research effort


To Understand The Future of AI, Study Its Past

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Dr. Claude Shannon, one of the pioneers of the field of artificial intelligence, with an electronic ... [ ] mouse designed to navigate its way around a maze after only one'training' run. A schism lies at the heart of the field of artificial intelligence. Since its inception, the field has been defined by an intellectual tug-of-war between two opposing philosophies: connectionism and symbolism. These two camps have deeply divergent visions as to how to "solve" intelligence, with differing research agendas and sometimes bitter relations. Today, connectionism dominates the world of AI.


To Understand The Future of AI, Study Its Past

#artificialintelligence

Dr. Claude Shannon, one of the pioneers of the field of artificial intelligence, with an electronic ... [ ] mouse designed to navigate its way around a maze after only one'training' run. A schism lies at the heart of the field of artificial intelligence. Since its inception, the field has been defined by an intellectual tug-of-war between two opposing philosophies: connectionism and symbolism. These two camps have deeply divergent visions as to how to "solve" intelligence, with differing research agendas and sometimes bitter relations. Today, connectionism dominates the world of AI.


Research Scientist - Computer Vision and Machine Learning ai-jobs.net

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Lead research efforts in developing computer vision/machine learning capabilities for novel Human AI collaboration/interaction mechanisms Perform world-wide scouting around people-AI partnership research trends in academia and industries to shape Bosch's research efforts in human-centric machine intelligence Perform cutting-edge research to accelerate Bosch's data-driven AI efforts (e.g., utilize existing computer vision/machine learning algorithms themselves to further expedite large-scale crowdsourced data annotations for improving perception tasks such as semantic segmentation, pedestrian detection/tracking, object annotation on LIDAR for Autonomous Driving) Work with international research teams and business unit partners to elicit requirements, propose technical directions, develop/prototype solutions, and transfer the results to the business units as a next generation product Generate high quality patents and/or academic publications in the areas of applied ML, computer vision and human computer interaction (e.g. Perform world-wide scouting around people-AI partnership research trends in academia and industries to shape Bosch's research efforts in human-centric machine intelligence Perform cutting-edge research to accelerate Bosch's data-driven AI efforts (e.g., utilize existing computer vision/machine learning algorithms themselves to further expedite large-scale crowdsourced data annotations for improving perception tasks such as semantic segmentation, pedestrian detection/tracking, object annotation on LIDAR for Autonomous Driving) Generate high quality patents and/or academic publications in the areas of applied ML, computer vision and human computer interaction (e.g.


Artificial Intelligence is Ramping up in Drug Development BioSpace

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AstraZeneca announced a long-term collaboration deal with BenevolentAI, a UK-based company focused on combining computational medicine and advanced artificial intelligence. The two companies will focus on using AI and machine learning to discover and develop new drugs for chronic kidney disease (CKD) and idiopathic pulmonary fibrosis (IPF). "The vast amount of data available to research scientists is growing exponentially each year," stated Mene Pangalo, AstraZeneca's executive vice president and president BioPharmaceuticals R&D. "By combining AstraZeneca's disease area expertise and large, diverse datasets with BenevolentAI's leading AI and machine learning capabilities, we can unlock the potential of this wealth of data to improve our understanding of complex disease biology and identify new targets that could treat debilitating diseases." No financial details were disclosed.


Where AI is today and where it's going. Richard Socher TEDxSanFrancisco

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Richard Socher is an adjunct professor at the Stanford Computer Science Department where he obtained his PhD working on deep learning with Chris Manning and Andrew Ng. He won the best Stanford CS PhD thesis award. He is now Chief Scientist at Salesforce where he leads the company's research efforts in artificial intelligence. He previously founded MetaMind, a deep learning AI platform that analyzes, labels and makes predictions on image and text data. Richard Socher is Chief Scientist at Salesforce and an adjunct professor at the Stanford Computer Science Department.


Where AI is today and where it's going. Richard Socher

#artificialintelligence

Richard Socher is an adjunct professor at the Stanford Computer Science Department where he obtained his PhD working on deep learning with Chris Manning and Andrew Ng. He won the best Stanford CS PhD thesis award. He is now Chief Scientist at Salesforce where he leads the company's research efforts in artificial intelligence. He previously founded MetaMind, a deep learning AI platform that analyzes, labels and makes predictions on image and text data. Richard Socher is Chief Scientist at Salesforce and an adjunct professor at the Stanford Computer Science Department.


Scientists Begin Work on Reverse-Engineering the Brain

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Researchers at Carnegie Mellon University have a new project: Reverse-engineer the brain. Ultimately, their goal is to "make computers think more like humans." Now, their five-year research effort has been funded by the U.S. Intelligence Advanced Research Projects Activity (IARPA) for $12 million. The research effort, through IARPA's Machine Intelligence from Cortical Networks (MICrONS) research program, is part of the U.S. BRAIN Initiative to revolutionize the understanding of the human brain. It's being led by Tai Sing Lee, a professor in the Computer Science Department and the Center for the Neural Basis of Cognition (CNBC).


Using Any Surface to Realize a New Paradigm for Wireless Communications

Communications of the ACM

Wireless communications have undeniably shaped our everyday lives. We expect ubiquitous connectivity to the Internet, with increasing demands for higher data rates and low lag everywhere: at work, at home, on the road, even with massive crowds of Internet users around us. Despite impressive breakthroughs in almost every part of our wireless devices--from antennas and hardware to operating software--this demand is getting increasingly challenging to address. The large scale of research efforts and investment in the fifth generation (5G) of wireless communications reflects the enormity of the challenge.1 A valuable and seemingly unnoticed resource could be exploited to meet this goal.


MIT plans $1B computing college, AI research effort

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MIT's move signals two trends in higher education: growing investment in sophisticated technology research and increased fundraising from the private sector. Last year, the university announced plans to partner with IBM on a 10-year, $240 million AI research effort. The resulting MIT-IBM Watson AI Lab is co-located with an IBM research facility in Boston and brings together faculty members and students as well as IBM and university researchers to enhance AI's impact across industries. More recently, IBM partnered with Columbia University to develop research competency in blockchain technology through the Columbia-IBM Center for Blockchain and Data Transparency. Public institutions are nabbing corporate funding, too.


The Artificial Neural Networks Handbook: Part 1 - DZone AI

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I have written several articles on Artificial Neural Networks, but they were just random articles on random concepts. This series of articles will give you a detailed idea of Artificial Neural Networks and concepts related to it. The resources and references to all the contents will be mentioned at the end of the series so you can study all of the concepts in depth. So, let's start with a very basic question, "What is AI and what are Artificial Neural Networks?" In this very first article in this series I will try to answer this basic questions and then we will go ahead in depth in further articles.