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UI College of Engineering leverages AI research expertise across campus

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Across the University of Iowa campus, researchers are using artificial intelligence, machine learning, and big data to tackle pressing issues related to healthcare, space exploration, and public health, including the COVID-19 pandemic. For more than 30 years, this research has been made possible through expertise as well as logistical and financial support from the UI College of Engineering. "Our ability to collaborate across disciplines, departments, and colleges demonstrates that the cutting-edge research done in our College of Engineering is tremendously important to the work of our entire campus," said Harriet Nembhard, dean of the College of Engineering. "These partnerships exist in ways one might expect such as in medical imaging in the UI Carver College of Medicine and injury prevention in the College of Public Health but we also support work in the Tippie College of Business, the College of Liberal Arts and Sciences, and the College of Education." In all, the Iowa Initiative for Artificial Intelligence, funded by the Office of the Provost, Colleges of Engineering, Liberal Arts and Sciences, Medicine, Business, and Education, as well as several UI departments and research centers leads 27 active projects across campus, many of which involve engineering researchers.


Week In Review: Auto, Security, Pervasive Computing

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Huawei is also now the world's largest supplier of smartphones, surpassing Samsung Electronics Co. Qualcomm also announced a super-fast charging platform this week for Android devices that is supposed to charge a battery to 50% full in 5 minutes, and 100% full in 15 minutes. Xilinx wants to help drive open, interoperable, and adaptable Radio Access Network (RAN) 5G technologies. The company this week joined the Open RAN Policy Coalition, an organization that advocates for open and interoperable solutions in RAN. Xilinx is already a member of O-RAN alliance and is a contributor to the 3GPP specifications for 5G mobile networks. Xilinx offers silicon that supports multiple standards, bands, carriers and sub-networks for Open RAN, the company said in its press release.


GPT-3 101: a brief introduction

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Let's start with the basics. GPT-3 stands for Generative Pretrained Transformer version 3, and it is a sequence transduction model. Simply put, sequence transduction is a technique that transforms an input sequence to an output sequence. GPT-3 is a language model, which means that, using sequence transduction, it can predict the likelihood of an output sequence given an input sequence. This can be used, for instance to predict which word makes the most sense given a text sequence.


Full Innovation Story: Collaboration between Marketing, IT and Engineering

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"Innovation" is a word that says everything. Yet, it means nothing without any insights behind it. Companies use the term constantly to appear forward-thinking. However, by falling back on this vague and overused vernacular, they can fail to identify what makes them new and exciting. This means that as marketing budgets grow in size and importance, companies must become better innovation storytellers.


Artificial Intelligence Might Just Get You Your Doppelganger

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The brain of a human being is far beyond what any machine is currently capable of. While it's true that a computer can perform millions of calculation much faster than the human brain, humans can perform much more complex activities like showing emotions, balancing their bodies in highly difficult terrains, and adapting to changing environments and times. Artificial Intelligence (AI) tries to bridge the gap between what the human brain and a computer can do. One of the most successful outcomes of this, is the humanoid robot -- Sophia [1], created by Hanson Robotics. Hanson Robotics' most advanced human-like robot, Sophia, personifies our dreams for the future of AI.


Exploring the DARPA SubTerranean Challenge

Robohub

The DARPA Subterranean (SubT) Challenge aims to develop innovative technologies that would augment operations underground. On July 20, Dr Timothy Chung, the DARPA SubTChallenge Program Manager, joined Silicon Valley Robotics to discuss the upcoming Cave Circuit and Subterranean Challenge Finals, and the opportunities that still exist for individual and team entries in both Virtual and Systems Challenges, as per the video below. The SubT Challenge allows teams to demonstrate new approaches for robotic systems to rapidly map, navigate, and search complex underground environments, including human-made tunnel systems, urban underground, and natural cave networks. The SubT Challenge is organized into two Competitions (Systems and Virtual), each with two tracks (DARPA-funded and self-funded). Teams in the Systems Competition completed four total runs, two 60-minute runs on each of two courses, Experimental and Safety Research.


GPT-3 101: a brief introduction

#artificialintelligence

Let's start with the basics. GPT-3 stands for Generative Pretrained Transformer version 3, and it is a sequence transduction model. Simply put, sequence transduction is a technique that transforms an input sequence to an output sequence. GPT-3 is a language model, which means that, using sequence transduction, it can predict the likelihood of an output sequence given an input sequence. This can be used, for instance to predict which word makes the most sense given a text sequence.


News - Research in Germany

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Voice assistants, smart homes, or industrial 4.0 systems: artificial intelligence (AI) is increasingly automating processes in a wide variety of living and working environments. However, AI systems often prove to be not particularly competent because they lack either background or contextual knowledge, are unable to assess the scope and implications of assumptions and decisions, and cannot explain their actions. In the Joint Artificial Intelligence Institute (JAII), the two universities at Bielefeld and Paderborn are combining their research competencies in this field of research. The universities jointly founded the institute on July 14, 2020. In the JAII, future research will address the fundamentals of AI systems designed to focus on people.


New DeepMind scholarships create AI study opportunities for postgraduates

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New scholarships offer students from underrepresented backgrounds the chance of postgraduate study in AI and machine learning. Interdisciplinary artificial intelligence group DeepMind has renewed its philanthropic commitment to postgraduate students from underrepresented backgrounds who wish to study AI and machine learning at Imperial's Department of Computing. A gift to the Department from DeepMind will support six new postgraduate scholarships in AI and machine learning over the next few academic years. DeepMind's gift provides funding for four Master's-level scholarships and two PhD scholarships, all with a focus on artificial intelligence and machine learning. The scholarships are targeted at groups who are currently underrepresented in computing, particularly women and those from black and minority ethnic backgrounds.


10 Undergraduate Data Science Courses For 2020

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With artificial intelligence and analytics being the talk of the hour, there cannot be a better time to get started with these technologies. COVID pandemic outbreak has further increased the demand for data scientists thus learning data science skills, in the current situation, can present high employment chances. Till now, the field of data science and AI has been a preferred choice for postgraduate programs; however, the increasing demand for data professionals is making it imperative for students to start early. And that's where an undergraduate AI and data science course can help. Now that the results for Class XII board exams are out, this could be the perfect chance for the pass out students to build a career in the most demanding profession of the world.