This article was originally published on the National Center for Supercomputing Applications website. In 2007, the Sloan Digital Sky Survey (SDSS) launched a citizen science campaign called Galaxy Zoo to enlist the public's help in classifying the hundreds of thousands of galaxy images captured by an optical telescope. Through this highly successful crowdsourcing effort, volunteers reviewed the images online to help determine whether each galaxy had a spiral or elliptical structure. Leveraging data generated by the Galaxy Zoo project, a team of scientists is now applying the power of artificial intelligence (AI) and high-performance supercomputers to accelerate efforts to analyze the increasingly massive datasets produced by ongoing and future cosmological surveys. In a new study, researchers from the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign and the Argonne Leadership Computing Facility (ALCF) at the U.S. Department of Energy's (DOE) Argonne National Laboratory have developed a novel combination of deep learning methods to provide a highly accurate approach to classifying hundreds of millions of unlabeled galaxies.

Laserfiche a leading global provider of enterprise content management (ECM) software announced that Laserfiche Cloud was named a Strong Performer in The Forrester New Wave: Cloud Content Platforms Multitenant SaaS, Q3 2019. Laserfiche Cloud was one of 13 vendors evaluated on the strength of its strategy and current offering. According to Forrester, "Laserfiche provides a robust workflow, strong app design, and development tools. Laserfiche offers strong transactional content services workflow, forms, capture, and robotic process automation. Its template and design tools give users flexibility; they can tailor apps for specific needs."

Global Artificial Intelligence (AI) in Agriculture Market 2019 by Company, Regions, Type and Application, Forecast to 2024 presents a detailed competitive outlook and systematic framework of Artificial Intelligence (AI) in Agriculture market at a global uniform platform. The report begins with the market summary, chain structure, past and present market size in conjunction with business opportunities in coming back years, demand and lack, various drivers and restrainers. The research study exhibits the historical data that analyzes respective analytical tools including porters five forces analysis, supply chain analysis, pricing analysis, and regulatory analysis. It offers a detailed analysis of top-line vendors along with revenue and cost profit analysis. The research covers a crucial market segmentation analysis that is a rich source of all essential segments including Artificial Intelligence (AI) in Agriculture types, applications, technologies, end-users, and regions.

"I'd say most of the opportunity to make computers improve work is in front of us rather than behind us," Gates said at a Microsoft Research gathering at the company's headquarters in Redmond, Wash., on Wednesday. These days, though he spends most of his time as cochair of the Bill and Melinda Gates Foundation, he retains a hand in shaping Microsoft's future as a technology adviser to CEO Satya Nadella. Gates characterizes even 2019's business software as a relatively short step up from pre-digital times, still at a "It's better than Wite-Out" level. Computers have been used mainly for "extremely structured tasks such as creating financial statements" where the machine leads the human through an "opaque" process, he said, and for jobs like writing emails where the human, not the machine, understands the significance and context of the content of the messages. But in another five years, the AI in Microsoft's products will have developed a deep understanding of the facts and language of users and their businesses.

Microsoft is investing $1 billion in OpenAI, a San Francisco-based research lab founded by Silicon Valley luminaries, including Elon Musk and Sam Altman, that's dedicated to creating artificial general intelligence (AGI). The investment will make Microsoft the "exclusive" provider of cloud computing services to OpenAI, and the two companies will work together to develop new technologies. OpenAI will also license some of its tech to Microsoft to commercialize, though when this may happen and what tech will be involved has yet to be announced. OpenAI began as a nonprofit research lab in 2015 and was intended to match the high-tech R&D of companies like Google and Amazon while focusing on developing AI in a safe and democratic fashion. But earlier this year, OpenAI said it needed more money to continue this work, and it set up a new for-profit firm to seek outside investment. To attract backers, OpenAI has made outrageous promises about the potential of its technology.

To answer the question, "Where's Waldo?" readers need to look for a number of distinguishing features. Several characters may be spotted with a striped scarf, striped hat, round-rimmed glasses, or a cane, but only Waldo will have all of these features. As described July 22, 2019, in Nature Microbiology, a team led by scientists at the U.S. Department of Energy (DOE) Joint Genome Institute (JGI), a DOE Office of Science User Facility, developed an algorithm that a computer could use to conduct a similar type of search in microbial and metagenomic databases. In this case, the machine "learned" to identify a certain type of bacterial viruses or phages called inoviruses, which are filamentous viruses with small, single-stranded DNA genomes and a unique chronic infection cycle. "We're not sure why we systematically manage to miss them; maybe it's due to the way we currently isolate and extract viruses," said the study's lead author Simon Roux, a JGI research scientist in the Environmental Genomics group.

Dr. Agyeya Tripathi has completed his Ph.D. and holds a Masters degree in Business Administration and another Masters in Electronics and Communication. He is a national resource person for Financial Inclusion under National Rural Livelihood Mission, Ministry of Rural Development, Government of India. Dr. Agyeya Tripathi has completed his Ph.D. and holds a Masters degree in Business Administration and another Masters in Electronics and Communication.

NEW DELHI: RecruVia, a legal tech and recruitment startup has secured an undisclosed amount of funding from a clutch of foreign and Indian-based investors. The company will utilise the fresh funds towards completing the development of its software-as-a-service (SaaS) self-learning recruitment search engine that will have the ability to search through large amounts of data (Curriculum Vitae/Job Description) to give job-seekers and end employers results based on key hiring parameters, while taking into account their individual preferences. RecruVia's clients include Uber, Khaitan & Co, Integreon, IndusLaw, Phoenix Legal and others, according to a release. Sachin Sukumar, founder, RecruVia said, "Our venture has a single aim – to make the search for the right legal candidate or job easy and provide a'fit for purposeness' to those recruiting / being recruited. The development of a machine learning based web-services engine is akin to a Google Maps API at the backend. This would be able to run on our marketplace as well as assist law firms and recruiters in finding the right fit of candidates while sifting through large number of CVs they already have or receive."

American researchers have developed an artificial intelligence tool capable of detecting whether a baby's cries mean they are hungry, they need changing, are tired, uncomfortable or that they want a cuddle. Over the long term, if exposed to a greater amount of more varied data, the algorithm could become a tool for interpreting a baby's cries. Parents who rack their brains trying to understand what their baby's cries might mean could one day be able to rely on artificial intelligence for help. Researchers from the University of Northern Illinois and the College of New Jersey in the United States have developed an algorithm which, they say, is able to identify the reason behind a young child's cries, reports the Quebec version of The Huffington Post. Of course, every infant is different, including how it cries.

Domino's AI pizza checker boosts customer quality scores 15% in a month Domino's Australia said its AI/machine learning order accuracy tool -- the so-called "DOM Pizza Checker" -- is turning in some pretty amazing results, just one month after it was first introduced this year and the rest of the Domino's system is watching closely. Natural Adversarial Examples Researchers introduce natural adversarial examples -- real-world, unmodified, and naturally occurring examples that cause classifier accuracy to significantly degrade. They curate 7,500 natural adversarial examples and release them in an ImageNet classifier test set that they call IMAGENET-A.