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) …
This big data discipline of artificial intelligence gives systems the freedom to automatically gain information and improve from experience without manual programming. Machine learning is literally just that – "letting the machine learn". The definition of machine learning is "the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as'training data', in order to make predictions or decisions without being explicitly programmed to perform the task".
Oh boy, well in that spirit let me tell you about Parzen Windows! Now we all want to know where things are, and how much of things. We especially want to know how much of things are where things are! If we don't know the shape of something how do we know its density? There are many methods like binning or histograms that everyone knows, but let me tell you about Parzen windows.
The Industrial Revolution conjures up images of steam engines, textile mills, and iron workers. This was a defining period during the late 18th and early 19th centuries, as society shifted from primarily agrarian to factory-based work. A second phase of rapid industrialization occurred just before World War I, driven by growth in steel and oil production, and the emergence of electricity. Fast-forward to the 1980s, when digital electronics started having a deep impact on society--the dawning Digital Revolution. Building on that era is what's called the Fourth Industrial Revolution.
In a new paper, NIST researchers demonstrate that deep learning algorithms -- a form of artificial intelligence -- are significantly better than a commonly used, less sophisticated method for detecting when offshore radars are operating. Improved radar detection would enable commercial users to know when they must yield the so-called 3.5 Gigahertz (3.5 GHz) Band. In 2015, the FCC adopted rules for the Citizens Broadband Radio Service (CBRS) to permit commercial LTE (long-term evolution) wireless equipment vendors and service providers to use the 3.5 GHz Band when not needed for radar operations. Companies such as AT&T, Google, Nokia, Qualcomm, Sony and Verizon have been eager to access this band (between 3550 and 3700 MHz) because it will expand product markets and give end users better coverage and higher data rate speeds in a variety of environments where service is traditionally weak. NIST helped develop 10 standard specifications that enable service providers and other potential users to operate in the 3.5 GHz Band under FCC regulations while assuring the Navy that the band can be successfully shared without RF interference.
Less than a decade ago, neuroscientist Amir Khosrowshahi was drilling holes and sticking needles into skulls to learn about the human brain. He turned his knowledge of neuroscience into entrepreneurial success, cofounding Nervana, a startup that helped large companies run neural networks, the technology now driving explosive results in AI. Intel, the world's largest maker of computer chips, acquired Nervana for more than $350 million just two years later, in 2016. Since then, Harvard and UC Berkeley-trained Khosrowshahi has emerged as a key AI thinker within Intel, where AI and chips are colliding in new and profound ways. In an interview with VentureBeat, Khosrowshahi, now CTO of AI, said he is staying at Intel because of a group of researchers there.
Change Healthcare launched a tool Aug. 6 that combines artificial intelligence and behavioral science to help payers identify and enroll Medicare Advantage members who are eligible for both Medicare and Medicaid. Using AI, the Dual Enrollment Advocate solution is 93 percent accurate in flagging individuals who qualify for full or partial dual eligibility. Change Healthcare member engagement teams will use the technology to support the company's health plan customers. "We're applying data science, behavioral science and consumer-experience design to solve one of the trickiest problems for Medicare Advantage plans, which is how to accurately identify people for Medicaid eligibility," said Keith Roberts, vice president of engagement at Change Healthcare. "AI and machine learning can't do it alone. Behavioral science can't do it alone. And health plans and legacy systems can't do it alone. The time has come to bring these healthcare IT and scientific disciplines together to help solve a critical business challenge for our customers."
Launched in December 2018, this fund invests in international equities. It is first thematic fund to invest in artificial intelligence, using artificial intelligence (AI) in its investment process. Nicolas Chaput, global CEO and co-CIO of ODDO BHF Asset Management, said: "This fund represents a breakthrough innovation in the asset management industry. We have built a unique investment process, artificial intelligence and many years of know-how in the asset management industry quantitative equity management. Our goal is to provide our customers with an innovative solution for long-term alpha generation.
It's 2019, and we don't have flying cars yet…but we do have virtual boyfriends. They say they're better than the real thing, apparently! This concept of an AI sexual or romantic partner has been around for a while now for men. In fact, the sex robot industry has grown huge, but now it's expanding into the female world too. Women require emotional interaction and it's amazing that AI might be able to offer it.
They're called salespeople, but they spend shockingly little of their time selling. Instead, their days consist of administrative work, manual data entry, looking for potential customers and communicating with those prospects: cold calling, sending emails, scheduling meetings and having conversations -- many of which lead to nothing. This is both time-consuming and expensive for companies. Lost sales productivity and wasted marketing budgets costs organizations $1 trillion dollars a year, according to industry estimates. Things are starting to shift, however.
The U.K. government is planning to fund thousands of postgraduate students that want to study a Masters or a PhD in artificial intelligence as it looks to keep pace with the U.S. and China. AI is poised to become the most significant technology for a generation but there are only so many people that know how to develop the technology, which could have a huge impact on industries such as healthcare, energy, and automotive. Business Secretary Greg Clark and Digital Secretary Jeremy Wright announced on Thursday that the government will commit up to £115 million towards training the next generation of AI talent. In a press release, the government said 1,000 students will receive funding to enable them to complete PhDs at 16 U.K. Research and Innovation AI Centres for Doctoral Training (CDTs), located across the country. The full list of centres can be found at the end of this article.