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) …
With all the hype over Artificial Intelligence, there is additionally a lot of disturbing buzz about the negative results of AI. More than one-quarter (27%) of all employees state they are stressed that the work they have now will be disposed of within the next five years because of new innovation, robots or artificial intelligence, as indicated by the quarterly CNBC/SurveyMonkey Workplace Happiness review. In certain industries where technology already has played a profoundly disruptive role, employees fear of automation likewise run higher than the normal: Workers in automotives, business logistics and support, marketing and advertising, and retail are proportionately more stressed over new technology replacing their jobs than those in different industries. The dread stems from the fact that the business is already witnessing it. Self-driving trucks already are compromising the jobs of truck drivers, and it is causing a huge frenzy in this job line.
According to the National Oceanic and Atmospheric Administration (NOAA), more than 80% of the ocean "remains unmapped, unobserved, and unexplored" – despite constituting more than 70% of the planet's surface. Now, a pair of Navy veterans are looking to change that with a line of autonomous robot vehicles that will plunge the ocean's depths in search of big data for the company's clients. "The company really started when Joe [Wolfel] and I first got together, which was back in 2004," said Judson Kauffman, who shares the CEO role with Wolfel, in an interview with Datanami. "We met in [Navy] SEAL training together, and ended up being assigned the same unit, and then went into combat together and became very close friends. There, they developed the idea for Terradepth, which "stemmed from some knowledge that we gained in the Navy" – really, Kauffman said, "just of how ignorant humanity is of what's underwater, what's in the sea." "It was shocking to learn how little we know, how little the U.S. Navy knew," he continued – and the more they dug into the issue after their time in the Navy, the more surprised they were.
According to the AI Council, the biggest barrier to AI deployment is skills - and it starts as early as school. With artificial intelligence estimated to have the potential to deliver as much as a 10% increase to the UK's GDP before 2030, the challenge remains to unlock the technology's potential – and to do so, a panel of AI experts recommends placing a bet on young brains. A new report from the AI Council, an independent committee that provides advice to the UK government on all algorithmic matters, finds that steps need to be taken from the very start of children's education for artificial intelligence to flourish across the country. The goal, for the next ten years, should be no less ambitious than to ensure that every child leaves school with a basic sense of how AI works. This is not only about understanding the basics of coding and ethics, but about knowing enough to be a confident user of AI products, to look out for potential risks and to engage with the opportunities that the technology presents.
Innovative automakers, software developers and tech companies are transforming the automotive industry. Today, drivers enjoy enhanced entertainment, information options and connection with the outer world. As cars move toward more autonomous capabilities, the stakes are increasing in terms of security. As per a report by the UN, Europol and cybersecurity company Trend Micro, cyber-criminals could exploit disruptive technologies, including artificial intelligence (AI) and machine learning (ML) to conduct attacks against autonomous cars, drones and IoT-connected vehicles. The rapid increase in these technologies inevitably creates a rich target for hackers looking to get access to personal information and control the essential automotive functions and features.
It is a simple truth: the field of artificial intelligence is far too male-dominated. According to a 2018 study from Wired and Element AI, just 12% of AI researchers globally are female. Artificial intelligence will reshape every corner of our lives in the coming years--from healthcare to finance, from education to government. It is therefore troubling that those building this technology do not fully represent the society they are poised to transform. Yet there are many brilliant women at the forefront of AI today.
Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of how to effectively manage big data systems, and affordable and accessible compute power that can handle some of the most challenging machine learning model development. Today's data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs. However, The diversity in options is actually part of the challenge for those looking to build machine learning models. There are just too many choices. This, compounded by the fact that there are different ways you can go about developing a machine learning model, is the issue that many AI software vendors do a particularly poor job of explaining what their products actually do.
Why artificial intelligence has become prevalent across diverse industries? Today's businesses are very complex and doing everything, from bringing innovating strategies to leveraging advanced technologies, to stay competitive. Artificial intelligence emerges as a crucial technology for enterprises, providing unique capabilities by simulating human intelligence. Organizations capitalize on this technology to fulfill an array of business functions and meet their customers' needs effectively. As artificial intelligence is rapidly being utilized across all sectors, the High Tech industry is leading the adoption of this technology with a 37% share. Despite this, the influence of AI technology can be seen in every industry.
The Pentagon's Joint Artificial Intelligence Center has awarded a $93.3 million contract to General Atomics Aeronautical Systems Inc (GA-ASI), makers of the MQ-9 Reaper, to equip the drone with new AI technology. The aim is for the Reaper to be able to carry out autonomous flight, decide where to direct its battery of sensors, and to recognize objects on the ground. The contract, announced at the end of last month, builds on a successful test earlier this year. In some ways this is not a major development, more of an incremental step using existing technology. What makes it significant is the drone that is being equipped, and what it will be able to do afterwards.
Brightflag, an AI-powered legal spend management startup, today announced a $28 million round. The company says it will put the funds toward expanding its footprint while bolstering R&D to support existing customers. According to a recent Gartner survey, the share of corporate legal operations leaders responsible for coordinating law firm billing and tracking outside counsel spend increased in the past two years by 53% and 32% percent, respectively. According to one report, the global legal operations software market will reach $3.57 billion by 2027, growing from just $1.08 billion in 2018. Brightflag, which claims to manage "millions" in external legal spend, offers an AI platform to streamline legal bill review, legal matter management, and other related processes.
How can IT organizations make sure they're equipped to resolve operational issues quickly and drive better business outcomes? With the increasingly vast amounts of data generated by infrastructure and business applications, and teams often working in disconnected silos, managing and improving operations through automation -- including monitoring and service desk processes -- is essential. That's where artificial intelligence for IT operations, or AIOps, comes in. A term coined by Gartner in 2016, AIOps uses analytics and machine learning to aggregate and leverage historical data from a variety of IT operations tools. AIOps platforms can react to issues in real-time, providing intelligent insights that help teams continuously improve core IT functions and prevent future errors.