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) …
If the King of Sweden wants help drafting his annual Christmas speech this year, he could ask the same AI model that's available to his 10 million subjects. As a test, researchers prompted the model, called GPT-SW3, to draft one of the royal messages, and it did a pretty good job, according to Magnus Sahlgren, who heads research in natural language understanding at AI Sweden, a consortium kickstarting the country's journey into the machine learning era. "Later, our minister of digitalization visited us and asked the model to generate arguments for political positions and it came up with some really clever ones -- and he intuitively understood how to prompt the model to generate good text," Sahlgren said. Early successes inspired work on an even larger and more powerful version of the language model they hope will serve any citizen, company or government agency in Scandinavia. The current version packs 3.6 billion parameters and is smart enough to do a few cool things in Swedish.
Artificial intelligence technology has led to some surprising changes in the field of accounting. Justin Hatch of the Forbes Technology Council reports that AI helps accountants streamline many mundane tasks. Therefore, they can use it to boost productivity as much as 40%. Unfortunately, it can be difficult to know how to use AI effectively. There are a number of great software applications that use AI to help accountants.
Many of us are familiar with Intuit's (NASDAQ:INTU) industry-leading products in personal taxes (Turbo Tax) and small business accounting (QuickBooks). However, the company has expanded well beyond these two areas and assembled a portfolio of products that have improved and will continue to improve the financial lives of its customers. On Intuit's website, CEO Sasan Goodarzi described their mission statement as follows: We are a purpose-driven, values-driven company. Our mission to power prosperity around the world is why we show up to work every single day to do incredible things for our customers. Our values guide us and define what we stand for as a company.
Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. This presents a threat but also an opportunity. AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI's appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.
There is plenty of talk about artificial intelligence in the enterprise, but a lot of it is not very practical. That's because enterprises aren't equipped with an army of data scientists to build and train new AI models. And it's not just the lack of qualified data scientists -- AI breakthroughs require massive amounts of relevant, annotated data. That doesn't mean however, there is no place for AI in your enterprise innovation strategy. Savvy CIOs are using in-market models and APIs by commercial and industry leaders to solve well-defined use cases, bringing immediate, measurable value to the organization.
Between the COVID-19 pandemic, a mental health crisis, rising healthcare costs, and aging populations, industry leaders are rushing to develop healthcare-specific artificial intelligence (AI) applications. One signal comes from the venture capital market: over 40 startups have raised significant funding--$20M or more --to build AI solutions for the industry. But how is AI actually being put to use in healthcare? The "2022 AI in Healthcare Survey" queried more than 300 respondents from across the globe to better understand the challenges, triumphs, and use cases defining healthcare AI. In its second year, the results did not change significantly, but they do point to some interesting trends foreshadowing how the pendulum will swing in years to come.
Artificial intelligence (AI), for all of its futuristic elements, is not a new category – not by a long shot. The roots of the technology go all the way back to the late 1950s, when computers started to become much more powerful. But the proliferation of AI stocks hasn't come until much more recently, as artificial intelligence became commercially viable over the past decade or so. Artificial intelligence uses algorithms to detect patterns, which can help businesses create predictions that ultimately lower costs, improve productivity and increase revenues. As technological breakthroughs arise, AI models continue to scale.
Artificial intelligence is a ground-breaking technology that is helping businesses in multiple industries to improve their results by using data and computing power to come up with the most optimal solutions to the most common problems. This type of software uses algorithms and data sets to determine a course of action in every scenario and then learns from the outcome and adjusts accordingly. As a result, these programs are designed to progressively improve until they reach a high level of efficacy. Financial firms are well-known for being data-driven businesses that rely on hard facts and figures to make decisions such as whether a company or individual meets the required criteria to be granted a loan or if a certain financial product is suitable for a given investor. With this in mind, artificial intelligence has much to offer to companies within this robust sector of the economy.
When you picture a hospital radiologist, you might think of a specialist who sits in a dark room and spends hours poring over X-rays to make diagnoses. Contrast that with your dentist, who in addition to interpreting X-rays must also perform surgery, manage staff, communicate with patients, and run their business. When dentists analyze X-rays, they do so in bright rooms and on computers that aren't specialized for radiology, often with the patient sitting right next to them. Is it any wonder, then, that dentists given the same X-ray might propose different treatments? "Dentists are doing a great job given all the things they have to deal with," says Wardah Inam SM '13, Ph.D. '16.
When you picture a hospital radiologist, you might think of a specialist who sits in a dark room and spends hours poring over X-rays to make diagnoses. Contrast that with your dentist, who in addition to interpreting X-rays must also perform surgery, manage staff, communicate with patients, and run their business. When dentists analyze X-rays, they do so in bright rooms and on computers that aren't specialized for radiology, often with the patient sitting right next to them. Is it any wonder, then, that dentists given the same X-ray might propose different treatments? "Dentists are doing a great job given all the things they have to deal with," says Wardah Inam SM '13, PhD '16.