Preprints are here!!! Starting today authors submitting their manuscript to most PLOS journals* can also choose to post their article on bioRxiv, Cold Spring Harbor Laboratory’s preprint server for the life sciences. This is an important development for both PLOS, for bioRxiv, for the authors we serve, and for the life sciences. For PLOS, it enables us to achieve a long-standing aspect of our vision to make research more quickly available to enable discovery and reuse. For bioRxiv, this development will augment the server’s already rapidly climbing manuscript submission rate. And authors will gain the opportunity of sharing their work before peer review on a trusted platform.
Tech giants including Google, Apple and Amazon will for the first time face rules governing their commercial relations with smaller businesses under a law proposed by the European Union on Thursday.
A massive precision medicine initiative that has been years in the making from the National Institutes of Health is being rolled out at last.
The All of Us initiative, which will be launched on May 6, aims to compile detailed health profiles of 1 million Americans, with a special focus on communities historically underrepresented in biomedical research.
The program, which began as a pilot last year, is the most ambitious attempt yet to compile health and behavioral data, as well as genetic sequencing, from a representative sample of the American population. It will collect electronic health records, survey data, and even information from its participants’ wearable fitness devices – with the goal of helping scientists better understand how to craft personalized treatments, seen by many as the future of biomedicine.
It’s “science that gets rid of one-size-fits-all medicine,” the program’s director, Eric Dishman, said in an interview with STAT.
Science and business in the Netherlands are joining forces in the field of artificial intelligence. Today, the Innovation Center for Artificial Intelligence (ICAI) will be officially launched at Amsterdam Science Park. The first lab within ICAI is a partnership with Ahold Delhaize.
ICAI is focused on the joint development of AI technology through industry labs with the business sector, government and knowledge institutes. Maarten de Rijke, director of ICAI and professor of Information Retrieval at the University of Amsterdam: ‘The Netherlands has all the resources to take up a prominent position in the international AI landscape – top talent, innovation strength and research at world-class level. ICAI combines these strengths in a unique national initiative.’
Prior to beginning his teaching career, Dr. [Mark] Jones worked as a Distinguished Member of Technical Staff and Principal Investigator at Bell Labs, where he concentrated his research on Computational Linguistics, Natural Language Understanding, Optical Character Recognition, and Machine Learning. He brings this knowledge and experience to his students both in his classes and in this small study group.
When the “deep learning” group meets, they share information about deep learning, articles that they have read, and experiments that they have tried in working on projects of their own.
All four of the students have been doing remarkable things with support from Dr. Jones.
Global business value derived from artificial intelligence (AI) is projected to total $1.2 trillion in 2018, an increase of 70 per cent from 2017, according to Gartner, Inc. AI-derived business value is forecast to reach $3.9 trillion in 2022.
The Gartner AI-derived business value forecast assesses the total business value of AI across all the organisation vertical sectors covered by Gartner. There are three different sources of AI business value: customer experience, new revenue, and cost reduction.
National Bureau of Economic Research; Juliane Begenau, Maryam Farboodi, Laura Veldkamp
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One of the most important trends in modern macroeconomics is the shift from small firms to large firms. At the same time, financial markets have been transformed by advances in information technology. We explore the hypothesis that the use of big data in financial markets has lowered the cost of capital for large firms, relative to small ones, enabling large firms to grow larger. Large firms, with more economic activity and a longer firm history offer more data to process. As faster processors crunch ever more data – macro announcements, earnings statements, competitors’ performance metrics, export demand, etc. – large firms become more valuable targets for this data analysis. Once processed, that data can better forecast firm value, reduce the risk of equity investment, and thus reduce the firm’s cost of capital. As big data technology improves, large firms attract a more than proportional share of the data processing, enabling large firms to invest cheaply and grow larger.
Yewno, Inc., a leading provider of AI-driven knowledge discovery solutions, today announces its alliance with Nasdaq to create innovative indexes and research strategies driven by Yewno’s core AI technology and data packages. Nasdaq will run and calculate the indexes in real time and can productize the indices for use as Exchange Traded Funds or Structured Products.
