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How AI is transforming the work of software teams - Atlassian Blogs
This is a guest post written by Scott Middleton, founder and CEO of stratejos as well as part-time sausage maker. Will you still be doing your job in 5-10 years or will a robot do it for you? This is a question knowledge workers have started asking themselves as AI is becoming more capable and widely adopted. Atlassian co-founder and CEO, Mike Cannon-Brookes, has said AI will play a major role in the future of team productivity. Bank of America Merrill Lynch predicts that AI will have a $9 trillion impact on knowledge work over the coming decade.
Why Machine Learning May Disappoint Investors
We watched Facebook's AI education videos so you don't have to How the brain recognizes faces: Machine-learning system spontaneously reproduces aspects of ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.
Women In Machine Learning and Artificial Intelligence
This is a YouTube link to a PBS (Nova) documentary on IBM Watson: The smartest machine ever build - The first time I watched this, I thought'hey something is wrong here'. I went back and watched it again. I got another person to watch and validate - there were no women scientists, and there are hardly any women speaking in this documentary. Recently I read this article written a few months back with the title - Artificial Intelligence Has a'Sea of Dudes' Problem. The number of women in computing is low and it looks like the number of women in Machine Learning and Artificial Intelligence is even lower.
Birst Dishes Up Data Prep, ML Automation, and More
Groups of data scientists and regular users will be able to collaboratively prepare and share their data for analysis with the latest release of Birst's analytics platform. Version 6 of the company's suite also adds more automated smarts through tactical applications of machine learning, and extends the company's advancements in lineage tracking. Birst develops a well-regarded SQL-based analytics application that was developed from the beginning to run on multi-tenant cloud architectures. The software, which can be used on-premise or as a SaaS offering, stores data in column-oriented databases, such as Amazon Redshift, SAP HANA, or Exasol, while users interact with the data and create visualizations using Web and mobile interfaces. As a full-stack data analytics vendor, one of the analytic tasks that Birst tackles is data prep.
Amazon announces three new AI services called Lex, Polly and Rekognition for AWS – Tech2
Amazon has started to offer artificial intelligence based services on its AWS platform, to give developers more tools to engage with customers. The three new AI tools are called Lex, Polly and Rekognition. Lex is the technology that powers Amazon Alexa, and allows developers to integrate rich conversational experiences in their offerings. Polly is a state of the art text to speech service that has forty seven life like voices in twenty languages. Rekognition is an image processing service, that can identify content in images.
The five upstarts that are leading the AI and machine learning revolution ZDNet
In the past few years, the market for artificial intelligence (AI) and machine learning technologies has gained strong momentum. What's interesting, though, is that the much of the innovation in this space is driven by disruptors, not legacy vendors. These'upstarts' are companies born in the internet age or companies that have transitioned into the AI market, and are building out useful AI products that will likely broaden in their impact over time. Much like how Amazon Web Services (AWS) became the infrastructure provider of choice for many companies with the rise of the public cloud, many of these upstarts will see their products widen in application. While many of these companies might have originally created their product for a specific use case, it's possible that they will grow into platforms on which the company may build an additional revenue stream.
Facebook developing artificial intelligence to flag offensive live videos
Facebook Inc (FB.O) is working on automatically flagging offensive material in live video streams, building on a growing effort to use artificial intelligence to monitor content, said Joaquin Candela, the company's director of applied machine learning. The social media company has been embroiled in a number of content moderation controversies this year, from facing international outcry after removing an iconic Vietnam War photo due to nudity, to allowing the spread of fake news on its site. Facebook has historically relied mostly on users to report offensive posts, which are then checked by Facebook employees against company "community standards." Decisions on especially thorny content issues that might require policy changes are made by top executives at the company. Candela told reporters that Facebook increasingly was using artificial intelligence to find offensive material.
Pfizer Partners With IBM Watson To Advance Cancer Drug Discovery
IBM's Deborah DiSanzo made the announcement at the 2016 Forbes Healthcare Summit. Immunotherapy is an approach that uses the immune system to fight diseases, unlike chemotherapy, which kills cancer cells. Immunotherapy works on cells in the immune system to combat cancer. Dario Gil, director of symbiotic cognitive systems at IBM Research, holds a remote control wand while giving a demonstration of the IBM Watson immersion room during an event at the company's headquarters in New York Oct. 7, 2014. By partnering with IBM's Watson for Drug Discovery, Pfizer hopes to more quickly analyze and test hypotheses from "massive volumes of disparate data sources" that include more than 30 million sources of laboratory and data reports as well as medical literature.
Japan to Blaze New Territory with 130-Petaflop AI Supercomputer
The Tokyo-based National Institute of Advanced Industrial Science and Technology (AIST) is taking bids for a new supercomputer that will deliver more than 130 single precision petaflops when completed in late 2017. The system, known as the AI Bridging Cloud Infrastructure (ABCI), is mainly being built for artificial intelligence developers and providers, and will be made available as a cloud resource to researchers and commercial organizations. The ostensible goal is to "rapidly accelerate the deployment of AI into real businesses and society" – that according to a one-page fact sheet presented at the recent SC16 conference in Salt Lake City. But as is apparent from that document, the supercomputer will also support more traditional users of HPC and advanced analytics applications. The cloud aspect of the system will make it possible for outside entities to use its resources.