Source – manitobacooperator.ca An expedition through published and unpublished studies on neonicotinoid pesticides has led a Guelph research team to find no colony-level risk to honeybees from the seed treatments — if they’re correctly used. The University of Guelph team, led by toxicologist Keith Solomon and adjunct professor Gladys Stephenson, analyzed 64 papers from “open, peer-reviewed Read More
Category: Data Science
Data Science
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Source – informationweek.com If you want build trust in machine learning, try treating it like a human, asking it the same type of questions. During the 2008 financial crisis, the banking industry realized that their machine learning algorithms were based on flawed assumptions. So financial system regulators decided that additional controls were needed, and regulatory Read More
Source – cioreview.com Data has been continuously flowing more than ever in our contemporary era. By applying necessary analytical measures on the colossal amount of Big Data, small and large businesses can identify new opportunities and improve the customer experience alike. As the population and the technology grows, so will the quantity of data increase. However, Read More
Source – ktvu.com OAKLAND, Calif. (KTVU) – Just like a gun, a computer can do good or evil depending on the user. But consider an artificially intelligent gun or computer that can think for itself. Thursday, we looked at the dicey ethical issues of autonomous computers, machines and robots. In Isaac Asimov’s sci-fi classic: I, Robot, robots Read More
Source – td.org Driving sales takes a lot of hard work. It’s a very time-consuming process, where you have to research potential clients, pitch to prospects, and keep following up with them before you close a deal. Anything that can automate this process will certainly help salespeople close more deals and grow their business faster. The Read More
Source – insidebigdata.com In this special guest feature, Matthew Mahowald, Lead Data Scientist and Software Engineer for Open Data Group, shares his perspectives on how the speed at which tech and tools have been developed, has caused problems with the way analytic deployment is made possible. Matthew holds a Ph.D. in Mathematics from Northwestern University, with a Read More
Source – purdueexponent.org Purdue could soon be considering important initiatives, a new building, and a system to keep everyone informed about campus assets to improve its efforts in data science. Professors, graduate students and academic advisors gathered Thursday to discuss the topic in forum. They were divided into department-based tables and brainstormed in smaller groups. “One Read More
Source – forbes.com The rapture of the machines. The subject of fiery debates and endless banter. Everyone is talking about how robots are going to get all our jobs and take over the entire world as soon as they get brains of their own. But that’s not how the real world is supposed to work. In Read More
Source – zdnet.com Pervasive data science is becoming a core enabler of business innovation and competition. Given this importance, it’s worth examining the context of data science to consider its trajectory and future value. In my view, primary challenges around data science for business leaders comes from threesources: Business people do not always understand the power and implications Read More
Source – bbc.com Computer scientists have developed artificial intelligence that can outsmart the Captcha website security check system. Captcha challenges people to prove they are human by recognising combinations of letters and numbers that machines would struggle to complete correctly. Researchers developed an algorithm that imitates how the human brain responds to these visual clues. The Read More
Source – insidebigdata.com Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. With the proper tools and techniques, this data can be used to make rapid scientific discoveries and develop and incorporate more Read More
Source – hbr.org Artificial intelligence is no longer just a niche subfield of computer science. Tech giants have been using AI for years: Machine learning algorithms power Amazon product recommendations, Google Maps, and the content that Facebook, Instagram, and Twitter display in social media feeds. But William Gibson’s adage applies well to AI adoption: The future Read More
Source – mit.edu Every year 40,000 women die from breast cancer in the U.S. alone. When cancers are found early, they can often be cured. Mammograms are the best test available, but they’re still imperfect and often result in false positive results that can lead to unnecessary biopsies and surgeries. One common cause of false positives are so-called Read More
Source – dataconomy.com The importance of data science is only going to grow in the coming years. As we see the results of our data-empowered work take form in how we shape our businesses, our products and our own goals, we are beholden to take a reflective gaze at the relationship between our daily tasks and Read More
Source – itproportal.com Most people will at the very least know someone who has been the victim of online fraud. Recent figures from Cifas revealed that a record-breaking total of 89,000 cases of fraud were recorded in the first six months of the year in the UK. The study found that while the number of identity Read More
Source – wsj.com About two decades ago, genetically modified organisms came into popular use. And the technique quickly drew fire from critics for introducing DNA from one organism into another. Now there are new technologies on the rise that promise to reshape the world of agriculture. Data science is making it possible to get a much Read More
