Collaborating Authors

Bletchley Park's contribution to WW2 'over-rated'

BBC News

He was given extensive access to the secret files of the intelligence agency, although some limits were placed on what he could see and write about, including more recent interceptions of other country's diplomatic messages and some of the technical secrets of code-breaking.

Artificial Intelligence- All you need to know in layman terms


We as human may have often wondered if the intelligence of human can be copied and machines can work the same way as us. While it is still a distant dream but we are not very far away. In the path to artificial intelligence lets have an overview of what it really means and how data science is helping us achieve it. A) Artificial Intelligence: It is an important science that actually helps in daily activities nowadays. The end goal of any machine learning or deep learning algorithm is achieving artificial intelligence.

Defense Official Calls Artificial Intelligence the New Oil


Artificial intelligence is the new oil, and the governments or the countries that get the best datasets will unquestionably develop the best AI, the Joint …

Legal industry ramping up adoption of artificial intelligence, says AI platform partner


After a slow start, the legal industry is beginning to ramp up the adoption of artificial intelligence, says Peter Pulikkan, a partner at SparkBeyond, …

Juniper Networks acquires Boston-area AI SD-WAN startup 128 Technology for $450M


Today, instead of having simply software-defined networking, the newer systems use artificial intelligence to help automate session and policy details …

U.S. government agencies to use AI to cull and cut outdated regulations


WASHINGTON (Reuters) - The White House Office of Management and Budget (OMB) said Friday that federal agencies will use artificial intelligence to eliminate outdated, obsolete, and inconsistent requirements across tens of thousands of pages of government regulations. A 2019 pilot project used machine learning algorithms and natural language processing at the Department of Health and Human Services. The test run found hundreds of technical errors and outdated requirements in agency rulebooks, including requests to submit materials by fax. OMB said all federal agencies are being encouraged to update regulations using AI and several agencies have already agreed to do so. Over the last four years, the number of pages in the Code of Federal Regulations has remained at about 185,000.

OpenAI releases Jukebox, a machine learning framework that generates music


OpenAI recently launched Jukebox, a model that generates music with singing in the raw audio domain. As a generative model for music, Jukebox can handle the long context of raw audio using an autoencoder. Jukebox's autoencoder processes the audio files using a multiscale VQ-VAE to compress it to discrete codes and modeling those using autoregressive Transformers. Provided with a genre, artist, and lyrics as input, Jukebox can output a new music sample produced from scratch. This is a type of innovation that expands the boundaries of generative models to a new level.

Why Deep Learning Works Even Though It Shouldn't


This is a big question, and I'm not a particularly big person. As such, these are all likely to be obvious observations to someone deep in the literature and theory. What I find however is that there are a base of unspoken intuitions that underlie expert understanding of a field, that are never directly stated in the literature, because they can't be easily proved with the rigor that the literature demands. And as a result, the insights exist only in conversation and subtext, which make them inaccessible to the casual reader. Because I have no need of rigor to post on the internet, (or even a need to be correct) I'm going to post some of those intuitions here as I understand them.