Sentences with phrase «data about engineers»
I could not find any polling data about engineers and global warming.
http://theinconvenientskeptic.com/
I also wanted to add polling data about engineers and other types of scientific professionals and their views of global warming.
Not exact matches
He fretted over milliseconds and pushed his engineers — from those who developed algorithms to those who built data centers — to think about lag times.
The most recent data suggest there is nothing exceptional about our bankers, insurers, engineers and consultants.
Social media can also pose a risk, but if your business depends on using it, at the very least make sure geolocation data is turned off in the app (there are online tools that can track a user based on this data) and be careful about oversharing, as sensitive information can be used against executives and employees in social engineering attacks.
Other issues raised by the committee included why Facebook does not provide an overall control or opt - out for political advertising; why it does not offer a separate feed for ads but chooses to embed them into the Newsfeed; how and why it gathers data on non-users; the addictiveness engineered into its product; what it does about fake accounts; why it hasn't recruited more humans to help with the «challenges» of managing content on a platform that's scaled so large; and aspects of its approach to GDPR compliance.
In his testimony to the UK parliament last month, Wylie suggested Facebook might have known about the app as early as July 2014 because he said Kogan had told him he'd been in touch with some Facebook engineers to try to resolve problems with the rate that data could be pulled off the platform by his app.
In the long term, the results of the survey are expected to influence ongoing global conversations about the roles and responsibilities of scientists and engineers in society, help clarify public expectations of scientists and engineers, lead to the development of materials for the education of scientists and engineers, and provide empirical data for consideration when developing specific recommendations on the nature and scope of the social responsibilities of scientists and engineers.
In the second session, Developing a Narrative About Your Data, Michael Webber, deputy director of the Energy Institute and professor of mechanical engineering at the University of Texas at Austin, contrasted his experiences discussing technical topics with technical audiences to communicating in the public arena.
Actually Blue Brain is very much about reverse engineering, looking at all the data, standardizing the data, getting the information into a framework where we can even do correlation - based science on it, building automatic tools to synthesize those data into biological phenomena.
About half of Taylor's team is made up of engineers who maintain the aircraft and design software to analyse the data collected.
«The data at hand give no indication of the kind of earnings premiums for scientists and engineers that would signal the existence of a shortage,» he said about a comparison of lifetime earnings for S&E Ph.D. s and those with professional degrees.
In the early days of the crisis, engineers were desperate to learn about the damaged reactors» cores and the radiation levels inside the buildings, data that robots should have been able to provide.
Data about Los Altos Hills was fed to a computational model developed by study co-author Thomas Hamacher, a professor of electrical and computer engineering at TUM.
Coupled with soil maps and other global positioning system (GPS)- referenced data, this imagery can then be used by farmers and engineers to determine the cause of the variation and what should be done about it.
«Now we teach them machine learning and advanced programming, and we teach them more about data structures, algorithms, and more about software engineering,» Harvard's Lin says.
Scientists are now using data about Sandy to try to create forecasts that can better define impending surges, and can help urban planners and engineers figure out what kinds of barriers might reduce future flooding.
I sat down with Mike Draugelis, former Lockheed Martin missile defense engineer turned Penn Medicine's Chief Data Scientist, to learn a bit more about the topic, the use of big data in health care and beyond, and the future of the indusData Scientist, to learn a bit more about the topic, the use of big data in health care and beyond, and the future of the indusdata in health care and beyond, and the future of the industry.
About Park Systems Park Systems is a world - leading manufacturer of atomic force microscopy (AFM) systems with a complete range of products for researchers and industry engineers in chemistry, materials, physics, life sciences, semiconductor and data storage industries.
As important as the geophysicists will be the data scientists and software engineers, because Deep Earth Imaging is equally an exercise in developing predictive data analytics tools as it is about discovering subsurface phenomena.
About Blog CSO offers the latest information and best practices on business continuity and data protection, best practices for prevention of social engineering scams, malware and breaches, and tips and advice abut security careers and leadership.
San Francisco About Blog We are a team of business leaders, data scientists, mathematicians, and engineers.
About Blog CSO offers the latest information and best practices on business continuity and data protection, best practices for prevention of social engineering scams, malware and breaches, and tips and advice abut security careers and leadership.
Syracuse, New York USA About Blog CADimensions, Inc. was founded in 1990 as a Value Added Reseller (VAR) for the CAD (Computer Aided Design), CAM (Computer Aided Manufacturing), FEA (Finite Element Analysis), PDM (Product Data Management) and 3D printing industries with a vision to be the # 1 resource provider for 3D engineering software and manufacturing productivity tools in the geographic areas we serve.
About Blog Altium is a global company with a passion for innovation, with the goal of providing the best electronics design and data management tools for every level of engineering and PCB design.
