The new Endpoint Protection uses machine learning, cloud capabilities and memory exploit to neutralise threats. Symantec has introduced Endpoint Protection 14, based on machine learning, to defeat cyber threats at endpoint. With the innovative protection techniques, the security company claims that the solution can stop and give response to threats at the endpoint itself, no matter how the attack is launched. According to the company, Endpoint Protection 14 is the first solution to combine essential endpoint technologies with machine learning and memory exploit mitigation in a single agent. Symantec says that the new product is a light weight package and claims that it has 99.9% efficacy, lower rate of false positives and 70% reduced footprint compared to previous generations, thanks to cloud lookup capabilities.

Celgene and IBM are teaming up on a new patient safety monitoring platform to improve pharmacovigilance methods throughout the drug development process. The platform, dubbed IBM Watson for Patient Safety, will combine Watson's cognitive computing chops with Celgene's extensive experience in drug safety and risk management. It will be an outcome- and evidence-based drug safety decision support system for life sciences companies, the duo said in a statement. It will run on the Watson Health Cloud. The highly automated, modular, end-to-end drug safety platform will allow for the rapid collection, collation and automated analysis of vast amounts of data from a variety of sources, the companies said in a statement.

IT giant Fujitsu has been developing a series of in-house technologies aimed at the burgeoning market of artificial intelligence and machine learning. Although the company has made less fanfare of its ambitions in this regard than companies like IBM, Google and Microsoft, the Japanese multinational seems intent on expanding its datacenter business into this new high-value segment. The step-up in AI focus has been especially noticeable over the past several months, where hardly week went by without an announcement of a new technology or use case. In fact, Fujitsu has issued no less than 15 press releases on AI or machine learning since the beginning of 2016. Most are the result of technologies developed at Fujitsu Laboratories.

Project Tokyo was inspired in part by the results of related research at Microsoft that demonstrate possibilities from emerging technology. The Cognitive Services Face API used in the Seeing AI research project highlights the potential benefit of improved facial recognition technology. The Cities Unlocked project taps rich streams of geo-based data to accurately inform users of the proximity of landmarks and destinations via a 3D SoundScape experience. We're excited about the prospect of entirely new prototypes emerging in Project Tokyo as a result of the enhanced expertise developed under these efforts along with the expertise provided from our partners.

Virginia Rometty talks about how her company has changed its focus as the world has changed. ROMETTY: It's very customized and tailored, and learns from how you behave and what you do. Everything from reminding you to pick up your child's prescription on the way home, to it knows your coffee, it orders it for you, and it gets smarter and smarter from all these interactions. This will roll out with 2017 cars. ROMETTY: I expect that to be happening through lots of clients.

The UK fintech market is experiencing a new wave of innovation. Developments in artificial intelligence and machine learning are giving rise to a new generation of fintech startups. Prop trading houses and hedge funds have been using machine learning techniques for years to beat financial markets. It's interesting to see A.I. making its way into mainstream fintech. Companies are leveraging the technology to make sense of large volumes of data, making financial products and services more accessible for the end user.

Comma.ai cancels breakthrough self-driving vehicle kit amid federal inquiry In'Hyper-Automation' Push, Wipro To Use AI To Do The Work Of 10000 Engineers By End 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.

Last week, Apple launched its latest MacBook Pro laptops. They are deluxe, powerful machines with innovations including the Touch Bar, where the top row of function keys is replaced by a touch-sensitive screen where different functions appear, changing as you change programs. The new models also have a fingerprint sensor built into the power button, to buy stuff online faster than you can say "impulse purchase". In this exclusive interview, Philip Schiller, Senior Vice President of Worldwide Marketing, told The Independent all about them. Schiller is a familiar face at Apple keynotes, mixing a dry sense of humour with bullish, on-message statements.

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. Learning regression machine learning is indispensable for data mining applications in areas such as consumer analytics, finance, banking, health care, science, e-commerce and social media. It is also essential for academic careers in data mining, applied statistical learning or artificial intelligence. And it is necessary for any business forecasting related decision. But as learning curve can become steep as complexity grows, this course helps by leading you through step by step real world practical examples for greater effectiveness.

This package contains the mlpack Library development files. . Machine Learning Pack (mlpack) is an intuitive, fast, scalable C machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a "swiss army knife" for machine learning researchers. This package contains the mlpack Library runtime files. . Machine Learning Pack (mlpack) is an intuitive, fast, scalable C machine learning library, meant to be a machine learning analog to LAPACK.