Austin-based SparkCognition, a startup applying artificial intelligence and machine learning to the cybersecurity market, has raised 6M in a Series B funding round. The funding came from CME Ventures, Verizon Ventures, The Entrepreneurs' Fund (TEF), and Alameda Ventures. The startup--led by Amir Husain--said the Series B was oversusbcribed. SparkCognition says it has developed machine learning technology which it is applying to both Internet-of-Things (IoT) and cyber security, to automatically detect and identify attacks in IoT infrastructure.

Specifically, Aarki has promoted Dr. Yumio Saneyoshi to senior vice president of product, and Mark Kalygulov to vice president of engineering. The company's proprietary mobile advertising platform - Aarki Encore - is widely recognized as the leading technology in the industry. About Mark Kalygulov Mark Kalygulov is the head of Aarki's diversely skilled engineering team. As vice president of engineering, Kalygulov will continue to grow Aarki's global infrastructure, expand the scale of existing projects and drive new technological initiatives.

The traditional approach to science involves collecting data, analyzing the data and publishing the findings in a paper. Microsoft, Google, Facebook and Amazon have been making remarkable progress developing artificial intelligence systems. Neither the motivations of DARPA nor OpenAI explain exactly why these commercial technology companies are open sourcing their AI code. Open-sourcing AI serves these companies' broader goals of staying at the cutting edge of technology.

This post is made up of a collection of 10 Github repositories consisting in part, or in whole, of IPython (Jupyter) Notebooks, focused on transferring data science and machine learning concepts. This warmup notebook is from postdoctoral researcher Randal Olson, who uses the common Python ecosystem data analysis/machine learning/data science stack to work with the Iris dataset. Aaron Masino has shared a series of very detailed, very technical machine learning IPython Notebook learning resources. From UC Boulder's Research Computing group, this older collection of notebooks (it's from way back in Fall 2013) covers a wide range of material, with an apparent focus on Linux command line-powered data management.

California: Internet giant Google has asserted that its Artificial Intelligence(AI) and cloud computing is the most lucrative and promising businesses in the tech industry. That AI type of service-based business is fast becoming the new way to reap profits in the tech industry, the California-based tech giant said. Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behaviour.

So I have a dashboard with reports I can interact with to understand why something happens, and that typically reduces the numbers of manual steps before I can make a decision and take some actions. Whether it's IoT, big data or analytics, companies have a lot more data to base their decisions on, and data-driven decision making sounds obvious. More positively, Avanade's new study of smart technologies says business leaders globally expect to be using digital assistants and automated intelligence for problem solving, analysing data, collaborating and making decisions – and they also expect them to increase revenues by more than a third. Certainly, early adopters that Accenture has spoken to who are using machine learning to improve the way they manage customer service, financial resources and risk and compliance, in sales and marketing and in developing new areas of business found "significant, even exponential, business gains" in costs, revenue and customer performance, by using a mix of what Oberoi calls "perceptual intelligence" using natural language and voice biometrics, advanced analytics and business decision support .

I always thought that you can tell a lot from CV's but at the end, you will only decide if you meet that person or not". I think what makes a successful professional is more about "if you got the right mindset, have you got the right team, because at the end of the day it's a team what makes something work (also the product), but I think investors invest on the teams rather than on the idea". This startup has a personality analysis that constantly learns through a user's social behaviour on the web. Check out some cool startup products here.

Even though more than 20 years have passed since Doom's release, the methods for developing AI bots have not improved significantly in newer FPS productions. The participants of the Visual Doom AI competition are supposed to submit a controller (C, Python, or Java) that plays Doom. Although the participants are allowed to use any technique to develop a controller, the design and efficiency of the Visual Doom AI environment allows and encourages participants to use machine learning methods such as reinforcement deep learning. Each game will be repeated 12 times for track 1 and 4 times for track 2, which involves three maps.

InnoTREE, a Chinese Internet-based equity financing and investment service provider, said it has produced the world's first artificial intelligence (AI) robot for investment purposes, the China Business Times reported on Tuesday. Teng Fang, co-founder of InnoTREE, said an AI investment robot can process the equivalent of 40 hours of work by a senior analyst in one hour. "In terms of its cognitive abilities, the AI investment robot is capable of replacing an investment manager with three to four years of work experience." In addition, the AI investment robot can analyze and model statistics data obtained from the comprehensive evaluation of projects, and list companies with the most potential through model operation, it was added.

Driverless car technology has been one of the most anticipated disruptions of a major global industry. With so many companies jostling to be among the first to integrate artificial intelligence into the world's billion-plus automobiles, the speed with which the wider industry is expected to adopt these cutting edge technologies is impressive. By 2021, sales of connected car technologies are predicted to triple to almost 180 billion. It is not difficult to see why the driverless car industry shows such promise.