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) …
You may have realized something now. The overwhelming success of speech-enabled products like Amazon Alexa has proven that some degree of speech support will be an essential aspect of household technology for the foreseeable future. In other words, speech-enabled products would be a game changer as that offer a level of interactivity and accessibility that few technologies can match. Check out what books helped 20 successful data scientists grow in their career. Speed is a big reason voice is poised to become the next major user interface.
Machine learning is a great tool that is revolutionizing our world right now. There are lots of great applications in which machine and in particular deep learning has shown to be way superior to traditional methods. Beginning from Alex-Net for Image Classification to U-Net for Image Segmentation, we see great successes in computer vision and medical image processing. Still, I see machine learning methods fail every day. In many of these situations, people fell for one of the seven sins of machine learning.
The first Amazon Echo device designed for use in a car has finally been launched in the UK and Ireland, after being first revealed by the tech giant back in 2018. Amazon Echo Auto allows drivers to play music, check the news, make calls and check their schedule without taking hands off the wheel or eyes off the road. The £49.99 device, which clips to car air vent mounts, is powered by Alexa, the company's digital assistant, just like the rest of the Echo smart speaker range. Drivers can use Alexa voice commands such as'Alexa, start my road trip playlist' to enjoy their journey safely without being distracted by their phone. The three-inch-long black box gets internet connectivity by connecting to a user's smartphone and the Alexa app, and using its existing data plan.
Social distancing is still in full effect for most of us--and that means your steady stream of video calls with friends and family probably won't slow down anytime soon. It's easy to use your smartphone or laptop to see your friends and family, but Facebook Portal, a smart video display that features Amazon Alexa, makes quarantine video chat awesome with its augmented reality effects and other cool features. The Portal Plus has a respectable speaker and a display that swivels to change between portrait and landscape modes. Facebook Portal is a smart video display screen that closely resembles a picture frame. The device uses Facebook Messenger or WhatsApp to make video calls, but the person you're trying to call doesn't need a Portal to answer your call--just a Facebook Messenger or WhatsApp account.
A recording of a cough, the noise of a person's breathing or even the sound of their voice could be used to help diagnose patients with Covid-19 in the future, according to Professor Cecilia Mascolo, co-director of the centre for mobile, wearable systems and augmented intelligence at the University of Cambridge, UK. Prof. Mascolo has developed a sound-collecting app to help train machine learning algorithms to detect the tell-tale sounds of coronavirus infection. Created as part of a project called EAR, she hopes it might eventually lead to new ways of diagnosing respiratory diseases and help in the global fight against coronavirus. The human body makes noises all of the time. Our heart, lungs and digestive system all make noises and they can tell us a lot.
A smartphone app may be able to diagnose coronavirus by using the microphone in the device to measure changes in breathing sounds, the developers claim. Researchers from the University of Pennsylvania say, if successful, their work would provide a'low cost solution' to testing an entire population quickly. It is still at the planning stage so it could be some time before it is available in app stores - the team say they first have to design new'acoustic waveforms'. The technology will use artificial intelligence to examine the sound coming from human airways and determine if it matches those from COVID-19 patients. When developed the app will use existing hardware and computing power of normal smartphones to provide'non-invasive at-home testing', developers claim.
Friedrichshafen, 15 April 2020 – CIMON-2, the updated version of the CIMON astronaut assistant, developed and built by Airbus for the German Aerospace Center Space Administration (DLR), has now demonstrated its capabilities during initial tests on the International Space Station (ISS). The free-flying, spherical technology demonstrator with artificial intelligence (AI) showed off a number of its features during interactions with ESA astronaut Luca Parmitano. CIMON-2 started its journey to the ISS on 05 December 2019, launching with the CRS-19 supply mission from the Kennedy Space Center in Cape Canaveral, Florida. It is scheduled to stay on the ISS for up to three years. Just shy of two months after the successful first use of CIMON-2, the project team has now received the analysis.
A reminder to those who are working at home: You might want to turn your Amazon or Google smart home speaker them off, or at the very least, mute the microphone. What most people forget is that Alexa and the Google Assistant are always listening. Sure, they only come to life after you utter "Alexa" or "Hey, Google," but what happens when you slip those words in the middle of sentences? Amazon and Google record every interaction, even if you don't ask a specific question, and the recordings are stored on Amazon and Google servers. Sometimes the speakers are awakened with words that they mistake for the wake words.
Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data In this video, I will be showing you how to perform principal component analysis (PCA) in Python using the scikit-learn package. PCA represents a powerful learning approach that enables the analysis of high-dimensional data as well as reveal the contribution of descriptors in governing the distribution of data clusters. Particularly, we will be creating PCA scree plot, scores plot and loadings plot. This video is part of the [Python Data Science Project] series. If you're new here, it would mean the world to me if you would consider subscribing to this channel.
Machine Learning in Python: Building a Linear Regression Model In this video, I will be showing you how to build a linear regression model in Python using the scikit-learn package. We will be using the Diabetes dataset (built-in data from scikit-learn) and the Boston Housing (download from GitHub) dataset. This video is part of the [Python Data Science Project] series. If you're new here, it would mean the world to me if you would consider subscribing to this channel. Disclaimer: Chanin is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to http://www.amazon.com.