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) …
Renzo Zagni is the Co-Founder and Head of Product Development at Intelenz, a Silicon Valley Founder Institute portfolio company. Intelenz leverages the power of AI and machine learning to automate workflows and day to day processes for large enterprise organizations. Process automation enables enterprises to design workflows that reduce manual work, minimize risk, and accelerate process execution times while increasing overall business productivity. In short, process automation allows business to do more, with less, while also eliminating the risk of employee burnout, human error and extended product delivery outcomes. Intelenz's platform includes a patented No-Code'Virtual Process Manager' software, which uses AI and machine learning models through an intuitive user interface.
There is no denying that Artificial Intelligence (AI) is the future of cybersecurity. In other words, the future of cybersecurity lies in the hands of Artificial Intelligence (AI). Companies or medium-sized corporations can counter various cyber threats using the advanced concepts of AI. If you want to know about different AI predictions that will positively influence cybersecurity in 2021 and in the future, read this post in detail. According to a recent research conducted by Trend Micro, Artificial Intelligence (AI) will replace the need for human beings by the end of 2030.
Pandas is an extremely useful tool for Data Analysis. So, lets dive straight into some tricks that will make your life simpler using Pandas apply function. In this blog post, we will learn about how to unleash the power of pandas apply function. Create a Data frame(Table) using random data. Pass multiple arguments to a function using apply.
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
Sometimes, vocations and avocations need a champion, and students in Massachusetts looking to further their knowledge of science, technology and robotics have one in state Rep. Danillo Sena. A House member representing the 37th Middlesex District, Sena filed a bill on Feb. 4 titled "An Act establishing an elementary and secondary school robotics grant program," meant to create a grant program that provides public and charter schools the necessary funding to increase robotics and STEM participation during and after school. STEM stands for science, technology, engineering and mathematics, a branch of education designed to help students to become better problem-solvers. "Money should not be a barrier between students and access to fun and engaging STEM education programs that foster creativity and have lasting positive effects on student achievement like these robotics teams," the Acton Democrat stated in a release. The bill was created in collaboration with Olivia Oestreicher, a member of Team 4905 Andromeda One Robotics at Ayer Shirley Regional High School and a Rep. Sena intern.
For anyone who has ever misplaced their iPhone, Apple's "Find My" app is a game-changer that borders on pure magic. Sign into the app, tap a button to sound an alarm on your MIA device, and, within seconds, it'll emit a loud noise -- even if your phone is set on silent mode -- that allows you to go find the missing handset. Yeah, it's usually stuck behind your sofa cushions or left facedown on a shelf somewhere. You can think of SArdo, a new drone project created by researchers at Germany's NEC Laboratories Europe GmbH, as Apple's "Find My" app on steroids. The difference is that, while finding your iPhone is usually just a matter of convenience, the technology developed by NEC investigators could be a literal lifesaver.
Most artificial intelligence is still built on a foundation of human toil. Peer inside an AI algorithm and you'll find something constructed using data that was curated and labeled by an army of human workers. Now, Facebook has shown how some AI algorithms can learn to do useful work with far less human help. The company built an algorithm that learned to recognize objects in images with little help from labels. The Facebook algorithm, called Seer (for SElf-supERvised), fed on more than a billion images scraped from Instagram, deciding for itself which objects look alike. Images with whiskers, fur, and pointy ears, for example, were collected into one pile.
Algorithms tend to scare a lot of ML practitioners away, including me. The field of machine learning arose as a method to eliminate the need to implement heuristic algorithms to detect patterns, we left feature detection to neural networks. Still, algorithms have their place in the software and computing domain, and certainly within the machine learning field. Practising the implementation of algorithms is one of the recommended ways to sharpen your programming skills. Apart from the apparent benefit of building intuition on implementing memory-efficient code, there's another benefit to tackling algorithms which is the development of a problem-solving mindset.
An academic and a lawyer have teamed up to develop a robot lawyer, which, if successful, will make legal advice affordable to people from all backgrounds, while revolutionising the legal sector. Robots could take on significant parts of a lawyer's work, reducing the costs and barriers to access to legal services for everyone, rather than just those who can afford the high costs. The project, at the University of Bradford, is initially working on a machine learning-based application to provide immigration-related legal advice, but if successful, it could be replicated across the legal sector. The idea has received government backing in the form of a £170,000 grant from Innovate UK Knowledge Transfer Partnerships. Legal firm AY&J Solicitors is providing a further £70,000 as well as the vital knowledge of lawyers.
The Annin Robotics AR2 and AR3 are free open plan low cost robots anyone can make themselves. They can be made using aluminum components or you can 3D print the parts yourself. The AR2 robot was the initial release of this robot and is the open loop version, The AR3 is the next generation and is identical to the AR2 with the exceptions of being closed loop (encoders) and having updated covers & spaces as well as an updated wiring harness. The 3D print files, operating software and assembly manuals can all be found on our downloads page for free. The goal of the AR2 and AR3 was to create a low cost option so that anyone could build a 6 axis robot for fun, educational purposes or small production operations.