The operator learning has received significant attention in recent years, with the aim of learning a mapping between function spaces. Prior works have proposed deep neural networks (DNNs) for learning such a mapping, enabling the learning of solution operators of partial differential equations (PDEs). However, these works still struggle to learn dynamics that obeys the laws of physics. This paper proposes Energy-consistent Neural Operators (ENOs), a general framework for learning solution operators of PDEs that follows the energy conservation or dissipation law from observed solution trajectories. We introduce a novel penalty function inspired by the energy-based theory of physics for training, in which the energy functional is modeled by another DNN, allowing one to bias the outputs of the DNN-based solution operators to ensure energetic consistency without explicit PDEs. Experiments on multiple physical systems show that ENO outperforms existing DNN models in predicting solutions from data, especially in super-resolution settings.

It seems pretty much anything can be made smart these days – and that goes for services as well as products. This "cognification" of products and services is a major consumer trend that's impacting all industries. In other words, whatever your sector, you can be sure your customers will soon expect more intelligent offerings (that's if they don't already expect it). Let's look at the smarter products, smarter services trend, and see how other businesses are embracing it. You can slap the "smart" label on anything, but for a product to be truly intelligent, in my view, it needs to be connected.

The technology of the '90s, including innovations in 3D graphics and affordable storage in the form of CD-ROMs, opened doors for a new generation of video game innovators. One of them was Kenji Eno. Eno's games became known for their singular creativity, though they never managed to land major commercial success. But that was all part of what kept Eno going and inspired his fervent work ethic and indie-first mindset. "Eno's work serves as a lesson in overcoming hardship," says John Andersen, a writer and video game historian.

Artificial Intelligence is taking over the music industry. These AI songs are a blend of human and AI technologies like machine learning.

Artificial Intelligence (or AI) is already being widely deployed across industries, sometimes in ways you wouldn't even have imagined. The financial sector, which is heavily regulated, may not seem like an industry that would be poised to harness cutting-edge technology. But with the right planning, regulatory experts, and smart selection of use cases, AI can be put to work for the good of the employees and customers. AI in banking and finance can also lead to huge cost savings, within different business units or channels. There are three main channels where banks can use artificial intelligence.

"I'm extremely excited about the future of the intersection between conversational AI and the multitude of platforms that are being developed around these capabilities," said Linden Hillebrand, VP Global Customer Success and Support at Cloudera during his opening remarks at the Transform 2020 Conversational AI Summit. Over the course of the day tech giants from Adobe and Capital One to Google, Amazon, and Twitter spoke about how they're using conversational AI to solve problems for their businesses in new and innovative ways. The technology is being leveraged for both text chatbots and the NLP-powered voice assistants that are increasingly able to understand intent and offer a seamless, personalized user experience, helping automate the majority of customer interactions. But in most sessions, panelists emphasized that implementing these AI technologies also means tackling some of the bigger picture issues, including fairness, explainability, and elimination of bias. Data company Cloudera had a head start in developing a conversational AI platform: the vast data sets they had stored from past customer issues and solutions.

On a recent Tuesday evening, the experimental musician Julianna Barwick checked into Sister City, a new two-hundred-room boutique hotel on the Lower East Side of Manhattan. If you're having the sort of day that makes you want to minimize human interaction, Sister City is a merciful oasis: there are self-service registration kiosks in the lobby, and each floor features a supply closet containing the sorts of sundries that you'd usually have to request from the concierge. The lobby has sparse but careful décor--clean white walls, cherry-wood furniture, floor tiles in muted shades of green and gray--suggesting a Scandinavian sauna, or perhaps the careful serenity of a Japanese stationery store; the vibe is "Serenity Now!" filtered through Instagram. Barwick, who has long, dark hair and inquisitive eyes, is using the sky immediately above the hotel as a source for a new composition. A camera mounted to the roof of the building sends information about the goings-on in the airspace above the hotel (rain, clouds, pigeons, airplanes, wind, sun, moonlight, drones, helicopters, constellations, what have you) to Pereira's program, which uses Microsoft's artificial intelligence to cue sounds written and recorded by Barwick.

We've been hearing a lot of talk about chatbots lately. Some of these conversations are about the ways that companies are having success with chatbots, but others are about brands that have failed to implement them properly. A chatbot is a piece of software that can simulate human conversation. A human types or speaks a request, and the AI chatbot processes the language and provides the appropriate response. Depending on the programming, the functionality can vary significantly.

In March at SXSW 2017, Capital One launched an invite-only pilot of Eno, the first natural language SMS chatbot from a U.S. bank. Today, we're thrilled to announce that Eno has emerged from the pilot and is now available to text with millions of Capital One U.S. credit card and bank customers. So, what has Eno learned during the past seven months? Some are very to the point and all about abbreviations ("bal"). Others are chatty and speak in natural language ("Hi Eno! How much money do I have today?").

From ATMs and mobile wallets to chatbots and robo-advisors, technology relentlessly transforms how we store, transfer, and manage money. Capital One moves at the forefront of this transformation -- one of the largest and among the first banking institutions in the U.S. to make serious investments in digital technology and artificial intelligence. Several major financial services firms have publicly announced ambitious plans for AI, including consumer-facing chatbots. Months later, they still haven't shipped. Capital One is one of the few exceptions to the rule.