In 2011, cybersecurity researcher and entrepreneur Stuart McClure spent his last year working at McAfee, as the company's global chief technology officer, apologizing a lot. McClure said hackers were slipping into McAfee customer networks and each subsequent breach seemed worse than the last. McClure would have to meet with each of the big McAfee corporate customers to explain why the software failed and at the end of each meeting someone would ask McClure the same question: "'What type of security software do you use on your machine to prevent cyber attacks?'" The customers would then wait, pens poised above a piece of paper to jot down the long list of layer after layer of high-end software that the global CTO of a multimillion-dollar security company would surely recommend. "I would tell them I only trust my brain and my hand, because there are no new ways to breach a network," says McClure of his former employer, which is now owned by Intel.

Auto parts and electronics maker Delphi Corp. has signed a deal with Intel to buy high-powered computer processors for Delphi's future autonomous vehicle systems. Delphi says Intel's added computing capacity will be needed as autonomous car systems gather and store more and more information while expanding their ability to deal with situations on real roads. In August, Delphi announced that it had joined with Israeli software maker Mobileye to develop the building blocks for a fully autonomous car in about two years. Intel Corp. will supply Delphi with high-capacity computers needed to process input from radar, cameras and laser sensors as well as maps of roadside landmarks. Glen De Vos, vice president of Delphi's business-services unit, says the Intel deal gives the company everything it needs to develop an autonomous-driving package to sell to automakers. Delphi makes its own radar and laser sensors and uses Mobileye's cameras and software.

Incase you missed it, here are the prequels to this article about the Mobile Vision API. The first post was on the Face Detection API while the second was on the Barcode Detection API. According to the overview, the Text Detection API allows for detecting text in images and videos and it breaks down those texts into blocks (paragraphs/columns), lines (sets of words on the same vertical axis) and words (set of alphanumeric characters on the same vertical axis). The API recognizes text in various Latin based languages. I'll write about what's possible with this API before I go ahead to explain how to use it .

Let us narrow down the phrase "implementing from scratch" a bit further in context of the 6 points I mentioned above. When we talk about "implementing from scratch," we need to narrow down the scope to make this question really tangible. Let's talk about a particular algorithm, simple logistic regression, to address the different points using concrete examples. I'd claim that logistic regression has been implemented more than thousand times. One reason why we'd still want to implement logistic regression from scratch could be that we don't have the impression that we fully understand how it works; we read a bunch of papers, and kind of understood the core concept though.

They say what happens in Vegas stays in Vegas. But that would be a wild mistake if applied to this circumstance. If you're a business leader or entrepreneur intent on staying competitive in the years to come, you'd best pay close attention. Last month, IBM hosted the World of Watson conference in Las Vegas aimed at raising awareness and educating participants about advances in computing over the last decade. But how did we get to this point?

Logojoy is a new kind of online logo maker. By using artificial intelligence, genetic algorithms, and a few other fancy technologies, we're empowering everyone to design their own logo. You don't need graphic design skills or a huge budget to create a logo – it's easy and affordable! Logojoy was created by designers on a mission to make it a delight for anyone to create an amazing logo - whether it's for their business, blog, or even club.

When you upload photos to Facebook, have you noticed that the website already seems to know who's in them? It's remarkable, and you can give the credit to big data. Face recognition software, like fraud detection and ad matching algorithms, draws on deep libraries of content in order to deliver the correct results. And these data collections are hard at work across the web and in many of your favorite apps. It comes as no surprise that developers have been hard at work on face recognition software since it's an integral part of security programs.

The Mill created a massive real-time data art installation built from the computation analysis of pop music, social media and news media by IBM's Watson. Natural language and musical compositions were assigned emotional values by Watson which we then translated into immersive visualizations that could be navigated by time, emotion and genre. Intricate color coding of the visuals was based on a five color palette, one each for joy, anger, disgust, sadness, and fear. Follow @Millchannel on Twitter, Facebook & Instagram for more updates.

If you asked the average person what they know about artificial intelligence (AI), they would probably launch into stories about intelligent computers taking over the world and rebellious robots running amok. While the misconception the movies have created may be wildly wide of the mark, AI is an area of technological development having a massive impact in all corners of our lives for generations to come. That's why Stanford University has launched a long-term project to study the impact of AI on society. A study that's not necessarily going to offer solutions, but will promote a dialogue about AI to guide us through the ethical, legal, and technological challenges machine intelligence might bring. I think that's a pretty cool undertaking.

Automation and artificial intelligence are no longer hype, but reality – the Fourth Industrial Revolution has begun! Over the next 3-5 years, combining advances in simple, easily configurable RPA technology with cognitive capabilities will lead to the cost reductions, improved performance and enhanced real-time decision making that all adds up to massive competitive advantage. RPA and Artificial Intelligence for Enterprise unites the needs of the 250,000-strong SSON and PEX Network communities to bring together those furthest along the maturity curve in automated and intelligent service innovation, like Vodafone, Barclays, ENGIE and even NHS Wales Shared Services, with those who are just starting out, like SAB Miller, LV and National Grid, for a frank and open discussion surrounding the best ways to compete in the digital business era. Combining scores of practical end-user case studies, multiple conference streams surrounding human workforce augmentation across the front and back-offices and over 15 hours of interactive sessions and networking, this is your one-stop shop for ensuring you build the value-adding, scalable, intelligent processes that meet the business needs of the future.