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) …
I was at work as a postman. I hated my job, but I had to do it to fund my way through college. Whenever I was on my post walks, I'd listen to interviews of people I admired. One day, I just so happened to be listening to a Bill Gates interview, and someone from the audience asked him what he'd be doing if he hadn't created Microsoft. He responded along the lines of "I'd be testing the limits with Natural Language data," and that he'd be an AI researcher.
Description The artificial intelligence is a large field includes many techniques to make machine thinks. Therefore, in this course, we investigate the mimicking of human intelligence on machines by introducing a modern algorithm of artificial intelligence named convolutional neural network which is a technique of deep learning for computers to make the machine learn and expert. In this course, we present an overview of deep learning in which, we introduce the notion and classification of convolutional neural networks. We gives also the definition and the advantages of CNNs. In this course, we provide the tricks to elaborate your own architecture of CNN and the hardware and software to design a CNN model. In the end, we present the limitation and future challenges of CNN.
Using machine learning methods, researchers at TU Graz can predict the structure formation of functionalized molecules at the interfaces of hybrid materials. Now they have also succeeded in looking behind the driving forces of this structure formation. The production of nanomaterials involves self-assembly processes of functionalized (organic) molecules on inorganic surfaces. This combination of organic and inorganic components is essential for applications in organic electronics and other areas of nanotechnology. Until now, certain desired surface properties were often achieved on a trial-and-error basis. Molecules were chemically modified until the best result for the desired surface property was found.
Every single one of your thoughts is made possible by your biological neurons. And behind many of the most useful A.I architectures is an entity inspired by them. Neurons are at the epicenter of the processing that underpins the complexity produced by intelligent systems. Curious to know more about the engine of your thoughts and about how they compare to their artificial counterparts? A.I neurons were originally inspired by our biological ones, yet they are very different.
Artificial Intelligence (AI) can provide humans great relief from numerous repetitive tasks, with automation increasing productivity. Furthermore, AI powered machines and devices are fast and efficient: learning, predicting, and deciding with superhuman accuracy. Concurrently, the use cases for augmentative AI are expanding, with numerous industries and organizations looking to tap into the potential. This is clearly the situation in two key Healthcare and Life Sciences (HCLS) areas: neuroscience and radiology. In both areas, radiologists, MRI technicians and physicians must spend hours sifting through images, searching for markers and anomalies that may spur a disease diagnosis.
PUNE AI-enabled radiology platform DeepTek is playing an important role in precise diagnosis of diseases like TB and Covid-19. The Pune-based startup has received strategic investment from a clutch of investors so far, and is eying another VC round in next six months. Patil completed his schooling from SSPMS school and engineering from COEP in 1992. He has a Master's degree from IIT-Kharagpur in Industrial Engineering and Operations Research. Amit Kharat, with a DNB and PhD in Radiology, has been engaged in the radiology space for the last 17 years.
Animal Crossing, like other games of its Nintendo Switch ilk, is meant to be grazed upon. It's designed for short bursts rather than binge sessions. There's only so much you can do in one day of play--hit your rocks, pick your fruit, check in at the shops to see what's new--then it's done. It's a nice reprieve from Assassin's Creed marathons for sure, but it can also start to drag if you play for too long. Once you're no longer enamored with the game, it just feels like a chore, and no one has time for that.
The European Union's executive arm proposed a bill that would limit police use of facial-recognition software in public and ban the marketing or use of certain kinds of AI systems, in one of the broadest efforts yet to regulate high-stakes applications of artificial intelligence. The bill proposed on Wednesday would also create a list of so-called high-risk uses of AI that would be subject to new supervision and standards for their development and use, such as critical infrastructure, college admissions and loan applications. Regulators could fine a company up to 6% of its annual world-wide revenue for the most severe violations, though in practice EU officials rarely if ever mete out their maximum fines. The bill is one of the broadest of its kind to be proposed by a Western government, and part of the EU's expansion of its role as a global tech enforcer. In recent years, the EU has sought to take a global lead in drafting and enforcing new regulations aimed at taming the alleged excesses of big tech companies and curbing potential dangers of new technologies, in areas ranging from digital competition to online-content moderation.
Salesforce today rolled out the next generation of Service Cloud, including enhancements to Cloud Voice and Einstein Bots. The company says that the features and products are intended to address the new reality brought about by the coronavirus pandemic. Over the past year, service agents moved quickly to work from home but were forced to rely on legacy technology that wasn't designed to manage distributed workforces. Today, parts of the world are beginning to reopen, but these reopenings are raising questions around updated policies, protocols, and safety measures. This adds a new level of challenge for agents, who are already contending with increased workloads.
"The traveling salesman problem (also called the traveling salesperson problem or TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in theoretical computer science and operations research. This attempt is not based on optimizing cost but rather on simply the literal interpretation of the problem i.e., given a set of points, what is the shortest loop that can be made from a given point. It also assumes that salesman is travelling in 2-D plane and not on the surface of a sphere like the earth. In short this is the euclidean TSP, which is also an np-hard problem in computer science.