"Apply Machine Learning like the great engineer you are, not like the great Machine Learning expert you aren't." This is the first sentence in a Google-internal document I read about how to apply ML. In my limited experience working as a server/analytics guy, data (and how to store/process it) has always been the source of most consideration and impact on the overall pipeline. Ask any Kaggle winner, and they will always say that the biggest gains usually come from being smart about representing data, rather than using some sort of complex algorithm. Even the CRISP data mining process has not one, but two stages dedicated solely to data understanding and preparation.

The benefits of machine learning continue to trickle down to smartphones and gadgets, and chipmaker Qualcomm wants to help speed up the process. The company is launching a new software development kit for its "machine intelligence platform" Zeroth. This SDK will make it easier for companies to run deep learning programs directly on devices like smartphones and drones -- if they're powered by one of Qualcomm's chips, of course. Right now, you're probably using all sorts of deep learning programs you don't know about. Companies like Google and Facebook use this sort of software for things like image and voice recognition, but usually, this process happens in the cloud, with the results beamed to your phone.

AI and machine learning have been a topic of science fiction for years, and they'll continue to be. But this talk isn't about science fiction--it's about all the amazing new things that machine learning is already doing for us today. It is already around us, in many many products. See where machine learning is used today and how you can use TensorFlow to make it a part of everything you do. See all the talks from Google I/O 2016 here: https://goo.gl/olw6kV

Amid a growing crisis in digital marketing, "personalization" has become a goal that many enterprises see as solution to consumer complaints of "irrelevance." However personalization is like a unicorn that many are chasing but few have captured. Customer data management provider Lytics this week introduced a new platform that promises to bring both greater simplicity and sophistication to personalization efforts across channels and devices. The pitch is "personalized marketing right out of the box." Lytics Personalization, as the product is called, uses an intuitive UI and machine learning to deliver more segmented experiences and messaging on customer websites.

Watson, developed by IBM, is a question-answering computer system capable of answering questions posed in natural language. Watson rose to national prominence in 2011 by competing on the television game show Jeopardy! Watson prevailed over the human competitors and received the first place prize of 1 million. Now, IBM is focusing its artificial intelligence prowess on the billion dollar advertising industry. Through its recent acquisition of the Weather Co. media properties, IBM is planning to roll out digital ads that people can communicate with this fall.

Rosetta navigation camera (NavCam) image taken on 17 June 2016 at 30.8 km from the centre of comet 67P/Churyumov-Gerasimenko. The image measures 2.7 km across and has a scale of about 2.6 m/pixel. The image has been cleaned to remove the more obvious bad pixels and cosmic ray artefacts, and intensities have been scaled. Another version of this image, which has been contrast enhanced, is available here. More images of comet 67P/Churyumov-Gerasimenko can be found in the '67P – by Rosetta' collection. This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 IGO License.

Self-driving cars may be the new direction for the automotive industry, even though realistically it could be decades before we start seeing them all around us. That isn't stopping some from pondering a moral dilemma these cars may pose. When you take the control away from the driver, you are giving the motor vehicle power to make judgment calls. In many ways, you give a machine the power to choose your fate in specific scenarios. This is the very thing physicist Stephen Hawking warned us about, as he believes artificial intelligence could lead to a very real Terminator scenario.

As artificial intelligence gains popularity, designers will need to adapt. Here's how to get started. It seems like everyone wants to invest in artificial intelligence (AI). And it's not just the tech giants: USAA is using AI to protect its users from identity theft and Under Armour has connected its health app, MyFitnessPal, to IBM Watson so users can get a more thorough read of their health. AI is already a 15 billion dollar industry, according to the MIT Technology Review, with more than 2,600 companies developing their own tech, and the value of AI is reported to rise to over 70 billion by 2020. Because of AI's business opportunities, hundreds of designers in digital agencies, people who were taught to create products and services that live on the Internet, are starting to build physical products that interact with us, respond to our moods, and make decisions for us.

Artificial intelligence has crept into our everyday lives, even though we're not always aware of it. Here are some examples of AI's many applications. Journalists might not care for this, but AI programs are becoming smart enough to compile bits of information and turn them into articles. What's critical to understand about the potential impact machine learning can have on a manufacturing business lies in the way data is studied. The use of artificial intelligence that relies on natural language understanding is vital for achieving the potential outcomes mentioned above - otherwise, market intelligence would be based purely on statistical patterns and not contextual meaning.

In what is being perceived as another attempt to tighten its control over the internet, China's internet regulator on Saturday announced new rules that ban search engines from showing subversive information and obligate them to clearly identify paid results. The new regulations, which will take effect from Aug. 1, come close on the heels of the death of a 21-year-old college student, who is believed to have undergone an unapproved, experimental cancer treatment he found using the search engine Baidu. "Some search results lack objectivity and fairness, go against corporate morals and standards, misleading and influencing people's judgment," the Cyberspace Administration of China -- the country's internet regulator -- reportedly said. "Internet search providers should earnestly accept corporate responsibility toward society, and strengthen their own management in accordance with the law and rules, to provide objective, fair and authoritative search results to users." In addition, search engines would also be required to censor "rumors, obscenities, pornography, violence, murder, terrorism and other illegal information" -- regulations that the Chinese government claims are needed to safeguard the security of its citizens.