The technology industry is plagued with buzzword bingo in support of the fashion driven nature of the technology beast. Often confusing and occasionally downright ridiculous, we're never going to prevent smart ass marketers, ably supported by their anal-yst surrogates from making stuff up. The least some of us can do is make clear what is under discussion without mindlessly parroting what others say or conflating one concept with another. The latest in this stream of marketing laden garbage is AI or Artificial Intelligence, smeared with ML or Machine Learning and DL or Deep Learning. Add a soupçon of'robotics' just to amp the volume to something people can'get' and you have the potential for an exotic mix that both captivates the sentient mind but can also plant fear.

With the latest breakthroughs in artificial intelligence a whole new concept of food may soon radically change what we eat. And at the same time, some experts believe it could reduce global warming. According to the UN, livestock contributes to climate change and is a major driver of deforestation and desertification. Scientists in Chile are working on alternatives for a sustainable and meatless future. The Not Company uses artificial intelligence to create animal product substitutes.

Here are 110 upcoming meetings and conferences, for June 2017 and beyond. You can also find the latest list on KDnuggets Meetings page Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green Top countries: India, France, Australia: 3 For the second month in a row, London is the top city: Washington DC, New Orleans, Houston, Chicago, Atlanta: 3 June 2017 Jun 1-2, Deep Learning in Finance Summit. Mention "KDNuggets" and save 18% on tickets. Use code KDNUGGETS to save 15%. Use code KDNUGGETS_DSC17 to save.

Race does not stand up scientifically, period. To begin with, if race categories were meant primarily to capture differences in genetics, they are doing an abysmal job. The genetic distance between some groups within Africa is as great as the genetic distance between many "racially divergent" groups in the rest of the world. The genetic distance between East Asians and Europeans is shorter than the divergence between Hazda in north-central Tanzania to the Fulani shepherds of West Africa (who live in present-day Mali, Niger, Burkina Faso, and Guinea). Armed with this knowledge, many investigators in the biological sciences have replaced the term "race" with the term "continental ancestry." This in part reflects a rejection of "race" as a biological classification. Every so-called race has the same protein-coding genes, and there is no clear genetic dividing line that subdivides the human species.

Being kept up-to-date on new technologies and contemporary trends is always essential to prove any business advantageously. There has never been a better time for innovation and startups for making their mark and starting a business. Thousands of startup businesses are founded every year, but the trick is to ensure in your business surviving and thriving. The research has been done to help you to set going. What is it: Time is an API-powered tracking application using artificial intelligence.

A computer did not write this article. Today, I can say that and you'll believe me. No mere machine could come up with such a killer opening. Only humans – very, very talented humans – can do such things. But what about a reader 30 years from now? Would they buy it?

A while back, I was reading an article posted on Facebook, about Clovis people found alive and well living in Florida, with a picture featuring tribesmen (see below.) The quality of the picture was poor, and the URL was very suspicious: baynews9.com.ddwg.clonezone.link, as to make it appear that it was from Baynews9.com. It turned out that the picture (and thus the whole story) was fake: these people are real people living in Peru, see here for a Youtube video about them. My question is how to detect that a story is fake? The picture might have metadata embedded in it, allowing the data scientist to find the real source, unless it is a screenshot.

Jeopardy-winning Watson is getting better and better at designing cancer treatments. New data presented this week at the American Society of Clinical Oncology's annual meeting show that IBM's Watson for Oncology suggests cancer treatments that are often in-line with what physicians recommend. The company also announced that the cancer care product, designed to help physicians diagnose and treat their patients, is being used by nine new medical centers around the world. In a handful of studies being presented at ASCO, researchers show that Watson for Oncology is pretty dang good at recommending treatments for a variety of different cancers. From research done in India, Watson's treatment recommendations were in agreement with those of physicians 96 percent of the time for lung cancer, 93 percent of the time for rectal cancer, and 81 percent of the time for colon cancer.

Ericsson is looking to artificial intelligence to help manage the profound changes that the Internet of Things and 5G are bringing to networking and connectivity. The company has announced that it is expanding its Support Services platform to better leverage analytics and machine learning technology. One component of the platform, 'Analyze and Change', is available now, and Ericsson says it has already helped some network operators to attain "a near-perfect success rate in handling software changes and drastically reduced emergency recovery time from 4 hours to just 60 minutes," according to a statement from the company. Meanwhile, Entel Chile Head of Network Operations Rodrigo Orozco says Ericsson's data analytics technology has helped the telecom "to prevent approximately 85 percent of critical incidents in the network." The efforts are indicative of bigger-picture changes.

Google has a new tool to better personalize ads and analyze their success: Machine learning. This technology represents a growing trend for advertisers that will shape successful campaigns into the future, according to a Tuesday blog post by Sridhar Ramaswamy, Google's senior vice president of ads and commerce, published ahead of the Google Marketing Next event in San Francisco. "This technology is critical to helping marketers analyze countless signals in real time and reach consumers with more useful ads at the right moments," Ramaswamy wrote in the post. "Machine learning is also key to measuring the consumer journeys that now span multiple devices and channels across both the digital and physical worlds." Google Attribution is a new product that helps marketers determine if their campaigns are actually working, taking into account data from all devices and channels that a consumer may use.