Salesforce has joined hands with the artificial intelligence startup, MetaMind. In a wise move, Salesforce has managed to integrate deep learning with its data science capabilities, beating other leading companies in their pursuit of machine learning and artificial intelligence. Salesforce acquires Palo-Alto-based deep learning company, MetaMind, the companies announced on April 4. Launched in July 2014, MetaMind specializes in artificial intelligence (AI) techniques of data crunching to help businesses arrive at better decisions. While the terms of the deal still remain undisclosed, the AI startup will shut down services on May 4 for their unpaid users, and on June 4 for the monthly recurring users. "[R]eal AI solutions with breakthrough capabilities that further automate and personalize customer support, marketing automation, and many other business processes," says MetaMind CEO Richard Socher, who added that he is "thrilled" with the integration.

An exotic stranger needs help, and you're the only one able to provide it. On any given day, a handful of those pleas still file into your email's spam folder. And if you replace "collect an inheritance" with "find true love," they're an increasing menace for dating apps and services. But they are an increasingly important front for criminals, who in turn use increasingly sophisticated methods to snare their marks, and take them for whatever they can. A recently released list, by a fraud-busting company called Scamalytics, of the top lines and photos used in profiles by online dating grifters shows that while the range of sophistication may vary, the end goal is always the same: To fleece romance-seekers out of their money.

Recruiting has become the digital equivalent of looking for an elusive needle in a very, very large haystack. Artificial intelligence (AI) is fast becoming an invaluable tool for recruiters and hiring managers in sifting through that haystack, scouring applicant pools and matching the right talent to the right jobs. Consider the Palo Alto–based startup Connectifier, which is used by companies like PayPal and Netflix. It aggregates publicly available information about potential job candidates--think professional networking profiles and social media interactions--and gathers the data in its own search index. The company's AI algorithm then creates personal profiles of candidates and extracts insights about whether they would be a good match for a job, even if they're not actively searching for a new one.

Isabel Dedring, Deputy Mayor, Transport at Greater London Authority will be a keynote speaker at the event of 28th June, hosted at The House of Lords. Dedring will explore how policies have to change in order for cities to be able to adapt to these changes in an ideal way. To download the brochure and to attend the Intelligent Mobility event, please visit http://frost.ly/78. The two major concerns connected to cars are accidents and pollution – which will be significantly reduced or even eliminated, once electric vehicles and autonomous driving work together. AI enabled automated driving also has the potential to eliminate traffic jams, as Frost & Sullivan Senior Partner Sarwant Singh explains: "Today, when you are caught in a traffic jam, it is already too late. In future, AI combined with data analytics could predict a traffic jam, avoiding not only you getting into the traffic jam but preventing congestion in the first place."

Back in Autumn 2015, Amazon quietly acquired a Californian artificial intelligence startup that specialises in photo-recognition technology, according to a new report from Bloomberg. The publication bases its story on an unidentified source "familiar with the matter" -- as well as the fact the startup's website is now owned by an Amazon subsidiary. If you visit the website of Orbeus -- the company Amazon has apparently acquired -- now, you're greeted by by a short message saying it "is no longer taking new customers. Thank you very much for your interest and support. But last year, its website boasted that its "revolutionary image recognition technology helps computers to see like human beings."

Amazon.com, Inc. (NASDAQ:AMZN) completed a discrete acquisition, last fall, when it took over Sunnyvale California-based artificial-intelligence (AI) startup Orbeus Inc. Bloomberg cites sources that claim that Amazon has absorbed almost all of Orbeus' workforce in its own teams though the financial terms of the acquisition deal remain undisclosed. Orbeus is known for applying machine-learning tools on image processing. Prior to its takeover by Amazon, Orbeus had an AI tool under development that could use neural networks to identify, and categorize the content in various images. Its customers were mostly developers, who could purchase its image-processing application programming interface (API) called, ReKognition. The startup also designed an Android and iOS app called, PhotoTime which helps tag photos instantly.

If you put water on the stove and heat it up, it will at first just get hotter and hotter. You may then conclude that heating water results only in hotter water. But at some point everything changes – the water starts to boil, turning from hot liquid into steam. Automation, driven by technological progress, has been increasing inexorably for the past several decades. Two schools of economic thinking have for many years been engaged in a debate about the potential effects of automation on jobs, employment and human activity: will new technology spawn mass unemployment, as the robots take jobs away from humans?

Logistic regression is a classification algorithm traditionally limited to only two-class classification problems. If you have more than two classes then Linear Discriminant Analysis is the preferred linear classification technique. In this post you will discover the Linear Discriminant Analysis (LDA) algorithm for classification predictive modeling problems. This post is intended for developers interested in applied machine learning, how the models work and how to use them well. As such no background in statistics or linear algebra is required, although it does help if you know about the mean and variance of a distribution.

Description: This paper presents some interesting research results on the knowledge representability of the Z Modal Logic. These results are the applications of the postulates presented by Peter Gärdenfors, for an episthemological theory, on the validation of a generalized version of the "Frame Axiom", originally proposed by F. Brown et al. for nonmonotonic reasoning.

Artificial intelligence is being used all around is, but it looks nothing like The Jetsons. So why are people panicked that robots will take their jobs? The World Economic Forum warned that robots and technological advances will take more than 5 million jobs from humans over the next five years. Machine learning has undoubtedly earned its place in the workforce, but machines don't necessarily have to replace humans – they can in fact enhance the work humans can do. One area where machine learning is flourishing is in the localisation and translation industry.