Paul Roetzer (@paulroetzer) is founder and CEO of PR 20/20, author of The Marketing Performance Blueprint and The Marketing Agency Blueprint, and creator of The Marketing Artificial Intelligence Institute and Marketing Score.

Investors haven't been happy with IBM (NYSE:IBM) lately. Since Ginni Rometty started as CEO in January of 2012, IBM has had 18 consecutive quarters of year-over-year declining revenue -- essentially every quarter of her tenure. The stock has lost nearly 10% compared with a gain of 78% for the S&P 500 over the last five years. For IBM shareholders, Ginni Rometty's four-year reign as chief executive officer hasn't been anything to go to Disneyland about. But her company has become a leader in one corporate category: board members willing to shovel incentive pay at a CEO turning in a mediocre performance.

Popular visions of artificial intelligence often focus on robots and the dystopian future they will create for humanity, but to understand the true impact of AI, its skeptics and detractors should look at the future of cybersecurity. The reason is simple: If we have any hope of winning the war on cybercrime, we have no choice but to rely on AI to supplement our human skills and experience. With the number and sophistication of cybercriminals continuing to grow, the technology industry has started to address this challenge through the use of AI. As with many new technologies, however, the good that AI can do is threatened by the misconceptions and hyperbole that surround it. For this reason, the technology industry must address these popular perceptions, and that starts with redefining AI as what it truly is: augmented intelligence.

Looking at this text, we already see complexity emerging. As a human reader, I'm sure you'll say this is a negative review, and undoubtedly there are some clearly negative words ("dreadful", "confusing", "terrible"). But to a high degree, negativity comes from negated positive words: "lacking achievement", "wasn't very funny", "not as good as she could have given". So clearly we cannot just look at single words in isolation, but at sequences of words – n-grams (bigrams, trigrams, …) as they say in natural language processing. The question is though, at how many consecutive words should we look?

When a newborn first opens its eyes, it sees the world around it as blurry shapes. But a few months later, its vision starts to focus and it will start to recognize people and objects. Researchers at UNC's School of Medicine have found out more about how the brains of baby mammal's develop as they refine their sense of sight, and the research may also help restore sight for people with vision problems. When a newborn first opens its eyes, it sees the world around it as blurry shapes. The research, which was conducted on mice and published in the journal Nature Neuroscience, is part of a wider project that aims to maps the areas of the brain that play key roles in vision processing.

Each year at the CES technology show, companies like LG, Samsung, and Intel flaunt their latest innovations. Supercomputers the size of a credit card, 4K TVs as thin as wallpaper, and smartphones that can 3D map their environment were just a few of the inventions showcased during this year's exhibition. But while CES can be a showcase for trends that are likely to dominate the tech world over the coming months, it's also home to the bizarre and strange. This year's conference, which officially concluded on Jan. 8, included demonstrations of everything from "smart" hairbrushes to "intelligent" toothbrushes and shoes that suck up dust and crumbs as you walk. You know what your next hair brush really needs?

LG is planning to improve the Smart Doctor, Quick Help, and LG Electronics Remote Consulting apps with machine learning features and other solutions powered by advanced artificial intelligence technologies, the South Korean consumer electronics manufacturer announced on Monday. The company's decision to ennoble its set of mobile tools comes as a part of a more general strategy to implement machine learning technology into after sales smartphone services. In addition to artificial intelligence, the Seoul-based tech giant is also looking into ennobling its services with big data analytics and similar solutions. The update process is expected to start during the first quarter of the year with the company currently focusing on providing remote after sales services via its selection of apps. While the Quick Help app is still only available in South Korea, LG promised to bring it to North America later this year.

How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you're simply looking for a "good enough" algorithm for your problem, or a place to start, here are some general guidelines I've found to work well over the years. If your training set is small, high bias/low variance classifiers (e.g., Naive Bayes) have an advantage over low bias/high variance classifiers (e.g., kNN), since the latter will overfit. But low bias/high variance classifiers start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren't powerful enough to provide accurate models.

The claim that cars will soon safely drive themselves on public roads -- more safely than humans -- sounds fantastic, if not impossible. Yet breakthroughs in artificial intelligence, a concept that's becoming more familiar to non-computer scientists, are powering technological advances that likely will bring many driverless capabilities within reach of automakers in the next five years. Many of the AI principles used by developers of autonomous and driverless software are based on the same used by IBM (IBM), which developed a chess program that first defeated a world champion in 1996, and by Alphabet's (GOOGL) Deep Mind unit that last week defeated the world Go champion. Alphabet is a holding in Jim Cramer's Action Alerts PLUS Charitable Trust Portfolio. Want to be alerted before Cramer buys or sells GOOGL?

As technology like artificial intelligence and autonomous abilities have become popular, more car companies have joined in on the development process. At CES 2017, Chinese search company Baidu and state-owned car company BAIC Group announced a partnership to develop self-driving cars for the Chinese marketplace. According to Bloomberg, the companies look to debut its car at the Shanghai automotive show in April. Live testing for the car is also planned by the end of the year. Notably, the planned car will be slated to have Level 3 autonomous abilities.