Source – timesofindia.indiatimes.com HYDERABAD: Banking, Financial Services & Insurance (BSFI) professionals in Hyderabad are beating their IT counterparts when it comes to learning analytics, according to findings by a data science institute with centres in major IT cities such as Delhi NCR, Pune, Mumbai, Bengaluru, Chennai and Hyderabad. While IT tops the enrolment at every other centre, Hyderabad, where 39% of the Read More
Source – zdnet.com At its GitHub Universe conference this week, GitHub is announcing a series of automated coding features, demonstrating how machine learning and data science can be applied to software development. The new tools will leverage the intelligence aggregated on the online code sharing and development platform over its nearly 10 years in existence, helping developers track Read More
Source – ejinsight.com It has been reported that some people are stealing data about tigers in Indian wildlife reserves, raising concerns over data abuse. Wildlife data tracking used to rely on field observations recorded by experts. However, the lack of standard formats makes it difficult to process such data. Fortunately, technological advancements in tracking systems, such Read More
Source – smithsonianmag.com orget lightning speed calculations, technological superiority and machine-like precision. Thanks to the efforts of some researchers, artificial intelligence can now create magic “We’ve done a number of different tricks involving artificial intelligence,” says Peter McOwan, a computer science professor at Queen Mary University of London. Forget lightning speed calculations, technological superiority and machine-like Read More
Source – techcrunch.com he thorny issue of tracking of location data without risking individual privacy is very neatly illustrated via a Freedom of Information (FOI) request asking London’s transport regulator to release the “anonymized” data-set it generated from a four week trial last year when it tracked metro users in the UK capital via wi-fi nodes Read More
Source – itproportal.com It’s a key question for many data scientists – especially those that are new to the field: is Python or R better for data science? For those first venturing into the world of data science, it’s important to master one language first, rather than looking to be a Jack of all trades from Read More
Source – livemint.com New Delhi: Changing customer expectations, falling customer satisfaction, and the promise of lower operating costs are among the major reasons why companies are increasingly adopting artificial intelligence (AI)-powered chatbots for use as virtual agents or assistants. The banking, financial services and insurance (BFSI) sector is clearly taking the lead in India. Consider the case Read More
Source – searchdatamanagement.techtarget.com NEW YORK — In the rush to capitalize on deployments of big data platforms, organizations shouldn’t neglect data quality measures that can ensure what’s used in analytics applications is clean and trustworthy, experienced IT managers said at the 2017 Strata Data Conference here last week. Several speakers pointed to data quality as Read More
Source – forbes.com The use of artificial intelligence (AI) is growing, and according to a report by Accenture, it is expected to double economic growth by 2035 with its integration. From simple AI pieces to more complex problem-solving uses, the technology has multiple benefits that can help make employees more productive, efficient and error-free. Using AI as an Read More
Source – venturebeat.com Oracle added machine learning to its cloud management product to help better secure businesses against threats. The renamed Management and Security Cloud will take in data from on-premises and cloud infrastructure, then analyze them to help determine what might be a threat to a company’s data. When the system determines that something fishy is going Read More
Source – networkworld.com Nvidia and server makers Dell EMC, HPE, IBM and Supermicro announced enterprise servers featuring Nvidia’s Tesla V100 GPU. The question is, can servers designed for machine learning stem the erosion of enterprise server purchases as companies shift to PaaS, IaaS, and cloud services? The recent introduction of hardened industrial servers for IoT may indicate Read More
Source – lightreading.com Data science techniques have been around for many years and successfully applied in several areas like fraud detection, personalized recommendations, etc. Most recently, these techniques are being leveraged in service provider and telco network operations. The combination of SDN/NFV and data science is becoming a powerful new approach for making networks more reliable Read More
Source – techcrunch.com Microsoft, just like many of its competitors, has gone all in on machine learning. That emphasis is on full display at the company’s Ignite conference this where, where the company today announced a number of new tools for developers who want to build new A.I. models and users who simply want to make use of these Read More
Source – governmentcomputing.com Data Science Accelerator programme offers chance to experiment with different data science techniques and open source software A key data science joint initiative between the Office for National Statistics (ONS), the Government Digital Service (GDS) and the Government Office for Science and Civil Service analytical professions is approaching a closing date for applicants. The Data Read More