On 11 December 2017, at the One Planet Summit in Paris, Microsoft announced our $50m, five-year commitment to using AI to improve sustainability, known as AI for Earth. In the past year, the program has grown to support 233 grantees doing work with impact in more than 50 countries and all seven continents. We have also seen the science, from the IPCC and others, that indicate progress is still too slow and uneven to achieve a 2-degree future agreed to in the Paris Accord. Below, you'll see our vision for the program and in following pieces, you'll see how we're continuing to accelerate our efforts. On the two-year anniversary of the Paris climate accord, the world's political, civic and business leaders came together in Paris to discuss one of the most important issues and opportunities of our time: climate change.
According to a new study from the Institute for Public Policy Research (IPPR), nearly 10% of women work in jobs with a high potential for automation, compared with only 4% of men. So what, I hear you say. Substitute "robots" for "austerity", "the demise of unionisation", "public-sector pay freezes", "modern life" – pick any of these and women will always come off worst. Except maybe this time the pointy heads are on to something: perhaps better understanding what the risks are will give us all some agency, and even allow us to change the future. As Carys Roberts, the author of the IPPR report, tells me: "We don't even talk about risks in this area, because there are so many different factors.
Intelligent, learning, autonomous machines are about to change the way we do business forever. But in a world where corporations or even executives may be liable in a civil or even criminal court for their decisions, who is responsible for decisions made by artificial intelligence (AI)? In the United States, courts are already having to wrestle with this science fiction scenario after an Arizona woman was killed by an experimental autonomous Uber vehicle. The European Commission recently shared ethical guidelines, requiring AI to be transparent, have human oversight and be subject to privacy and data protection rules. This sounds really good, but how will any of this be applied in practical situations?
The deep web is the part of the internet that isn't included in surface web. In better words, the deep web is the unindexed part of the internet, search engines can't really find such websites. Deep web itself isn't bad at all, it just isn't indexed. People often confuse the deep web with the dark web. The dark web is that part of the internet which is usually associated with illegal activity, it requires certain software or authorization to get access.
As machine learning (ML) systems continue to improve, its integration to systems making up the society becomes more seamless. Right now, ML is involved in making critical decisions such as court decisions and job hirings. Without a doubt, using ML in these processes will lead to more efficiency. With a good design, ML systems can also eliminate the biases humans have when it comes to their decisions. On the other extreme, this integration could end up really ugly.
A study mapping the brains of violent criminals is giving researchers new insight into the minds of murderers which experts say may help predict violent behavior. In a study published in Brain Imaging and Behavior, researchers say they have observed substantial differences in the physical characteristics of homicidal criminals versus their violent counterparts. According to research, which assessed the brains of 808 incarcerated males using MRI scans, two regions of the brain in particular showed the biggest difference. MRI scans of criminals reveal key difference in the brains of murders and their less violent counterparts. Homicide offenders' show reduced gray matter in brain areas critical for behavioral control and social cognition compared with other violent and non-violent offenders.
Facebook may be close to putting a Federal Trade Commission investigation behind it. But it faces a variety of other probes in Europe and the U.S., some of which could present it with even bigger headaches. While the $5 billion fine from the FTC, which Facebook has been expecting, is by far the largest the agency has levied on a technology company. When Facebook reported its first-quarter earnings back in April, the company confirmed what many had long suspected: The Federal Trade Commission (FTC) was nearing the end of an investigation into the company following last year's Cambridge Analytica scandal. Numerous media reports suggested that the FTC was considering a record-setting fine to make an example of the social media platform.
Tucker examines Google's algorithms and how they benefit Democrat ahead of 2020. Billionaire tech investor Peter Thiel on Sunday called for the FBI and CIA to investigate whether Chinese intelligence had infiltrated Google, according to a report. Thiel, who supported Trump in 2016 and Facebook board member, made the comments during a speech at the National Conservatism Conference in Washington. He said the FBI and CIA needed to ask Google three questions to determine if the tech giant had been compromised by Chinese intelligence, Axios reported. FILE: A Google Home Hub is displayed in New York.
Overconsumption and poor resource efficiency are damaging natural ecosystems, causing biodiversity loss and the depletion of basic resources. Sustainable, circular initiatives support sustainable growth by aiming to keep the value of resources for as long as possible and eventually bring them back to the economy at the end of their life, producing zero waste and making cash from waste. With the commitment to green values, major players in the retail and fashion industry are taking the lead in sustainable, circular initiatives. Businesses are responding to customers' green values, as they become increasingly aware on how their purchases effect the environment. In taking the lead for a sustainable, circular economy, leading brands provide products and services that allow customers to enjoy a guilt-free ethical shopping experience.