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) …
My book chapter shows in a tutorial way how to use machine learning to assist quantum chemistry research. The chapter – available for free download till November 6 – is a part of the book edited by Kenneth Ruud and Erkki J. Brändas. It collects a dozen of contributions to the 10th Triennial Congress of the International Society for Theoretical Chemical Physics (ISTCP-X). This was a huge congress with 500 participants. It was held in pre-COVID-19 times in Tromsø, Norway, where the sun never set below the horizon at that time of the year. The team of the organizers led by Kenneth Ruud did really amazing job to bring together forefront science in chemical physics.
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New Delhi, September 10, 2020: As part of its ongoing efforts to promote skilling as a national priority, NASSCOM FutureSkills and Microsoft have joined hands to launch a nation-wide AI skilling initiative. The initiative aims to skill 1 million students in AI by 2021. The collaboration will provide Microsoft's AI, machine learning and data science expertise to students through easy to consume modules including live demos, hands on workshops and assignments. These introductory sessions on AI will be available for undergraduate students at no cost and will cover the basics of data science, machine learning models on Azure, and understanding of cognitive services to build intelligent solutions. The partnership with NASSCOM FutureSkills is an extension of Microsoft's global skilling initiative to help 25 million people worldwide acquire new digital skills, needed to thrive in a digital economy.
DURHAM – The National Science Foundation has awarded Duke University a $3 million, five-year Research Traineeship grant to develop a program for graduate students to develop expertise in using artificial intelligence (AI) for materials science research. The aiM (AI for Understanding and Designing Materials), program will fill a vital workforce gap by training the next generation in the new convergent field of materials and computer science research. "To achieve the promise of the U.S. Materials Genome Initiative of accelerated discovery, design and application of new materials, we must integrate the traditional tools of experimentation, theory and computation with the emerging tools of data science to transform the way we approach materials understanding and discovery," said Cate Brinson, chair of the Department of Mechanical Engineering & Materials Science and director of aiM. The Materials Genome Initiative (MGI), launched in 2011, is a multi-agency federal government effort to accelerate the development and deployment of new, advanced materials to address a host of challenges in clean energy, national security, health and welfare. "The MGI promoted a paradigm shift from slow individual experiments and computation to the beginnings of data-driven AI approaches in materials science research," added Brinson.
How is AI Ethics and Responsible AI currently being taught in Computer Science and Engineering Curriculums across Africa? What issues related to this topic are relevant to students and faculty? And what roadblocks or challenges are instructors facing to bring more discussion of AI ethics to classrooms? The goal of this workshop is to foster a discussion on how to effectively integrate AI Ethics into Computer Science/Engineering programs at African Universities. This is an initial step to gather perspectives on the current situation at representative universities in different countries in Africa, and to initiate a discussion on how we can better support each other with lessons learned and share materials/curriculums to further develop AI ethics programs in higher education. After identifying the current state, the interests of students and faculty and the needs of departments in this workshop session, the goal is to continue the series with more in-depth workshops on specific topics.
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.
Under the project, students will learn a customised version -- unique to the project -- of the popular programming language Scratch. They will also use MIT App Inventor that runs on Android devices and work on developing a robot kit in conjunction with Chromebooks. Students will study CT (computational thinking), the cornerstone computer science discipline that renders complex problems simple so that humans and computers can understand the possible solutions. This includes'pattern recognition', looking for similarities among data, and writing algorithms -- a step-by-step guide to solving a problem or task. Pupils will also learn skills such as'debugging' to identify and remove software or hardware errors and practises like'tinkering' to innovate and build on experimental models or prototypes.
It's way easier than you would think. Much of the content below is based on the Intro to Deep Learning with PyTorch course by Facebook AI. If you want to learn more, take the course, or just take a look here. Below is a graph that determines whether or not a student will be accepted into a university. Two pieces of data have been used: grades and tests each on a scale of 0–10.
Researchers from Florida Atlantic University's College of Engineering and Computer Science have received a four-year, $1 million grant from the National Science Foundation for a project to make the master's degree in artificial intelligence (AI) accessible to high-achieving, low-income students. The accelerated five-year bachelor's degree in science and master's degree in AI program is designed to adapt curricular and co-curricular support to enable students to complete their degrees in AI, autonomous systems or machine learning, which are critically important areas needed to advance America's global competitiveness and national security. "Artificial intelligence is transforming every walk of life from business to healthcare and enabling us to rethink how we analyze data, integrate massive amounts of information and make informed decisions that impact society, the economy and governance," said Stella Batalama, Ph.D., dean of FAU's College of Engineering and Computer Science and a co-principal investigator of the grant. "This important grant from the National Science Foundation will allow us to recruit and train talented and diverse students who are economically disadvantaged and provide them with a unique opportunity to pursue graduate education in an exciting and burgeoning field." By preparing increased numbers of high-achieving, low-income students to become engineers in these fields, this project addresses the need for growing a more diverse STEM (science, technology, engineering and mathematics) research population.
WASHINGTON--Representatives Paul D. Tonko (D-NY) and Guy Reschenthaler (R-PA) have just announced the introduction of their Artificial Intelligence Education Act today, bipartisan legislation that would establish grant support within the National Science Foundation (NSF) to fund the creation of easily-accessible K-12 lesson plans for schools and educators to provide students with the tools, skills and social understanding of artificial intelligence (AI) technologies in 21st-Century Society. "The development of Artificial Intelligence has fundamentally changed the way we live and work, bringing untold potential in the fields of medical science, research and development, engineering, manufacturing and so much more," Congressman Tonko said. "By providing the resources for our children to learn about AI, we ensure that the next generation of our American workforce has the skill necessary to succeed in this rapidly growing field, thereby helping to drive innovation and economic opportunity. Our legislation will deliver the tools needed to teach AI to students across the nation. I thank Congressman Reschenthaler for his partnership as a co-lead of this bill and urge the support of my colleagues in Congress to help secure a bright future for both our students and our economy."