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This MIT-designed AI can predict up to 85% of cyber attacks

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An AI created by scientists at the Massachusetts Institute of Technology (MIT) uses machine learning to detect suspicious activity - getting it right 85 per cent of the time. The system uses an algorithm called "AI2", that detects anomalies, in conjunction with a human expert, because AI2 on its own can lead to false positives, according to MIT News. "The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions," said one of the researchers behind the project, Kalyan Veeramachaneni. "That human-machine interaction creates a beautiful, cascading effect." The merging of artificial intelligence and what researchers call "analyst intuition" has allowed for this new system to be successful in its early development, Veeramachaneni and fellow scientist Ignacio Arnaldo said.


Talking Tech with Microsoft in London

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We're excited to invite you to our first Talking Tech with Microsoft event in London. Our engineers from Microsoft Research, Bing and Aria will be talking to you about some breakthrough technologies we are developing and sharing their technical best practices. Come, join us to learn from and get inspired by Microsoft professionals! It won't be just us talking, you will also have the opportunity to ask questions, network with like-minded people and explore opportunities to join the teams in our offices should you be open for new challenges. Oh, and there will be refreshments… don't worry, we know how to treat our guests:) Innovative, real world, high scale machine learning applications developed at Microsoft Research Cambridge will be described and demonstrated.


Virtual Assistants Need Machine Learning, But They Need People Too Articles Analytics

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Humans behind the scenes are vital for helping virtual assistants to learn how to interact with people as if they were real people themselves. At the moment, one of the main things holding adoption of virtual assistants back is the public's discomfort with communicating machines using their own voice. Amazon's Alexa is working to humanize its responses by adding in'hmms' and'ums' into her responses. Apple's Siri assistant too is renowned for making wry jokes. To do this, companies are hiring writers to help build the assistant's personality.


Microsoft Build 2016: fun for developers and good news for business

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San Francisco played host to Microsoft's Build Conference last week. It was with excitement and anticipation (plus a little envy) that I caught up with the keynotes and presentations online. And I wasn't disappointed – Microsoft has certainly made some clever moves to bring even better services to the development community with businesses likely to reap huge benefits. If you didn't have the time to either fly to San Francisco or watch the conference online, here are my key take outs that are likely to impact our clients in the near future: Microsoft has successfully removed the two major barriers to building apps for all mobile devices: cost and complexity. In February this year Microsoft announced the acquisition of Xamarin.


MIT's new AI can already detect 85% of cyber attacks

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The world has seen numerous major cyber attacks in the past couple of years, with targets ranging from government agencies to health insurers to entertainment companies. A group of scientists at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) are working to create a line of defense against these threats to privacy and security. They've developed an AI that can detect attacks on networks as they happen, 85 percent of the time. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May. AI2, short for Artificial Intelligence Squared, looks at data to detect suspicious activity.


MIT's new AI can already detect 85% of cyber attacks

#artificialintelligence

The world has seen numerous major cyber attacks in the past couple of years, with targets ranging from government agencies to health insurers to entertainment companies. A group of scientists at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) are working to create a line of defense against these threats to privacy and security. They've developed an AI that can detect attacks on networks as they happen, 85 percent of the time. Our biggest ever edition of TNW Conference is fast approaching! AI2, short for Artificial Intelligence Squared, looks at data to detect suspicious activity.



Social Business Spotlight Blog

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Gloria Lombardi speaks with software startup advisor Steve Ardire to explore the state of Artificial Intelligence (AI) and its implications for the future of work. In Part 1 of this post, we covered the meaning of AI vs. machine intelligence and how AI will affect the future of work. Now we turn our attention to what's going on in the AI market and what this technology could mean for healthcare in particular. AI technology is developing, fast. "In 2016," Ardire says, "we are already seeing the emergence of applications for human resources, marketing and communications, sales, customer service, market and risk intelligence and more."


Researchers Use Artificial Intelligence To Help Identify Cancer Cells

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PITTSBURGH (KDKA) – Scientists say they have developed a new technique for identifying cancer cells in a blood sample more accurately and faster thanks to artificial intelligence. Researchers at the California NanoSystems Institute at UCLA developed the technique that combines a special microscope with an artificial intelligence algorithm to identify cancerous cells. Using the new method could reduce the time and energy to diagnose cancer, allowing doctors to treat it more quickly. The new microscope is called a photonic time stretch microscope, which uses nanosecond-long pulses of light to capture images of hundreds of thousands of cells per second. Researchers say it works by taking pictures of flowing blood cells, the way a camera uses a flash.


The Discovery of Machine Learning

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"Any sufficiently advanced technology is indistinguishable from magic" – Arthur Clarke In the space of technology, this quote has never been so true. Daily discoveries are not uncommon, with yearly revolutions seldom missed. Machine learning has recently been exploding in popularity, with everyone rushing to see how it can benefit their lives, but how did we get to this stage of innovation? This discovery process of machine learning is what you will learn from this article. I was surprised by how much I learned researching machine learning's upbringing, there is enough drama and action to write a novel about it.