Artificial Intelligence and Machine Learning

3 Types of Artificial Intelligence (AI) to Impact Clinical Research in the Next 3 Years Generally, research studies recommend looking at AI through the lens of business capabilities rather than technologies. There are three types of AI being deployed by life science businesses that can provide a framework for improving efficiencies. Very broadly, AI can support  1)  automation of business processes , 2)  gaining insight into data  through data analysi s , and 3)  making critical decisions  based on the large volumes of data and thus impacting overall business through the big data analysis and engagement with the customers, patients, suppliers and employees. Process Automation / Focus on Efficiencies This type of AI relates to automation of what we can broadly call ‘back-office’ function and it is deployed through more efficient handling of digital and physical tasks using technology. Such tasks may include Transferring the data ...

What are some of the most recent developments in AI? With so many emerging applications for artificial intelligence making a splash across a wide range of industries, it can be difficult to keep up. This post will touch on some cool advances made in 2019 and look at what’s on the horizon. AI takes a deep dive Robotics is a prime area of development for the AI community so it’s no surprise that there are plenty of start-ups conducting research with the intention of taking the field further. Seattle company Olis Robotics caught the attention of  GeekWire  earlier this year with a solution designed to take robotics not just to the next level,  but somewhere else entirely . According to CEO Don Pickering, “Olis Robotics’ innovation currently manifests in a plug-and-play controller loaded with our AI-driven software platform. The controller and our proprietary software can operate tethered robots on the ocean floor, satellite servicing robots using high-latency sat...

Developed by Guido van Rossum in 1990’s, Python is an all purpose programming language that is object-oriented, and interactive. Similar to the programming language Perl, Python’s source code can be found under the GNU General Public License (GPL). Why you should learn Python? Python is an asset to working professionals or even students who are aspiring to become software engineers, especially when they are/they want to work in the web development domain. Few advantages of learning Python are: Python is a Beginner’s Language  − Python is a great choice for beginner-level programmers. It is highly compatible with a lot of applications, be it games, WWW browsers or simple text processing Python is Interactive  − With Python, the user can directly interact with the interpreter to write their programs Python is Interpreted  −  The interpreter processes this programming language at runtime. There is no need for the user to compile the program before execut...

“Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup. Machine Learning: Living in the Age of AI | A WIRED Film

The human body is not infallible, but through the wonders of A.I. research scientists are finding ways to address those imperfections. A.I. has the potential to heal, enhance and make up for the things our bodies lack. Artificial intelligence originally aspired to replace doctors. Researchers imagined robots that could ask you questions, run the answers through an algorithm that would learn with experience and tell whether you had the flu or a cold. However, those promises largely failed, as artificial intelligent algorithms were too rudimentary to perform those functions. Particularly tricky was the variability between people, which caused basic machine learning algorithms to miss the patterns. Eventually though, a subset of AI called deep learning became sensitive enough to recognize speech from voice data. Although deep learning algorithms required loads of training data, they could eventually learn to recognize words regardless of accents and other differences in speech...

This Edureka video on "Artificial Intelligence" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners.

As artificial intelligence becomes less of an ambiguous marketing buzzword and more of a precise ideology, it's increasingly becoming a challenge to understand all of the AI terms out there. So to kick off the brand new AI Zone, the Editorial Team here at DZone got together to define some of the biggest terms in the world of artificial intelligence for you.  A Algorithms : A set of rules or instructions given to an AI, neural network, or other machines to help it learn on its own; classification, clustering, recommendation, and regression are four of the most popular types. Artificial intelligence : A machine’s ability to make decisions and perform tasks that simulate human intelligence and behavior. Artificial neural network (ANN) : A learning model created to act like a human brain that solves tasks that are too difficult for traditional computer systems to solve. Autonomic computing : A system's capacity for adaptive self-management of its own resources for high...

Artificial Intelligence (AI) continues to make its way into the world, influencing popular culture (think Steven Spielberg’s “A.I.”, or Disney’s “Big Hero 6”) and becoming a disruptor is a variety of industries. From customer service chatbots to extremely sophisticated autopilot driving machines, artificial intelligence is undoubtedly making an impact on everything around us. And marketers have the opportunity to make AI work for them. To understand how AI impacts our marketing world, we need to know the language of AI and have a basic understanding of how it works. Some important terms to become familiar with: Algorithm An algorithm is a formula representing the relationship between certain variables. Think of algorithms as a simple set of instructions with a finite end designed to produce an output. An every day example of an algorithm is a recipe. You have a set amount of inputs (ingredients) designed to produce a repeatable output — apple pie, for example. Machine learn...

It’s almost harder to understand all the acronyms that surround artificial intelligence (AI) than the underlying technology. Couple that with the different disciplines of AI as well as application domains and it’s easy for the average person to tune out and move on. Below we attempt to explain the important parts of artificial intelligence and how they fit together. At Sonix we are specifically focused on automatic speech recognition so we explain the key technologies with that in mind. First let’s start with some of the most commonly used acronyms and their definitions: Artificial Intelligence (AI) - the broad discipline of creating intelligent machines Machine Learning (ML) - refers to systems that can learn from experience Deep Learning (DL) - refers to systems that learn from experience on large data sets Artificial Neural Networks (ANN) - refers to models of human neural networks that are designed to help computers learn Natural Language Processing (NLP) - refers to sy...