As Education Next editor Frederick Hess and I explain in a forthcoming book about learning science, technology, and education leadership, to make the best use of data we need to take a «learning engineering» approach.
We surveyed over 1,100 entering college freshmen, majoring in business and engineering at a public university in the US, and combined this information with administrative data to create a comprehensive data set that, in addition to the usual academic performance data, cognitive ability measures, and demographics, also included measures of non-cognitive skills, personality traits, and student expectations about college success.
And parents don't know that our district will be the model for all others — because we do it best — we will collect SSP data in the form of social and emotional surveys, we will change our curriculum to socially engineer our children with social and emotional instruction without parents suspecting a thing, we will assess and survey up the wazoo about academics, school climate, cyberbullying, etc. while willing parents stand by, we will enhance our teacher evaluation program and refine it into a well - oiled teacher manipulation machine, and since our kids would do well no matter what because we have uber - involved parents, it will look like everything the Administrators are doing at the State's recommendation causes the success.
In other analyses of national data (Ingersoll & Perda, 2010), we have found that, as one might expect, teaching has more annual turnover than some higher - status professions (such as lawyers, engineers, architects, professors, and pharmacists); about the same turnover as some occupations (such as police officers and corrections officers); and less turnover than some lower - status lines of work (such as child care workers, secretaries, and paralegals).
Attendees will also have opportunities to learn about everything from earth science data visualizations to engineering, and robotics to storm chasing using a mobile doppler system.
Cooke spoke with GoodEReader.com about the need to have validated content for engineers to use as a jumping off point to begin the design process, as this compiled data can streamline the creativity in an industry in which getting new devices to market is a race against the clock and the competitors.
About Blog CSO offers the latest information and best practices on business continuity and data protection, best practices for prevention of social engineering scams, malware and breaches, and tips and advice abut security careers and leadership.
Syracuse, New York USA About Blog CADimensions, Inc. was founded in 1990 as a Value Added Reseller (VAR) for the CAD (Computer Aided Design), CAM (Computer Aided Manufacturing), FEA (Finite Element Analysis), PDM (Product Data Management) and 3D printing industries with a vision to be the # 1 resource provider for 3D engineering software and manufacturing productivity tools in the geographic areas we serve.
About Blog Altium is a global company with a passion for innovation, with the goal of providing the best electronics design and data management tools for every level of engineering and PCB design.
San Francisco About Blog We are a team of business leaders, data scientists, mathematicians, and engineers.
Meanwhile, Gavin was responding to inquiries from Stewart Gaffin about the Opinionator piece, which recapped the dailytech article that stated that I had» «reverse engineered» the data to find NASA's algorithm, discovered that a Y2K bug had played havoc with some of the numbers and notified the space agency.»
On the other hand, here you have civil engineers such as Chief Hydrologist spouting off who know very little about signal processing of noisy data and the origin of the aleatory uncertainty.
I think the thing that commentator is missing about more realistic engineers is that they skeptical of * everything * until they have data in hand and can reproduce this data under the same known conditions (aka Repeatability and Reproducibility).
In engineering of machinery and electronics we become curious about data which is impossible because it tells us that our design is operating outside the agreed upon (design) parameters.
educated as an engineer and find much of this statistics talk eye rolling boring... funny thing about engineering... not much use for statistics... a bridge that is safe to 95 % confidence is not a bridge but a death trap... It all comes down to data... and you don't have any... what you have is 3rd hand massaged nonsense... even your new paper will just be putting lipstick on a pig...
Are we to forget about the mountain of science data on global climate engineering?
I realize this is more of an engineering scenario, but we meticulously archive all of our code and data using an advanced version control system so that every step in the process can be revisited and evaluated at anytime there is a question about how we got to our final results.
I hasten to add that engineers are not as picky about precision of estimates as scientists and mathematical analysts are about their data.
The Lexus engineers are after technological feedback; they want to gather data to «provide insight into how to make hybrid systems smaller, lighter and more efficient,» and they also want to learn more about «the potential of hybrid systems in motorsports.»
The bit about engineers always keeping their data available is a sad joke to anyone who has ever had to fix an old piece of equipment that has been orphaned.
I'm sorry if I'm in the wrong place, as I am not a lawyer and therefore can not provide a legal point of view about this; but as a computer engineer I can ensure that there are ways to destroy data beyound recovery.
Verily, previously known as Google Life Sciences is about to change the world by engaging chemists, engineers, doctors and behavioural scientists into their interdisciplinary efforts to use data to identify symptoms of health and diseases.
Friehe feels that engineers of data products need to think about data collection in a similar way.
There's nothing warm and fuzzy about a massive global corporation gathering up so much data on its users that even its own engineers don't know how much the algorithms are collecting.
The test process involves a team of engineers for about ten days, capturing photos and video both in the lab and outdoors, analyzing data, and providing perceptual evaluations.