Testing various electronics components such as memory to make sure that they can withstand the rigors of the automotive environment has long been standard operating procedure. But today’s smarter cars and emerging autonomous vehicles must be put through their paces as a complete package.
In Europe, this can now be done at the AstaZero 5G test facility, a joint venture of Swedish state-owned Research Institutes of Sweden (RISE) and Chalmers University. In a telephone interview with EE Times, AstaZero CEO Peter Janevik said that it’s the most advanced testing environment for self-driving vehicles, designed to provide the data necessary to predict vehicle behavior in real-life situations without the need for on-the-road testing.
The first floor of a College Park parking garage is about to reopen completely transformed.
It’s the space the University of Maryland and McLean-based Capital One Financial Corp. (NYSE: COF) repurposed as their new innovation lab for computer science and engineering work, set to open Nov. 20. And while it’s tucked behind the Hotel at the University of Maryland near old back-of-the-house buildings (think HVAC maintenance) also slated for redevelopment, one thing is clear, said Ken Ulman, the university’s chief strategy officer for economic development: “Once this opens, it’s going to be like a big magnet.”
The university’s new Data Analytics major builds this well-rounded skill set. Specialized courses like one that Oury teaches — a data science course that emphasizes programming and data manipulation — are balanced by traditional business courses in accounting, economics, finance, management and marketing.
“Analytics skills cross disciplines and can be applied to a vast array of sectors,” says Oury. “They are used in banking to detect and reduce fraudulent claims, in health care to reduce costs and improve outcomes, and in the media to monitor user sentiment and discover trending topics.”
How ideas move through academia may depend on where those ideas come from—whether from big-name universities or less prestigious institutions—as much as their quality, a recent study from CU Boulder suggests.
The new research borrows a page from epidemiology, exploring how ideas might flow from university to university, almost like a disease. The findings from CU Boulder’s Allison Morgan and her colleagues suggest that the way that universities hire new faculty members may give elite schools an edge in spreading their research to others.
In particular, the team simulated how ideas might spread out faster from highly-ranked schools than from those at the bottom of the pile—even when the ideas weren’t that good.
Sorting a bunch of differently coloured toy trucks and action figures seems like child’s play, right? Unfortunately this remains a challenging task in the world of machine learning. So why not have humans simply show the machines how to do it?
This is the inspiration behind a new research project led by Stanford Artificial Intelligence Lab Director Fei-Fei Li and her husband, Stanford Associate Professor Silvio Savarese. The project introduces two new global platforms — RoboTurk and Surreal — designed to provide high-quality task demonstration data to help researchers working in robotic manipulation.
RoboTurk is a crowdsourcing platform that is collecting human demonstrations of tasks such as “picking” and “assembly”; while Surreal is an open-source reinforcement learning framework that accelerates the machines’ learning process.
This year, more candidates with degrees in science, medicine and engineering ran for Congress than ever before. Of the nearly two-dozen new candidates in this crop, at least seven won seats in the House of Representatives.
The newcomers, mostly Democrats, include Chrissy Houlahan, who has a degree in industrial engineering and won in Pennsylvania. Sean Casten, who has worked as a biochemist, flipped a longtime Republican district in Chicago. Ocean engineer Joe Cunningham, who came out strongly against offshore drilling, won in South Carolina. Lauren Underwood, a registered nurse, won Illinois’s 14th District. In Virginia, Elaine Luria, who has a nuclear engineering background, defeated the Republican incumbent, Scott Taylor. Jeff Van Drew, who won a seat representing the 2nd Congressional District in New Jersey, is a dentist.
To make it easier to get a quick overview of the global academic landscape for those interested in getting into AI or advancing their career with a postgraduate degree, we have compiled a list of institutions offering programs and/or doing research in AI and Data Science.
“When authors submit descriptions of sensitive human datasets, we initiate a conversation with them and their relevant ethics officers to identify a safe and secure way for peer review to occur. The checklist we have released today is designed to help facilitate this conversation. Authors who are considering submitting a description of a human-derived dataset should review this checklist and contact us early to begin this conversation. The checklist is now available online (https://go.nature.com/2Nn9Kkx).” [full text]
With enormous amounts of insights for retail and asset management locked up in captured video data, expect it to attract execs’ attention.
Remember the days when looking for something on security camera footage meant having someone sit in front of a screen, eyeballing hours of grainy black-and-white images? Actually, that wasn’t too long ago, and many companies or facilities still have such systems. However, things are changing fast.
IoT data may be piling up, but none at a faster rate than video data streaming in from cameras and visual sensors now seen at every locale and in every enterprise across the planet. Not too long ago, cameras where delivering images on tape that only could be searched and viewed manually, inch by inch. Now. computing power makes such imagery available for viewing and analysis in real time.
Unlike generalist legislators, data protection and privacy commissioners are among the public’s best equipped representatives for a meaningful public discussion with Zuckerberg. He is among a tiny group of decision-makers who are shaping a world in which human and artificial intelligence combine to collect and use the personal information of billions of people. In their modest specialism, the commissioners are like barometers of the weather ahead for our digital age.
For a sense of Facebook’s possible future EU operating environment, Zuckerberg should read the Royal Society’s new publication about the ethical and legal challenges of governing artificial intelligence. One contribution is by a senior European commission official, Paul Nemitz, principal adviser, one of the architects of the EU’s far-reaching General Data Protection Regulation, which took effect in May this year.
Researchers at Mount Sinai’s Icahn School of Medicine found that the same deep learning algorithms diagnosing pneumonia in their own chest x-rays did not work as well when applied to images from the National Institutes of Health and the Indiana University Network for Patient Care.
“The Committee welcomes applications from candidates with relevant undergraduate/master’s degrees and candidates with work or research experience in data science.” Deadline for applications is December 12.
Since the early days of the Data Catalog, we have experimented with different ways to locate institutional datasets suitable for indexing. Recently, with the help of the folks at the National Library of Medicine (NLM), we were able to create a new workflow for locating data. In a series of blog posts, we will be writing about our experiences using the “has data avail” filter on PubMed Central (PMC) to identify a wide range of institutional datasets as well as what we learned about our institution’s data sharing practices from this exercise.
Good data governance prevents privacy and security issues and ensures only verifiable data from reliable sources is published — and only after it’s vetted and approved.
At Socrata Connect, I had the opportunity to chat with my former colleague from Prince George’s County, Ben Birge, CountyStat Manager, along with Mike Rowicki, Assistant to the Chief Strategy Officer in Fulton County, Georgia, on some of the important considerations for governments intent on sharing data.
Data science brings additional responsibilities to DevOps. Data engineering, a niche domain that deals with complex pipelines that transform the data, demands close collaboration of data science teams with DevOps. Operators are expected to provision highly available clusters of Apache Hadoop, Apache Kafka, Apache Spark and Apache Airflow that tackle data extraction and transformation. Data engineers acquire data from a variety of sources before leveraging Big Data clusters and complex pipelines for transforming it.
Data scientists explore transformed data to find insights and correlations. They use a different set of tools including Jupyter Notebooks, Pandas, Tableau and Power BI to visualize data. DevOps teams are expected to support data scientists by creating environments for data exploration and visualization.
There are many reasons why companies believe this method is still better. In this article, we will look at three of the biggest myths and analyze why they may not be as true as some organizations believe.
