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Why companies should embrace, invest in AI
Artificial intelligence (AI), in the simplest terms, refers to systems or machines that mimic human intelligence to perform tasks and can interactively improve themselves, based on the information they collect. Today, when asked about AI, many people still hink that it is a concept, something that is going to happen tomorrow. But organisations in every sector are already embracing and investing in AI tools and techniques to boost their business. In reality, AI is already part of our lives. We use AI every day. It is not only on smartphones, laptops and cars, it is everywhere.
Oxford to receive biggest single donation 'since the Renaissance'
The University of Oxford has said it is to receive its biggest single direct donation "since the Renaissance", after it unveiled a ยฃ150m gift from the US billionaire Stephen Schwarzman to fund humanities research and tackle looming social issues linked to artificial intelligence. The money will be used to create the Schwarzman Centre for the Humanities, bringing together disciplines including English, philosophy, music and history in a single hub with performing spaces and a library, alongside a new Institute for Ethics in AI to collaborate. Unlike previous mega-donors, Schwarzman, the founder and chief executive of the Blackstone financial group, is not a former student. He says he was attracted to make the donation after being approached by Louise Richardson, Oxford's vice-chancellor, and by his memories of visiting as a teenager in 1963. "I visited Oxford as a 15-year-old on what we used to call'teen tours' in the US, where you travelled around Europe and hopefully became more civilised. I vividly remember going to Oxford because I'd never seen anything like it," Schwarzman said.
He co-founded Skype. Now he's spending his fortune on stopping dangerous AI.
If you've ever used Skype or shared files on Kazaa back in the early '00s, you've encountered the work of Jaan Tallinn. And if humans wind up creating machines that surpass our own intelligence, and we live to tell about it -- we might have Tallinn's philanthropy, in small part, to thank. Tallinn, whose innovations earned him tens of millions of dollars, was one of the first donors to take seriously arguments that advanced artificial intelligence poses a threat to human existence. He has come to believe we might be entering the first era in human history where we are not the dominant force on the planet, and that as we hand off our future to advanced AI, we should be damned sure its morality is aligned with our own. He has donated more than $600,000 to the Machine Intelligence Research Institute, a prominent organization working on "AI alignment" (that is, aligning the interests of an AI with the interests of human society) and more than $310,000 to the Future of Humanity Institute at Oxford, which works on similar subjects.
How the Internet of Things will change the Supply Chain
Despite advances in manufacturing that will move the bulk of product production away from mega-factories in developing countries back to Europe and America, logistics will always play a big role in a world of global trade. The industry employs millions of people worldwide, and even robots will struggle to make a big impact in the short-term. That is because logistics is inherently a complicated industry, with hundreds and thousands of variables, complex system, interconnectivity problems and standards varying from country to country, even port to port. If you have ever tracked a parcel through a delivery service, you know that at present we only have information when a package transit from one system to another, from one data point to another. We know very little about what happens to shipments in transit.
Can Artificial Intelligence Save Us From Asteroidal Armageddon?
NASA'S Planetary Defense Coordination Office uses the Catalina Sky Survey facility in Tucson, Arizona, to catalog space objects Even in this age of high-speed data analysis, a keen human eye normally can't be beaten when poring over images of potential asteroidal impactors. But Artificial Intelligence (A.I.) could soon change all that. The El Segundo, Calif.-based Aerospace Corporation is now testing A.I. software designed to help astronomers speed up the process of identifying and tracking threatening Near-Earth Objects (NEOs). NASA's Planetary Defense Coordination Office already uses numerous telescopes to find and monitor NEOs that might have the potential to impact Earth. But the non-profit Aerospace Corporation's A.I. team is working with NASA on implementing software dubbed NEO AID (Near-Earth Object Artificial Intelligence Detection) to differentiate false positives from asteroids and comets that might be real threats.
The 16 best games of E3 2019
Amid the onslaught of announcements during Sunday's Xbox briefing, it would have been easy to miss this fascinating experimental game from coder and artist Luis Antonio, who previously worked on Jonathan Blow's acclaimed adventure The Witness. You play as a nameless man stuck in a 12-minute time loop involving his wife, their apartment and some unexpected visitors. Seeing things from a neat top-down perspective, the player has to untangle the series of events, discovering more about the mystery with each short lifespan. Channeling Groundhog Day and Edge of Tomorrow, this is a truly intriguing project. Considering how large a role death plays in video games, it's rare to find one that explores the concept in a meaningful way.
Why The American Shoe Disappeared And Why It's So Hard To Bring It Back
Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made. China's share has declined, but it's still a major source. Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made.
No longer fiction: Flying car startups aim to begin test flights as early as next year
After the recent New York helicopter crash, many are starting to question the safety of choppers. With Uber Air debuting its helicopter ride-sharing service next month, are helicopters a safe mode for transportation? As Uber forges ahead with plans for a flying taxi service in 2023, other startups are unveiling futuristic air mobility vehicles, suggesting that a Jetsons-like transportation system may be closer than you think. Massachusetts-based Alaka'i Technologies showed an electric human-carrying drone last month that it claims can carry five passengers, and the American-Israeli startup NFT --short for Next Future Transportation -- hopes its new folding-wing vehicle will halve travel times by both driving on the street and flying through the air during commutes. This comes as Uber sets its sights on phase one of Uber Air, releasing a fleet of Uber Copters in NYC over the summer.
Open Data for Machine Learning
In recent years as an exercise of transparency governments and city councils create open data portals where the authorities push a lot of data to be freely accessible to citizens. Nowadays is easy to find a dataset of almost everything, in a few clicks you can find, as for instance datasets related to territory (parking spaces of a city), population (Level of education), governance (electoral results)... The benefits of Open Data from an ethical movement essentially focus on empowering the resident with data that somehow can be used for his own profit. Clearly stated in the article "5 benefits of open government data" [3] we found: As Stated Before Open Data can unlock the potential of Machine Learning. The reason is simple including external data can help to enhance models, discovering new patterns and solving problems such as parity.
Machine Learning Can Predict Heart Attack or Death More Accurately Than Humans
Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary artery disease. Machine learning, a branch of artificial intelligence, was more accurate than human medical professionals in predicting myocardial infarction (MI) or death among patients suspected of having coronary artery disease (CAD), according to an abstract presented at the 2019 International Conference on Nuclear Cardiology and Cardiac CT, held May 12-14 in Lisbon, Portugal. Physicians routinely make treatment decisions using risk scores, which are based on few variables and are typically only moderately accurate for individual patients. Machine learning can use repetition and adjustment to exploit large quantities of data and identify complex patterns that may go unnoticed by humans. "Humans have a very hard time thinking further than three dimensions (a cube) or four dimensions (a cube through time)," said the study's lead researcher, Luis Eduardo Juarez-Orozco, MD, PhD, in a statement.