Media
r/MachineLearning - [P] Introducing Deepkit - the first collaborative desktop app for deep learning experiments. Experiment tracking, model debugging, infrastructure management.
An app that helps you visualize, debug, track, and run ML/DL experiments, directly on your workstation or on your own servers, in your LAN or in the cloud. Deepkit will be free for individual users and available in all app stores. You can use the app alone or use the real-time collaborative features within a team using the Deepkit team server. We're are looking for alpha users that want to help us building a better, cheaper and more efficient way of doing ML/DL experiments. If you're interested, please register at the website directly or use this link.
Intercon World Keynote Dr. Ganapathi Pulipaka Receives a Top 50 Technology Leader Award for His Contributions to AI, Machine Learning, Mathematics, and Data Science
At the Intercon conference, Dr. GP gave a motivational keynote speech on Deep Reinforcement Learning and the landscape of machine learning and artificial intelligence that inspired the audience. He noted that the MIT Technology Review has downloaded 16,625 research papers from arxiv that are publicly available under the computer science and artificial intelligence section through November 2018. Through natural language processing techniques on the abstracts, the words "constraint," "theory," "rule," "logic," "program," "learning," "network," "data," "task," and "performance" have been evaluated to find the reinforcement learning boom in recent times. Dr. GP said trends have shown the rise of traditional neural networks in the 1950s and 1960s, symbolic approaches in the 1970s, knowledge-based and rule-based systems in 1980s, support vector machines in 1990s, and the reign of neural networks in the 2010s with the advent of heavy implementation of deep neural networks. Deep Traffic is a reinforcement learning simulation based on the 24,000 entries received on MIT's Deep Traffic competition on self-driving cars that drive on a multi-lane freeway with a model-free off-policy reinforcement learning process that inspires a number of data scientists and machine learning enthusiasts to evaluate the Deep-Q-Learning reinforcement learning network variants and hyperparameter configurations with episodic iterations training of 96.6 years of RL simulations, 572.2 million crowdsourced and optimized DQN hyperparameters to train the agents successfully.
r/artificial - History of ArtificialIntelligence
Japan's Fifth Generation AI is notable. They thought they had figured out how to do AI; just put the use the rules of mathematical logic (logic programming) into a computer and you will get StrongAI. But this is a simplistic view of how intelligence works. Today these shortcomings are referred to as Philosopher's Disease. The first outbreak was with Aristotle and his friends.
Obsbot Tail AI Camera Review - Perfect Vlogging Camera? - Reviewify
Obsbot Tail is an AI driven camera originally crowdfunded on Indigogo and Kickstarter, which is ideal for those who film solo but would like movement while filming. I was a backer and had a delay in arrival while the campaign progressed, something you won't experiance as it's now widely available via Amazon. I was impressed with the packaging, it's a professional looking product that arrived in a mostly black box with a red panel from the inner box. Opening it up I found the Obsbot snugly tucked away in the included carry case, a great addition as this has been designed with portability in mind, along with USB type C charging cable. I found setup very simple, I download a companion app to my mobile, powered on Obsbot and connected to its Wi-Fi.
Free Webinar- Take the first step towards machine learning Cognixia
Humans can typically create one or two good models a week; machine learning can create thousands of models a week. Machine learning has evolved from a fuzzy textbook phrase to sophisticated algorithms, omnipresent in our day-to-day lives without us even realizing. We have all been stunned by the growth of technology in this era, whether it is Facebook's uncanny ability to pick out and tag people or Netflix's personalized recommendations. Machine learning has become quite the trend in the fourth industrial revolution and is not fizzling out any time soon. It is a part of the broad category of data science, which takes the solution a step further by using algorithms that finally helps in making informed decisions.
Jexi Trailer: Artificial Intelligence Gets a Little Too Real for Adam Devine - ComingSoon.net
Lionsgate has released the official Jexi trailer (previously titled Lexi) for the upcoming comedy starring Adam Devine (Pitch Perfect, Workaholics, Magic Camp) and Rose Byrne (Insidious, Spy, Bridesmaids). You can check out the trailer now in the player below! RELATED: I Still Believe Trailer Reveals K.J. Apa as Singer Jeremy Camp Phil (Adam Devine) has a major dependency issue -- he's addicted to his phone. He has no friends, he has a job writing pop culture "Top 10" lists, and his love life is non-existent. But his Facebook status is about to change. When he is forced to upgrade his phone, the latest model comes with an unexpected featureโฆJexi (Rose Byrne), an A.I. life coach, virtual assistant, and cheerleader.
How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions
Amundsen combines it backend architecture with a simple user experience that enables the search and exploration of datasets. Netflix has been an active contributor to open source technologies in the big data space and data discovery and management is not the exception. Metacat is Netflix's solution to automate the lifecycle of metadata assets. Functionally, Metacat is a federated service providing a unified REST/Thrift interface to access metadata of various data stores.
Four Challenges to Overcome for AI-Driven Customer Experience
To launch a successful virtual agent project for your organization's customer service capability, the company must overcome four hurdles. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Are you ready to turn your company's customer service over to AI-powered virtual agents? Whether your goals include creating a fully digital business, improving customer experience, or cutting costs, virtual agents and automation offer many benefits. Consider the experience of Mark Baylis, vice president of customer service and digital customer engagement at Optus, Australia's second-largest telecom operator.
Top 50 Statistics Blogs of 2019
Statistics is a branch of mathematics that deals with the interpretation of data. Statisticians work in a wide variety of fields in both the private and the public sectors and can be found anywhere - Nevada, Washington, New Hampshire, Louisiana. They are teachers, consultants, watchdogs, journalists, designers, programmers, and by in large, ordinary people like you and me. In searching for the top statistics blogs on the web we only considered recently active blogs. In deciding which ones to include in our (admittedly unscientific) list of the 50 best statistics blogs we considered a range of factors, including visual appeal/aesthetics, frequency of posts, and accessibility to non-specialists.
Artificial Super Intelligence Might Be Closer than You Think
According to Gartner's survey of over 3,000 CIOs, Artificial intelligence (AI) was by far the most mentioned technology and takes the spot as the top game-changer technology away from data and analytics, which is now occupying a second place. AI is set to become the core of everything humans are going to be interacting with in the forthcoming years and beyond. Robots are programmable entities designed to carry out a series of tasks. When programmers embed human-like intelligence, behavior, emotions, and even when they engineer ethics into robots we say they create robots with an embedded Artificial Intelligence that is able to mimic any task a human can perform, including debating, as IBM showed earlier this year at CES Las Vegas. IBM has made a human-AI debate possible through its Project Debater, aimed at helping decision-makers make more informed decisions.