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) …
We live in fascinating times, where Deep Learning [DL] is continuously applied in new areas of our life and very often, revolutionizes otherwise stagnated industries. At the same time, open-source frameworks such as Keras and PyTorch level the playing field and give everybody access to state-of-the-art tools and algorithms. Strong community and simple API of these libraries make it possible to have cutting edge models at your fingertips, even without in-depth knowledge of math that makes it all possible. However, the understanding of what is happening inside the Neural Network [NN] helps a lot with tasks like architecture selection, hyperparameters tuning, or performance optimization. Since I believe that nothing teaches you more than getting your hands dirty, I'll show you how to create a Convolutional Neural Network [CNN] capable of classifying MNIST images, with 90% accuracy, using only NumPy.
Is it possible some instances of artificial intelligence are not as intelligent as we thought? Call it artificial artificial intelligence. A team of computer graduate students reports that a closer examination of several dozen information retrieval algorithms hailed as milestones in artificial research were in fact nowhere near as revolutionary as claimed. In fact, AI used in those algorithms were often merely minor tweaks of previously established routines. According to graduate student researcher Davis Blalock at the Massachusetts Institute of Technology, after his team examined 81 approaches to developing neural networks commonly believed to be superior to earlier efforts, the team could not confirm that any improvement, in fact, was ever achieved.
Then this course is for you! This course is designed in a very simple and easily understandable content. You might have seen lots of buzz on deep learning and you want to figure out where to start and explore. This course is designed exactly for people like you! If basics are strong, we can do bigger things with ease.
The Defense Department is seeking to adapt artificial intelligence technology it uses to track down terrorists with drones or predict when aircraft need maintenance for a new purpose: screening and testing novel coronavirus treatments and vaccines. The Pentagon plans to boost existing programs with money Congress provided under the virus-relief CARES Act for the "development of artificial intelligence-based models to rapidly screen, prioritize, and test Food and Drug Administration approved therapeutics for new COVID-19 drug candidates." The AI funds would also be tapped for human test trials for vaccines and antibody based treatments, according to the spending plan the department submitted to congressional panels. Dick Durbin (Ill.), the Senate's No. 2 Democrat and ranking member on the Appropriations Defense Subcommittee, pressed for the plan's release. While the amount of money the Pentagon wants to use on these programs is small---close to $1 million--it shows some of the department's urgency to apply new technology to choke off the pandemic.
Even the best inventions and intentions can result in unintended consequences. Email vastly improved many forms of communication and information sharing -- but it also begat spam, phishing, and an entire industry in cybersecurity. Social media connected billions of people and spread democratic ideals -- but it also wrought hacked accounts, stolen data, "fake news," and election meddling. The same is true with today's "advanced technologies" that promise to revolutionize information gathering, data analytics, workplace mobility, and much more during the coming decade. The ethical considerations and possible regulation of artificial intelligence (AI), machine learning, robotics, and other advanced technologies are playing catch-up once again.
Identifying different foods on a tray can be a non-trivial task (Image source: Chris A. Tweten on Unsplash) Unfortunately, we don't always have sufficient time to enjoy a leisurely lunchtime meal. Suppose some of your workmates invite you to join them for lunch at a local fast-food restaurant. You all typically have a limited amount of time for your lunchtime break and you need to use this time wisely and efficiently. First, you have to get to the restaurant, either by walking or perhaps by taking a short drive. When you reach the restaurant, you have to select your food, pay for it, and eat it.
One of the hottest topics in robotics is the field of soft robots, which utilizes squishy and flexible materials rather than traditional rigid materials. But soft robots have been limited due to their lack of good sensing. A good robotic gripper needs to feel what it is touching (tactile sensing), and it needs to sense the positions of its fingers (proprioception). Such sensing has been missing from most soft robots. In a new pair of papers, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with new tools to let robots better perceive what they're interacting with: the ability to see and classify items, and a softer, delicate touch.
The Indian government yesterday stated the National Artificial Intelligence (AI) Portal, formed by National Association of Software and Service Companies (Nasscom) and backed from National e-Governance Division of the Ministry of Electronics and Information Technology (MeitY), is now live. The portal's objective is to function as a one-stop platform for all AI-related advancements in India, with sharing of useful resources like articles, investment funding news for AI startup, AI companies and educational firms on AI in India. The portal will also distribute documents, case studies, research reports etc, and provide learning and new job roles related to AI. The portal brings together ideas and thought leadership from Indian government stakeholders including Ministry of Electronics and Information Technology (MeitY), NITI Aayog, NASSCOM, along with state governments. The National AI Portal INDIAai is now live!
At this extraordinary moment in U.S. history, the evils of racism are on full display. It's no secret that technology has played a role in enabling racism to foment and spread. This is an ideal time to read, listen, and learn. Below are many resources -- research, articles, and books -- that speak to the intersection of race and bias in technology, particularly in the field of AI. These are a starting point for the education that all responsible citizens should acquire.
The last few years have seen digital pathology emerge as a vital technology for laboratories around the world, facilitating the sharing of data, supporting the faster and more accurate analysis of tissue samples, and enabling the faster development of new therapeutic techniques. It is being seen as facilitating the progression of medicine, as well as supporting the emerging field of precision medicine. Digital pathology involves imaging tissue samples, creating digital copies of these images, and sharing them in an online platform so they can be used in research and to inform medical cases around the world. The idea itself is old, but the technology required to support it has only become recently available. Therefore, recent years have seen the rapid widespread adoption of digital pathology as technology has advanced.