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) …
In many of the conversations with our (potential) customers, we discuss the power of artificial intelligence. In many publications the usage of AI is almost promoted as "the land of milk and honey" -- but those with a bit of experience will be able to tell you that using AI is not always the answer, and it's not as easy to implement as many try to make you believe. But with the right use-cases defined, it can help your company -- or you as a person -- make life easier or create specific added value. I'd like to tell you about how AI improved my personal life in five examples. With each of the examples, I will refer to a business or use-case that could be of value to you.
A driverless car running on the road is like a screenshot from a sci-fi movie. However, fiction is becoming a reality, and thanks to #Artificial Intelligence (AI). AI technology complements the concept of self-driving cars. Elon Musk had in 2017 that all cars will be #autonomous in 10 years without any steering wheel. We are very close to bringing this estimate to reality in just 4 years.
Rigetti Computing, a leading quantum computing startup and pioneer in hybrid quantum-classical computing systems, has announced it closed a $79M Series C financing led by Bessemer Venture Partners. Franklin Templeton joins the round with participation from Alumni Ventures Group, DCVC, EDBI, Morpheus Ventures, and Northgate Capital. "This round of financing brings us one step closer to delivering quantum advantage to the market," said Chad Rigetti, founder and CEO of Rigetti Computing. The company is dually focused on building scalable, error-corrected quantum computers and supporting high-performance access to current systems over the cloud. Rigetti offers a distinctive hybrid computing access model designed for practical applications.
OpenAI's GPT-3 is the talk of the town, and the media is giving it all the attention. Many analysts are even comparing it to AGI because of its practical applicability. Initially disclosed in a research paper in May, GPT-3 is the next version of GPT-2 and is 100x larger than it. It is far more competent than its forerunner due to the number of parameters it is trained on, which is 175 billion for GPT-3 versus 1.5 billion for GPT-2. After the successful launch of GPT-3, other AI companies seem to have been overshadowed.
Brain-computer interfaces are seeing massive AI breakthroughs including neural bridges being built for learning, treatment of specific diseases and overcoming the electrical-to-biochemical language barrier. These trends are what will optimise the information bandwidth that comes with neuroscience technology. "A monkey has been able to control a computer with its brain." That almost unimaginable yet remarkably accurate observation was made by Elon Musk, author and CEO of Tesla. In his presentation, Musk switched between varying forms of "what is" to "what could be", before announcing the details surrounding Tesla Energy.
Artificial Intelligence and Blockchain are two common buzzwords that we get to hear these days. While one has already reached a critical point of implementation, the other is an emerging one. While AI offers automation and machine with cognitive intelligence of humans but data capabilities beyond their power, Blockchain is more like a new filing system for digital information, which stores data in an encrypted, distributed ledger format. Through the maintenance of a decentralized database architecture by Blockchain, the record and authentication of certain operations are subject to the agreement of several parties rather than a single authority. This enables the creation of tamper-proof, highly robust databases that can be read and updated only by those with permission.
Today's hybrid IT environments, which incorporate cloud and on-premise infrastructure, demand structural changes to agency security operations centers, or SOCs, to be better able to operate within cyberspace versus simply reacting to it. The structure of SOCs is already adapting and evolving to bring together defensive operations and the analysis of emerging threats with the strategic introduction of new technologies. The result is a mature, flexible, risk-based and cost-efficient approach to ensure the crown jewels of an enterprise remain secure. One key to succeeding in this environment is to apply both automation and orchestration. Automation is applied to both defense operations and threat hunting, using a combination of artificial intelligence and machine learning.
Video game lovers now have their own fully-fledged network again with the arrival of the Video Game Entertainment & News Network (VENN). The VENN began broadcasting live Wednesday at about 2:30 p.m. ET on its on website VENN.tv, as well as on Twitter, Twitch, YouTube and Facebook. The network has a full slate of programs including daily variety show VENN Arcade Live, the afternoon interactive show Guest House, and The Download, a daily gaming, pop culture and tech news show including host Erin Ashley Simon, esports commentator Matt Morello, and actor and musician Jimmy Wong ("Mulan"). VENN covers "the intersection of culture, entertainment, esports and gaming," Simon said in a promotional video posted on Twitter. But the network also shows that gamers "come in so many different shapes and forms we have so many different passions. And more importantly we are able to be ourselves. VENN is about uplifting and empowering content creators and gamers and talent and allowing us to be us."
If you've ever had a furious debate about the ungodly act of microwaving your cup of tea and how "it's the same" as boiling the kettle, you're about to lose -- not only to Britain but to science. Researchers have explained the process your zapped cuppa goes through in a new study published in the American Institute of Physics' peer-reviewed online journal AIP Advances, and why you might not be getting the best results from making it this way over the traditional kettle/stove method. The study, conducted by researchers at the University of Electronic Science and Technology of China, looked at how heating liquid works in a microwave, and how the electric field that acts as a warming source causes the liquid to end up different temperatures at the top and bottom of the cup. A good cup of tea is all about getting uniform temperature throughout your water and, though many scholars have studied uniformity and how to solve it within the microwave itself, these researchers have offered up a different possible solution (more on that later). Typically, the study describes, if you're warming a liquid like water on the stove or within a kettle, the heating source warms the container from below.
PHILADELPHIA - To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study published Tuesday in the journal Scientific Reports, led by senior author Spyridon Bakas, PhD, an instructor of Radiology and Pathology & Laboratory Medicine in the Perelman School of Medicine at the University of Pennsylvania. Federated learning -- an approach first implemented by Google for keyboards' autocorrect functionality -- trains an algorithm across multiple decentralized devices or servers holding local data samples, without exchanging them. While the approach could potentially be used to answer many different medical questions, Penn Medicine researchers have shown that federated learning is successful specifically in the context of brain imaging, by being able to analyze magnetic resonance imaging (MRI) scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.