Technology


Google is fighting malware on Gmail with machine learning

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Email still reigns as one of the most popular places to target users and their data, mainly through the form of malicious attachments. Widely-used email clients such as Outlook, Apple Mail, and Gmail have been great at filtering out emails laced with these types of malware, but Google wants to do even better. Google opts in for more security -- In a blog post on Wednesday, Google announced its expansion with AI to better improve detection and detailed its process for spotting malicious documents. According to the company, 58 percent of all malware targeting Gmail users is spread in this way. The majority of these malicious files, Google says, are Microsoft Office documents.


Enterprise AI Adoption Gathers Steam – Incrementally, Selectively

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Artificial intelligence continues to gather steam in the enterprise. But it hasn't reached majority status among enterprises. Several roadblocks to more widespread AI adoption remain -- some linked to talent and data and some to perception– says a recent report from Cognilytica, a research firm. By 2025, according to "Global AI Adoption Trends & Forecast 2020," 40% will have deployed AI in some form, compared with 12% in 2020. These numbers indicate that AI in production is still tentative, and enterprises are incrementally making their way toward the technology only as they see immediate return.


Probability Distributions in Data Science - KDnuggets

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Bio: Pier Paolo Ippolito is a final year MSc Artificial Intelligence student at The University of Southampton. He is an AI Enthusiast, Data Scientist and RPA Developer.


How Voice Commerce is Dominating the E-Commerce Market Through AI?

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Artificial intelligence has the power of transforming anything remotely stupid into an intelligent object! Yes, AI has been doing this for quite some time now and with the rise of voice assistants, things have become more exciting. Businesses around the world, have now understood the importance of "Voice Commerce". It all began with speech-to-text technology developed by Google. 'Google Voice Search' has been launched for iPhones, this advance app utilized data centers so that it can easily compute data and can analyze data, this is actually a good example of human speech.


New data set helps train cars to drive autonomously in winter weather

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While the most sophisticated driverless cars on public roads can handle haboobs and rainstorms like champs, certain types of precipitation remain a challenge for them -- like snow. That's because snow covers cameras critical to those cars' self-awareness and tricks sensors into perceiving obstacles that aren't there, and because snow obscures road signs and other structures that normally serve as navigational landmarks. In an effort to spur on the development of cars capable of driving in wintry weather, startup Scale AI this week open-sourced Canadian Adverse Driving Conditions (CADC), a data set containing over 56,000 images in conditions including snow created with the University of Waterloo and the University of Toronto. While several corpora with snowy sensor samples have been released to date, including Linköping University's Automotive Multi-Sensor Dataset (AMUSE) and the Mapillary Vistas data set, Scale AI claims that CADC is the first to focus specifically on "real-world" driving in snowy weather. "Snow is hard to drive in -- as many drivers are well aware. But wintry conditions are especially hard for self-driving cars because of the way snow affects the critical hardware and AI algorithms that power them," wrote Scale AI CEO Alexandr Wang in a blog post.


GovExec Daily: The Ethics of Artificial Intelligence at the Pentagon – IAM Network

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Defense One's Patrick Tucker joins the podcast to discuss the set of rules to govern how the Defense Department develops and uses AI. DoD adopts new ethical principles for the use of artificial intelligence – SpaceNews.com


MIT discovers a powerful antibiotic using machine learning

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Massachusetts Institute of Technology (MIT) researchers have discovered a powerful antibiotic compound using their machine-learning algorithm to counter many of the world's deadliest bacteria, including some strains that are immune to all known antibiotics. It prevented infections in two different mouse models, according to MIT official release. An advanced computer model that can screen more than a hundred million chemical compounds was used to design potential antibiotics that can kill dangerous bacteria. Speaking about the discovery, James Collins, the Termeer Professor of Medical Engineering and Science at MIT stated in a press release: "We wanted to develop a platform that would allow us to harness the power of artificial intelligence to usher in a new age of antibiotic drug discovery. He added that the researchers at MIT revealed this "amazing" molecule which is arguably one of the most potent antibiotics that has ever been discovered.


Augmented Analytics Engine

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Role of Augmented Analytics in Future!! Insight generation is changing (and That's a Good Thing) Have you ever been in situation when you need quick insight generation but due to lack of resources and information you lost large amount of revenue? We live in data world, not only data but Big Data. Datasets are being generated in very large volume, variety and very high speed. Just forget about handling this type of data with your Traditional BI system. Due to scarcity of resources these traditional systems are sometimes incapable of generating the required insights.


Use your Amazon Echo to get the best sleep of your life

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Your Amazon Echo can help you get some much-deserved rest. It can be tricky trying to fall asleep when you have a million things running through your head. Did I remember to send that email? Should I have done that differently? It's enough to keep anyone up at night, especially if you're not getting enough sleep.


5 Key Trends Enterprises Must Address in 2020 - InformationWeek

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Are your enterprise's partners, customers, and employees growing weary of unfulfilled technology and innovation promises? Maybe there's a sense of resentment about technologies that don't work as promised. Or perhaps there's some concern about what's being sacrificed to pave the way for this technological progress. Fueled by headlines about the questionable ethics of big tech platforms such as Facebook, Google, and Amazon, this "techlash," or backlash, is directed against Silicon Valley tech firms and innovation. The general public has become more suspicious of technologies that seem creepy in terms of invading privacy and maybe even acting in a manner that is ethically questionable.