Tag: machine learning

Feed: Top Blog Posts. Author: Stephanie Glen. Machine Learning and the Search for E.T. Exoplanet Detection using ML has risen exponentially in the last decade. CNNs are identifying more Earth-like planets. If we do find extraterrestrial life, it will be with the help of AI. If there is life beyond Earth, it’s going to be found on an exoplanet—planets orbiting stars other than our own sun. The number of exoplanets is thought to number in the trillions [1], but despite an abundance of data from exoplanet-finding missions like Kepler, K2, and TESS, just a few thousand potential exoplanets have been ... Read More

Feed: Top Blog Posts. Author: Kurt A Cagle. Artificial Intelligence has a long history of oscillating between two somewhat contradictory poles. On one side, exemplified by Noam Chomsky, Marvin Minsky, Seymour Papert, and many others, is the idea that cognitive intelligence was algorithmic in nature - that there were a set of fundamental precepts that formed the foundation of language, and by extension, intelligence. On the other side were people like Donald Hebb, Frank Rosenblatt, Wesley Clarke, Henry Kelly, Arthur Bryson, Jr., and others, most not even as remotely well known, who developed over time gradient descent, genetic algorithms, back ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen. New research develops a robotic arm to restore mobility for people with disabilities. Advances in machine learning make accurate, universal controllers a possibility. Robotic prosthetics may be just around the corner. Brain computer interface (BCI) systems are a combination of software and hardware that can restore mobility and assist in medical diagnostics. Researchers at Cal State Northridge have recently developed a machine learning based, hands-free BCI controller for patients with paralysis and other serious physical disabilities that restrict limb movement [1]. The team created a semi-autonomous mobile robotic arm which performed imagined hand ... Read More

Feed: Top Blog Posts. Author: Varun Bhagat. Machine Learning has quickly become the go-to solution for tasks that are difficult to accomplish with traditional programming. From self-driving cars to AI assistants, Python is powering some of the biggest names in tech like Google, Facebook, and even NASA. Its versatility makes it a great candidate for Machine Learning, especially when Python was in the top five most wanted languages in the Stack Overflow survey. There is no denying the fact that the Python community is thriving, and the demand for Machine Learning engineers with Python knowledge has become a significant priority ... Read More

Feed: Top Blog Posts. Author: Divyesh Aegis. Whether you're acquainted with devices such as the Amazon Fire Stick, Chromecast, Spotify, Youtube, or SlingTV, you presumably already have a general understanding of what over-the-top (OTT) television is. Numerous television viewers are rapidly turning away from traditional programming and toward over-the-top (OTT) services. Because this transformation seems to be unavoidable, the majority of media firms are publicly welcoming the transition. But what exactly is OTT? In this article, we'll go over all there is to know about over-the-top television, beginning with its description and rising significance in the television business. We'll also ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen. Machine Learning and the Search for E.T. Exoplanet Detection using ML has risen exponentially in the last decade. CNNs are identifying more Earth-like planets. If we do find extraterrestrial life, it will be with the help of AI. If there is life beyond Earth, it’s going to be found on an exoplanet—planets orbiting stars other than our own sun. The number of exoplanets is thought to number in the trillions [1], but despite an abundance of data from exoplanet-finding missions like Kepler, K2, and TESS, just a few thousand potential exoplanets have been ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen. Thousands of people are injured by turbulence every year. New machine learning model gives high-accuracy, 10 second warning for turbulence. The model may lessen in-flight injuries and save lives. Turbulence is one of the leading cause of injuries on passenger planes and—if you don’t have your seat belt on—those injuries can be fatal. Approximately 58 people are injured by turbulence every year in the U.S. while not wearing their seat belts [1]. While fatalities for commercial flights are rare, when you factor in general aviation—which includes aerial flight training, medevac operations, and recreational ... Read More

Feed: Top Blog Posts. Author: Stephanie Glen. New research develops a robotic arm to restore mobility for people with disabilities. Advances in machine learning make accurate, universal controllers a possibility. Robotic prosthetics may be just around the corner. Brain computer interface (BCI) systems are a combination of software and hardware that can restore mobility and assist in medical diagnostics. Researchers at Cal State Northridge have recently developed a machine learning based, hands-free BCI controller for patients with paralysis and other serious physical disabilities that restrict limb movement [1]. The team created a semi-autonomous mobile robotic arm which performed imagined hand ... Read More

Feed: Top Blog Posts. Author: Varun Bhagat. Machine Learning has quickly become the go-to solution for tasks that are difficult to accomplish with traditional programming. From self-driving cars to AI assistants, Python is powering some of the biggest names in tech like Google, Facebook, and even NASA. Its versatility makes it a great candidate for Machine Learning, especially when Python was in the top five most wanted languages in the Stack Overflow survey. There is no denying the fact that the Python community is thriving, and the demand for Machine Learning engineers with Python knowledge has become a significant priority ... Read More

Feed: Top Blog Posts. Author: Shanthababu P. "Thus learning is not possible without inductive bias, and now the question is how to c right bias. This is called model selection." ETHEN ALPAYDIN (2004) p33 (Introduction to Machine Learning)There are many more definitions concerning Model Selection. In this article, we are going to discuss Model Selection and its strategy for Data Scientists and Machine Learning Engineers.An ML model(s) are always constructed using various mathematical frameworks and that would generate predictions based on the nature of the dataset and finding patterns out of it.Most of them are really confused between two terminologies in machine ... Read More