So what benefits could machine learning bring to the world of work? Machine learning presents an opportunity to obtain insights from data that human analysts may not see on their own. Artificial intelligent systems using machine learning have steadily improved in accuracy, for example in identifying images, which they can now do with greater accuracy than humans. If machines are used to'double check' human analysis and help with processing large amounts of data, this may result in less likelihood of mistakes, and reduction of risks and errors in some decision making. In fact, an algorithm (mathematical recipe) can be designed to ruthlessly deliver the range of tasks it is given, thus eliminating any human bias from the output.

You know I have often wondered about the two different plans of existence we have here and one intruding on the other. It would not go over so well if one really did intrude upon the others territory/ dimension. We can talk about all we want to, but we can not cross over into it. And it will not cross over into where we are until time is up. Yet, if we make strides towards it and get somewhere in our striding we always get smacked down for it and smashed backwards.

As the election results rolled in last night, it became increasingly clear that America -- and the world -- would never be the same. The American people overlooked all of Republican nominee Donald Trump's faults and elected him to office in the belief that he will fix the nation's deep-seated problems of inequity and injustice. And they rebelled against the business interests and corruption that they believed Hillary Clinton represented. Trump's victory was enabled by technology -- everything from his use of social media to Clinton's email scandals to Russian hacking. But advancements in technology and how they reshape our economy may also keep him from delivering on some of the major promises that made him so popular during the campaign season.

The Queensland government has announced amended legislation that now allows the state's farmers to use drones to spray their crops. Acting Agriculture Minister Bill Byrne said the changes to the Agricultural Chemicals Distribution Control Act 1966 and the regulations that underpin it will give Queensland farmers access to the most "innovative aerial spraying technology" available. "The government is keen to give our producers all the advantages made available by advances in technology," Byrne said. "The improvements to the legislation provide Queensland producers with cost effective options for crop protection." Byrne expects the technology to be especially useful for chemical application in areas with limited access or difficult terrain, noting that where conventional equipment cannot be used, spraying from an unmanned aerial vehicle (UAV) represents a safe and effective option.

Artificial Intelligence MogIA predicted the outcome of last four presidential elections including … In October, an artificial intelligence system that correctly predicted the last three U.S. presidential elections puts Republican nominee Donald Trump ahead of Democrat rival Hillary Clinton in the race for the White House. Now the system is four for four.MogIA was developed by Sanjiv Rai, founder of Indian start-up Genic.ai. It takes in 20 million data points from public platforms including Google, Facebook, Twitter and YouTube in the U.S. and then analyzes the information to create predictions.The AI system was created in 2004, so it has been getting smarter all the time. It had already correctly predicted the results of the Democratic and Republican Primaries.MogIA is based on Mowgli, the child from Rudyard Kipling's novel "The Jungle Book." Rai said this is because his AI model learns from the environment."While…

Do humans make computers smarter? Artificial intelligence is fact, not fantasy! 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.

Despite steady progress in detection and treatment in recent decades, cancer remains the second leading cause of death in the United States, cutting short the lives of approximately 500,000 people each year. To better understand and combat this disease, medical researchers rely on cancer registry programs--a national network of organizations that systematically collect demographic and clinical information related to the diagnosis, treatment, and history of cancer incidence in the United States. The surveillance effort, coordinated by the National Cancer Institute (NCI) and the Centers for Disease Control and Prevention, enables researchers and clinicians to monitor cancer cases at the national, state, and local levels. Much of this data is drawn from electronic, text-based clinical reports that must be manually curated--a time-intensive process--before it can be used in research. For example, cancer pathology reports, text documents that describe cancerous tissue in detail, must be individually read and annotated by experts before becoming part of a cancer registry.

When today's millennial generation has children of their own, they could live in a world filled with flying cars and robot workers while having the option to travel through space to distant planets. Science fiction buffs know the Star Trek universe takes place in the 23rd century when the Earth is at peace, humans have given up their desire for money, and mankind has developed colonies on other worlds. That's a mere 200 years from where we stand today, an insignificant time period in the history of the world. Looking at the technological achievements of humanity today, it's easy to see how such a world might become reality. While humans will always be a part of the Earth's labor pool, it's easy to see how smart robots will one day push large numbers of men and women out of the workforce.

We just came back from a week at an idyllic beach resort in Malaysia. Not having to wear shoes for a week felt liberating. Internet was non-existent in most parts of the island and sketchy at best at upmarket resorts. Even though it was utopia for a week, we could not wait to get back on the grid. Technology is a double-edged sword.

The lesson of Trump's victory is not that data is dead. The lesson is that data is flawed. It has always been flawed--and always will be. Before Donald Trump won the presidency on Tuesday night, everyone from Nate Silver to The New York Times to CNN predicted a Trump loss--and by sizable margins. "The tools that we would normally use to help us assess what happened failed," Trump campaign reporter Maggie Haberman said in the Times. As Haberman explained, this happened on both sides of the political divide.