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by   -   April 2, 2020

AI online courses

Given the current circumstances worldwide, this month we have selected tweets about some interesting resources, reads, and free online classes that you can take while staying at home. Stay safe!

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 27, 2020

The Age of AI

The YouTube originals series “The Age of A.I.” was released in December 2019. If you haven’t already seen it now could be a good time to catch up – with much of the world in enforced or voluntary isolation many of us will be stuck at home with hours to fill. Sit back and marvel at the many incredible, and often heart-warming, applications of AI.

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 23, 2020
Human-machine interactions UNSW
Human-machine interaction at UNSW

By Lachlan Gilbert

One of the holy grails in the development of artificial intelligence (AI) is giving machines the ability to predict intent when interacting with humans.

We humans do it all the time and without even being aware of it: we observe, we listen, we use our past experience to reason about what someone is doing, why they are doing it to come up with a prediction about what they will do next.

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 17, 2020

CORD-19 dataset

On 16 March the COVID-19 Open Research Dataset (CORD-19) was released. This comprises an open-source, machine-readable collection of scholarly literature covering COVID-19, SARS-CoV-2, and the Coronavirus group. This free resource contains over 29,000 relevant scholarly articles, including over 13,000 with full text.

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 13, 2020

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation. This edition focusses on the state of the AI research landscape amid claims from some quarters that we are on the cusp of another “AI winter”. Our seven experts discuss the historical context to these claims, their feelings about the position of AI research now, and their expectations for the near future.

by   -   March 12, 2020

The outbreak of COVID-19 has seen disruption and cancellation of a number of scientific conferences. One of the biggest casualties was the APS March meeting, the world’s largest physics conference, with organisers making the difficult decision to call the event off less than 36 hours before the scientific sessions were due to start. Elsewhere, the ICLR (International Conference on Learning Representations), scheduled for April, has made the decision to go fully virtual. Could the trial of online solutions, albeit under unfortunate circumstances, herald the start of a new conference era?


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