Launching My Podcast!

Buy Clotilde’s latest book, The French Market Cookbook!

Today is a big day for me, and I can feel the excitement coursing from my head to my toes: I am launching a podcast!
I’m full of surprises, so it’s in French, it is called Change ma vie : Outils pour l’esprit, and it is a fresh and modern take on personal development, managing your mind, and feeling amazing.
This is a side project that I will be running in addition to Chocolate

More than 1,000 people gathered in protest outside NFL headquarters Supporters claim quarterback is being blackballed by the league’s ownersNAACP has called for meeting with NFL to discuss Kaepernick’s futureKaepernick, activism and politics. The NFL doesn’t know how to stop this rowSupporters of former San Francisco 49ers quarterback Colin Kaepernick, who refused to stand for the national anthem to protest police brutality against blacks, showed their solidarity with him and his cause at a rally outside National Football League headquarters on Wednesday, demanding that he be signed by the start of the regular season next month.More than 1,000 people, many wearing jerseys bearing Kaepernick’s name, crowded the steps outside the NFL’s midtown Manhattan offices. Continue reading…

Source: http://bppro.link/?c=Rbx

Offering a stable start-up environment and support for energy, food and agricultural businesses – could the East Anglian city be right for your start-up?…In Where to start a business

Source: http://bppro.link/?c=QH9

We introduce a new test of how well language models capture meaning in
children’s books. Unlike standard language modelling benchmarks, it
distinguishes the task of predicting syntactic function words from that of
predicting lower-frequency words, which carry greater semantic content. We
compare a range of state-of-the-art models, each with a different way of
encoding what has been previously read. We show that models which store
explicit representations of long-term contexts outperform state-of-the-art
neural language models at predicting semantic content words, although this
advantage is not observed for syntactic function words. Interestingly, we find
that the amount of text encoded in a single memory representation is highly
influential to the performance: there is a sweet-spot, not too big and not too
small, between single words and full sentences that allows the most meaningful
information in a text to be effectively retained and recalled. Further, the
attention over such window-based memories can be trained effectively through
self-supervision. We then assess the generality of this principle by applying
it to the CNN QA benchmark, which involves identifying named entities in
paraphrased summaries of news articles, and achieve state-of-the-art
performance.

Source: http://bppro.link/?c=QWy