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) …
WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."
For many of these steps, there are no real short cuts to be taken. The only way to build a minimum viable product, for example, is to roll up your sleeves and start coding. However, in a few cases, tools exist to automate tedious manual processes and make your life much easier. In Python, this is the situation for steps 4, 8 and 10, thanks to the unittest, flake8 and sphinx packages. Let's look at each of these packages one by one.
However, he argues, these are not enough to counter accelerating technological changes allowing greater intrusions of privacy and he calls for a worldwide protest movement, similar to those on climate change. He added: "You have to be ready to stand for something if you want it to change. "That is what I hope this book (Permanent Record) will help people come to decide for themselves." The revelation coincides with the GSMA's announcement that the AI market is projected to reach $70 billion by 2020.
Diversity has become one of the pillars of the modern business world, and in many countries across the globe, it is one of the prerequisites for a company to even exist, let alone build a thriving brand. In the quest for higher workplace diversity and a more diverse recruitment process that nurtures equality among genders, races, and communities, business leaders are increasingly employing the help of artificial intelligence. As if AI wasn't popular enough throughout the modern business sector, HR specialists are now leveraging its computing power and laser-like precision to pinpoint brand weaknesses and opportunities, and bring the right employee to the company without sacrificing diversity in the process. With that in mind, let's take a look at the five ways Artificial Intelligence can help you build a more diverse workforce, in order to ensure compliance and take your company to new heights of success. AI technology is becoming more nuanced and refined as the years go by, and there is no denying that professionals throughout the business sector can leverage its power and potential to make better decisions.
Technology tools such as artificial intelligence (AI), machine learning (ML) and cloud-based analytics platforms, along with aggregated "big data" organized into informational dashboards, may have cracked the code for improving worker productivity. Data about how employees work and behave can be analyzed, predicted and subsequently used to drive decisions to allocate resources, monitor performance and make the workplace better. These solutions have evolved to shape the way workers work. Vadim Tabakman is the "technical evangelist" at Nintex, a Bellevue, Wash., firm providing end-to-end process management and workflow automation. He said AI and ML are used in many ways to improve performance by learning employee work patterns and habits.
Almost every second of Betty Li's school life is monitored. The 22-year-old student at a university in northwestern China must get through face scanners to enter her dormitory and register attendance, while cameras above the blackboards in her classrooms keep an eye on the students' attentiveness. Like many other educational institutions across the country, the university in Xian, Shaanxi province, deployed AI-powered gates and facial recognition cameras several years ago as a part of the "smart campuses" campaign promoted by the Ministry of Education. Some schools are even exploring ways to use artificial intelligence to analyse the behaviour of teachers and students. The universities are at the forefront of a national effort to lead the world in emerging technologies and move China's economy up the value chain.
Telstra's independent venture capital arm has shown its intention to expand into the artificial intelligence data market following a $US100m (145m AUD) capital raising for San Francisco company Trifacta. Trifacta employs machine-learning technology to deduce a greater depth of insights from the increasing level of data migrating to cloud-based storage. Australia's largest venture capital fund, Telstra Ventures Fund No 2, led the investment, joined in the round by the likes of Energy Impact Partners, NTT Docomo, BMW Ventures and ABN AMRO. Telstra Venture joins a long and credible list of existing investors from Accel Partners, Greylock Partners, Ignition Partners and Google. "The share register for Trifacta is very impressive. It is great to have so many experienced and impressive co-investors in this deal. That is a really massive plus for us," Mr Koertge said.
Last week, researchers at the Allen Institute for Artificial Intelligence demonstrated in a new paper that an AI they'd designed could ace an eighth-grade multiple-choice science test with more than 90 percent correct answers -- and do quite well on a 12th-grade science test, too, with more than 80 percent correct answers. The system, called Aristo, took the New York Regents Science Exam (a standardized test for students across New York State), with a few limitations: it didn't have to solve the problems that involved looking at diagrams. Nonetheless, the researchers tested the program on different versions of the test as well as on tests from different years and found that its performance was pretty consistent: It's an A student. Aristo demonstrates how quickly AI is advancing. As recently as 2016, the paper's authors note, no one in the field could manage to score as well as 60 percent on a similar eighth-grade science exam.
DUBAI, UNITED ARAB EMIRATES – The weekend drone attack on one of the world's largest crude oil processing plants that dramatically cut into global oil supplies is the most visible sign yet of how Aramco's stability and security is directly linked to that of its owner -- the Saudi government and its ruling family. The strikes, which U.S. Secretary of State Mike Pompeo blamed on Iran despite staunch denials by Tehran, led to suspension of more than 5 percent of the world's daily crude oil production, bringing into focus just how vulnerable the company is to Saudi Arabia's conflicts outside the country's borders, particularly with regional rival Iran. That matters greatly because Aramco produces and exports Saudi Arabia's more than 9.5 million barrels of oil per day to consumers around the world, primarily in Asia. It also comes as the state-owned company heads toward a partial public sale. To prepare for an initial public offering, the company has recently taken steps to distance itself from the Saudi government, which is controlled by the Al Saud ruling family.
The attack, which knocked out more than half of the Saudi oil output, may force the U.S. to tap into its own oil reserves to keep the markets well supplied. President Trump on Sunday suggested U.S. investigators had "reason to believe" they knew who launched crippling attacks against a key Saudi oil facility, and vowed that America was "locked and loaded depending on verification." While he did not specify who he believed was responsible for Saturday's drone attacks, U.S. investigators previously have pointed the finger at Iran. "Saudi Arabia oil supply was attacked. There is reason to believe that we know the culprit, are locked and loaded depending on verification, but are waiting to hear from the Kingdom as to who they believe was the cause of this attack, and under what terms we would proceed!" the president tweeted. Earlier Sunday, Trump authorized the use of emergency oil reserves in Texas and other states after Saudi oil processing facilities were attacked, sparking fears of a spike in oil prices when markets reopen Monday.