The first set of indexes are launched today and capture technologies that are poised to disrupt the real economy. They capture 35 unique emerging technologies including blockchain, 3D printing, satellites, solar power and electric vehicles.
In defending its financial ties to the Charles Koch Foundation — some $50 million worth, as of 2016 — George Mason University has cited its academic independence from donors.
Yet George Mason is less independent than it has let on, according to documents released last week via an open-records request, and amid an ongoing suit about donor transparency brought by student activists.
Angel Cabrera, university president since 2012, shared the news with faculty members in an email, saying, “I was made aware of a number of gift agreements that were accepted by the university between 2003 and 2011 and raise questions concerning donor influence in academic matters.”
Crowd work has become incredibly important. It powers most of the AI advances we’ve seen; crowd workers are increasingly the subjects of many of us our research studies.
Many of us have been concerned about the working conditions of crowd workers on the platforms that we use as researchers. We’ve long suspected that the pay rates weren’t very good, and there is a CHI Extended Abstract that is often cited that shows this.
Yet, a lot could have changed since that relatively small study in 2010. We’ve certainly been advocating for higher wages, workers have been organizing, and we’ve written nearly endless papers about the qualitative crowd worker experience.
TDWI (Transforming Data with Intelligence), Brian J. Dooley
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According to its director, Lily Fu, “Short Programs is an extensive offering with over 50 courses and three professional certificates. Faculty work hard to get the latest practical angle for industries, with a focus on hands-on application. Participants don’t just go to lectures but they get to practice the techniques and apply them immediately to their job. Courses are constantly updated with new relevant findings.”
The overall aim of the program is to provide the tools for leaders and managers of professional departments to broaden their understanding of technologies to ensure that new technology can be adequately integrated into business processes.
“For those taking short courses, one of the benefits is direct access to full-time MIT faculty and experts in the area,” says Fu. “We don’t seek outside lecturers for these subjects; there are immediate opportunities for interacting with MIT’s latest research.”
Northeastern University has received a $200,000 grant from the Andrew W. Mellon Foundation, the largest funder of the humanities in the United States, to launch a new center dedicated to the study of Boston, enabling researchers from around the world to shed light on the city’s past, present, and future.
“Boston is a global city grounded in the past, thriving in the present and innovating for the future,” said Joseph E. Aoun, president of Northeastern University. “The work of Northeastern researchers and scholars across the humanities, data sciences, and other fields will create unprecedented entry into more than a hundred years of legacy for many generations to come.”
Based in the Northeastern University library, the center will leverage Northeastern’s expertise at the cross-section of data-driven disciplines, including journalism, network science, and the digital humanities, and will draw on unique archival resources and data sets.
Researchers from Canada and Mexico are collaborating to deal with one of the most challenging health dilemmas of the 21st century. Members of the O’Brien Institute for Public Health at the Cumming School of Medicine and Odette Lobato Calleros, PhD, a professor from Universidad Iberoamericana Ciudad de Mexico, are working together to identify barriers preventing better management of Type 2 diabetes.
“Diabetes is one of the most important chronic diseases in Canada and Mexico,” says Lobato. “It affects quality of life, and when it’s not being controlled or managed, it requires a lot of resources from health-care systems. Ultimately we want to improve both.”
What if traffic lights turned red or green at the optimal time? What if a robot could clean up after your kids? What if the city could monitor railroad tracks in real time, preventing collisions between people and trains?
These scenarios and similar ones are not too far in the future, according to experts at Tel Aviv University, where scientists and other researchers are working on several machine learning (ML) and artificial intelligence (AI) projects.
Prof. Amir Globerson said, “Soon it won’t be just self-driving cars or talking devices. It will be machines performing intelligent tasks that help us on a day-to-day level and improve safety and security.”
A new online resource from the National Oceanic and Atmospheric Administration provides an interactive view of global satellite ocean color and true-color imagery.