If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
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.
An Elon Musk-backed startup looking to connect human brains to computers will make a major announcement on Tuesday, according to a recent tweet from the CEO. The mysterious announcement, which Musk chose not to elaborate on in his tweet, follows years of radio silence from the company and was foreshadowed by Musk -- the CEO of Tesla and SpaceX -- earlier this year. The event will take place in San Francisco and will presumably have something to with what the company's website calls an'ultra high bandwidth brain-machine interfaces to connect humans and computers.' Elon Musk said his mysterious Neuralink startup will make an announcement tomorrow for the first time in two years. While many tech leaders push that AI will become invaluable to humanity, others argue it poses a threat to our species.
WASHINGTON - The use of robots in U.S. manufacturing has more than tripled over the two decades, and has doubled in the rest of the world, replacing certain categories of worker, according to a report published Monday. As of 2017, automation in the United States had risen to 1.8 robots for every 1,000 workers from just 0.5 recorded 22 years earlier, according to research by the Federal Reserve Bank of St. Louis. The report found the highest prevalence of robots in the auto sector, with France in the lead, followed by the United States and Germany. Automation has eroded the number of intermediate "middle-skill" occupations, while the share of high-skill and low-skill positions has grown, it said. France leads the way in employing robots to build cars, using 148 robots for every 1,000 workers, compared to 136 in the United States, while Italy and Germany each use about 120, the study found.
The Bank of England's new 50-pound note will feature mathematician Alan Turing, honoring the code-breaker who helped lay the foundation for computer science. The Bank of England's new 50-pound note will feature mathematician Alan Turing, honoring the code-breaker who helped lay the foundation for computer science. Alan Turing, the father of computer science and artificial intelligence who broke Adolf Hitler's Enigma code system in World War II -- but who died an outcast because of his homosexuality -- will be featured on the Bank of England's new 50-pound note. The new note will be printed on polymer and will bear a 1951 photo of Turing, the bank announced Monday. It's expected to enter circulation by the end of 2021.
Bill Gates says that the company that cracks the Third Wave of AI will be worth 10 Microsofts. But what is this'Third Wave', anyway? AI isn't as newfangled as we'd like to think, and over the years upgrades in existing hardware and techniques have periodically energized interest and development in the field, similar to the jumps in VR technology. Our progress in the AI field is significantly greater than where it was even just ten years ago. When we talk about'waves', we're talking about these jumps.
Bottom line: Machine learning is enabling threat analytics to deliver greater precision regarding the risk context of privileged users' behavior, creating notifications of risky activity in real time, while also being able to actively respond to incidents by cutting off sessions, adding additional monitoring, or flagging for forensic follow-up. A commonly-held misconception or fiction is that millions of hackers have gone to the dark side and are orchestrating massive attacks on any and every business that is vulnerable. The facts are far different and reflect a much more brutal truth, which is that businesses make themselves easy to hack into by not protecting their privileged access credentials. Cybercriminals aren't expending the time and effort to hack into systems; they're looking for ingenious ways to steal privileged access credentials and walk in the front door. According to Verizon's 2019 Data Breach Investigations Report, 'Phishing' (as a pre-cursor to credential misuse), 'Stolen Credentials', and'Privilege Abuse' account for the majority of threat actions in breaches (see page 9 of the report).
Pattern recognition, aggregation, decision-making and sharing reside in the level of sense-making interaction which implies that information sharing or similar acts such as a network development through gathering, remixing and repurposing of connections is not the same thing as the sigmoid function. A single neuron entails its own logic (in the sense of applying logic gates such as NOT, AND, OR) leading to a network of logic gates. Therefore, meaning exists in pattern of connections which is also one of the underpinning ideas of connectivism. The whole meaning emerging out of a group of nodes plays a more important role as the sum is greater than its parts. In order to develop a learnable network, the network architecture should be formed in a certain way through arranging neurons.
Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that "advances in automation technology will handle many tasks now done by people." The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.
In a world where technology is changing rapidly, it can be hard for businesses to keep up with shifting consumer demands. Take how customers interact with businesses, for instance. According to a recent study by Drift, people now prefer real-time interaction as they make their purchases, meaning that just having an online storefront is no longer enough. For startups looking to grow a loyal customer base, the immediate needs of users can be especially intimidating and even seem, at times, insurmountable. Entrepreneurs with small employee bases would have no way of being there for every customer and anticipating each person's needs in real time.