news    articles    opinions    tutorials    concepts    |    about    contribute     republish

articles

by   -   April 1, 2020

What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during March 2020.

Results are powered by Arxiv Sanity Preserver.

by   -   March 31, 2020

By Gerrit Klasen

Use of dialogue systems such as Alexa, Siri, and Google Assistant raises several questions. In recent years, these virtual personal assistants have become the most popular representatives of their field. Although the quality of the communication and the supported languages is improving day-by-day, there are still several concerns.

by   -   March 30, 2020

China AI policies

By Yi Chang and Chengqi Zhang

Artificial intelligence (AI) has entered into a new era, and its rapid development will profoundly affect the everyday life of citizens worldwide. Countries around the world are establishing governmental strategies and initiatives to guide the development of AI. The Chinese government is using the development of AI as a major strategy to enhance national competitiveness and protect national security.

by   -   March 26, 2020
Hercules Slaying the Hydra

By Paul Michel

Since their inception in this 2017 paper by Vaswani et al., transformer models have become a staple of NLP research. They are used in machine translation, language modeling, and in general in most recent state-of-the-art pretrained models (Devlin et al. (2018), Radford et al. (2018), Yang et al. (2019), Liu et al. (2019) among many, many others).

by   -   March 25, 2020

By Richard Liaw, Eric Liang and Kristian Hartikainen

In this blog post, we share our experiences in developing two critical software libraries that many BAIR researchers use to execute large-scale AI experiments: Ray Tune and the Ray Cluster Launcher, both of which now back many popular open-source AI libraries.

by   -   March 20, 2020

AIhub | Nello Cristianini | Can machines read minds
Many of us spend a significant portion of our day online and, in doing so, through our interactions with social media and IoT devices, leave a trail of “digital footprints” in our wake. Could this data be used by machine learning algorithms to infer psychometric information about us, including our emotions, attitudes, aptitudes, beliefs and more? A team at the University of Bristol have been finding out.

by   -   March 19, 2020
Hamid Tizhoosh
Hamid Tizhoosh in his lab at the University of Waterloo. Image: University of Waterloo.

A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis.

The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database.

by   -   March 18, 2020

Bessa-Delft-supercompressible material

Researchers at TU Delft have developed a new material using Bayesian machine learning algorithms. Using the results of their computational simulations they have fabricated two designs at different length scales that transform polymers into supercompressible metamaterials.

by   -   March 16, 2020

COMPRISE (cost-effective, multilingual, privacy-driven voice-enabled services) is a European-funded Horizon 2020 project looking into the next generation of voice interaction services. The project aims to implement a fully private-by-design methodology and tools that will reduce the cost and increase the inclusiveness of voice interaction technology.

by   -   March 10, 2020
AIhub | Horizon | Keolis autonomous shuttle
Autonomous vehicles must be well-integrated into public transport systems if they are to take off in Europe’s cities, say researchers. Image credit – Keolis

By Julianna Photopoulos

Jutting out into the sea, the industrial port area of Nordhavn in Denmark’s capital, Copenhagen, is currently being transformed into a futuristic waterfront city district made up of small islets. It’s billed as Scandinavia’s largest metropolitan development project and, when complete, will have living space for 40,000 people and workspace for another 40,000.

At the moment, Nordhavn is only served by a nearby S-train station and bus stops located near the station. There are no buses or trains running within the development area, although there are plans for an elevated metro line, and parking will be discouraged in the new neighbourhood. This is a great opportunity for autonomous vehicles (AVs) to operate as a new public transport solution




supported by: