Collaborating Authors

Artificial intelligence reduces a 100,000-equation quantum physics problem to only four equations


Using artificial intelligence, physicists have compressed a daunting quantum problem that until now required 100,000 equations into a bite-size task of as few as four equations--all without sacrificing accuracy. The work, published in the September 23 issue of Physical Review Letters, could revolutionize how scientists investigate systems containing many interacting electrons. Moreover, if scalable to other problems, the approach could potentially aid in the design of materials with sought-after properties such as superconductivity or utility for clean energy generation. "We start with this huge object of all these coupled-together differential equations; then we're using machine learning to turn it into something so small you can count it on your fingers," says study lead author Domenico Di Sante, a visiting research fellow at the Flatiron Institute's Center for Computational Quantum Physics (CCQ) in New York City and an assistant professor at the University of Bologna in Italy. The formidable problem concerns how electrons behave as they move on a gridlike lattice.

Tech Lead, Machine Learning Infrastructure


Nuro exists to better everyday life through robotics. We have an elite team of entrepreneurs, engineers, designers, and scientists. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to building meaningful products with this technology. Join us and play a critical role in our mission. Our team is growing and we are looking for talented engineers to join us.

Director, Data Science and Machine Learning


Daily Harvest makes nourishing food built on fruits and vegetables accessible. We do this by delivering thoughtfully sourced, chef-crafted food to customers' doorsteps, all ready to enjoy in minutes. We're on a mission to take care of food, so food can take care of you. Our team is collaborative, driven, and future-thinking. We're constantly learning, experimenting, and iterating, and celebrate failure just as much as success.

mPhase Names Machine Learning Expert Charles Martin


The board will consist of independent advisors with specific skills and contacts in areas of importance for the ongoing development of the mPower suite of mobility services. Charles Martin is considered a leading figure across multiple technology disciplines, with an established track record in machine learning, deep learning, data science, and AI software development, complemented by extensive domain experience in Natural Language Processing (NLP) for Search Relevance (as well as Text Generation and Quantitative Finance). Highly sought after in the software development field, he has personally developed and implemented machine learning (ML) systems at companies including Roche, France Telecom, GoDaddy, Aardvark (Google), eBay, eHow, Walmart, Barclays/BGI, and Blackrock. Much of his recent project work has been done under his advisory firm, Calculation Consulting, which he founded in 2010 to provide data science, machine learning, and deep learning solutions. He has also served as both a consultant and FTE distinguished engineer at GLG, a prestigious international consulting firm, where he developed AI methods for the search and recommendations platform.

Senior Data Engineer - Gdańsk (Remote)

#artificialintelligence is a supplier intelligence company helping organizations accelerate data-informed business decisions. Our unique, proprietary data platform tracks thousands of real-time signals across millions of companies globally, delivering best in class monitoring and insight into global supply chains, among other company cohorts. Our clients, including Fortune 100 companies, government and military agencies, SMEs, asset management groups, and others, use our technology for supply chain intelligence, market intelligence and related use cases. Through our modular, secure, customizable portal, our clients can monitor any company they are working with and drive critical actions in real-time. We are a well-funded technology company with leading investors from Silicon Valley and elsewhere, but are not your typical data or SaaS startup.

SICK, Festo Didactic create robot safety curriculum - The Robot Report


The educational program focuses on robot safety awareness and closing the skills gap in advanced manufacturing. SICK and Festo Didactic have partnered to create a Safety Awareness Bundle that combines curriculum and hardware to teach students robot safety holistically. The Safety Awareness Bundle's curriculum focuses on robot risk assessments and the implementation of the system approach. Festo Didactic developed the curriculum to help students learn industry best practices. The hardware components consist of a Festo Didactic manufacture production system (MPS), a simulated Cyber-Physical Smart Factory with a six-axis robot, SICK area scanners, safety PLC and safety relay.

Machine Learning and TensorFlow for Absolute Beginners


Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts. Google provided a grant to make this course possible.

Council Post: 10 Ways AI Is Transforming The Restaurant Industry


Artificial intelligence (AI) has paved the way for new, successful routes for many industries, including quick service restaurants (QSRs), to flourish. A Forrester survey reported that 69% of companies said they reduced operating costs with chatbots and automation using AI. A QSR is often defined as a fast-food or minimal table service restaurant, with limited menus, quick service, drive-throughs and tablets for ordering your food. Whether you're on the sales team at a QSR or just hungry for some burgers and fries, from the workforce to consumers, we've all used them. From improving customer experience to managing procurement expenditure and the supply chain, AI helps the restaurant industry improve its functions in multiple ways.

Is reinforcement (machine) learning overhyped?


Imagine you are about to sit down to play a game with a friend. But this isn't just any friend -- it's a computer program that doesn't know the rules of the game. It does, however, understand that it has a goal, and that goal is to win. Because this friend doesn't know the rules, it starts by making random moves. Some of them make absolutely no sense, and winning for you is easy.