#machinelearning

https://www.afnic.fr/medias/images/recrutement/ingenieurRD-branded-web.jpg

Nous recrutons un(e) ingénieur R&D Labs (H/F) en #CDI ▻https://www.afnic.fr/fr/l-afnic-en-bref/recrutement/offres-d-emploi/ingenieur-r-d-labs-h-f-cdi-6.html #Afnic #Recrutement #Offre #emploi #Jobs #DNS #IPv6 #GitLab #MachineLearning

Why You Should Do NLP Beyond English (▻https://ruder.io/nlp-beyond-e...
▻https://diasp.eu/p/11441987

Why You Should Do NLP Beyond English | #artificialintelligence #cognition #culture #diversity #english #language #linguistic #machinelearning #nlp #norm #sociology

The cost to train an AI system is improving at 50x the pace of Moor...
▻https://diasp.eu/p/11313603

The cost to train an AI system is improving at 50x the pace of Moore’s Law | #AI #artificialintelligence #deeplearning #machinelearning #training

The Death of Data Scientists - Towards Data Science (▻https://toward...
▻https://diasp.eu/p/10482420

The Death of Data Scientists - Towards Data Science | #automl #datascience #machinelearning

AI learns the language of chemistry to predict how to make medicine...
▻https://diasp.eu/p/9716465

AI learns the language of chemistry to predict how to make medicines | #chemical #chemistry #machinelearning #MolecularTransformer #predction #reaction #retrosynthesis

Verlorene Sprache „Linearschrift B“ mit Maschinenlernen entschlüsse...
▻https://diasp.eu/p/9345004

Verlorene Sprache „Linearschrift B“ mit Maschinenlernen entschlüsselt ▻https://www.heise.de/newsticker/meldung/Verlorene-Sprache-Linearschrift-B-mittels-Maschinenlernen-entschluesselt-44641 #MachineLearning #Maschinenübersetzung #Schriften #Sprache

Machine Learning In The Judicial System Is Mostly Just Hype (https:...
▻https://diasp.eu/p/8807412

Machine Learning In The Judicial System Is Mostly Just Hype | #hype #justice #machinelearning

Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
▻https://www.youtube.com/watch?v=ajGX7odA87k

The Assumptions of Technological Manifest Destiny
1) Technology is VALUE-NEUTRAL, and will therefore automatically lead to good outcomes for everyone.
2) Thus, new kinds of technology should be deployed as quickly as possible, even if we lack a general idea of how the technology works, or what the societal impact will be.
3) History is generally uninteresting, because the past has nothing to teach us.

#machineLearning #security #iot

Millennials can’t catch a break (▻http://www.neuralmarkettrends.com...
▻https://diasp.eu/p/6964036

Millennials can’t catch a break

This is just nuts. Millennials just can’t seem to catch a break. Now AI is coming for their jobs. Research released by Gallup on Thursday indicates a collision between technology and “business as usual” is coming soon, and the fallout will be[...]

#DataScience #MachineLearning #ai #entrepreneurship #millennials Originally posted at: ▻http://www.neuralmarkettrends.com/millennials-cant-catch-break

The Trouble with Bias - Kate Crawford - NIPS 2017 (50mn)
▻https://www.youtube.com/watch?v=6Uao14eIyGc&t=3m46s

Great talk about #bias, #fairness and #responsibility in #machineLearning

(and thanks to whoever put those NIPS talks somewhere else than Facebook)

“Good morning” considered dangerous
▻http://languagelog.ldc.upenn.edu/nll/?p=35108
“Israel Arrests Palestinian Because Facebook Translated ’Good Morning’ to ’Attack Them’”

The Israel Police mistakenly arrested a Palestinian worker last week because they relied on automatic translation software to translate a post he wrote on his Facebook page. The Palestinian was arrested after writing “good morning,” which was misinterpreted; no Arabic-speaking police officer read the post before the man’s arrest. […]

The automatic translation service offered by Facebook uses its own proprietary algorithms. It translated “good morning” as “attack them” in Hebrew and “hurt them” in English

#machineLearning #ai #computerSaysNo

Artificial Intelligence at Any Cost Is a Recipe for Tyranny

But we shouldn’t just be concerned about “false positives.” If we worry only about how error-prone these systems are, then more accurate surveillance systems will be seen as the solution to the problem.

▻https://www.aclu.org/blog/privacy-technology/surveillance-technologies/artificial-intelligence-any-cost-recipe-tyranny

Mentionné (vers la 21ème minute) sur « Les chiens de Garde », le podcast de ▻https://crypto.quebec
#machineLearning #ethics #podcast #netsec

The age of the algorithm
An episode of 99 percent invisible about how the uncritical acceptance and design of algorithms can have terrible consequences. With Cathy O’Neil. 23mn.

And many companies that build and market these algorithms like to talk about how objective they are, claiming they remove human error and bias from complex decision-making.

But in reality, every algorithm reflects the choices of its human designer.

▻http://99percentinvisible.org/episode/the-age-of-the-algorithm

#podcast #machineLearning #ethics #oss

Künstliche Intelligenz: Google bringt eine Machine-Learning-Bibliot...
▻https://diasp.eu/p/5913618

Künstliche Intelligenz: Google bringt eine Machine-Learning-Bibliothek für das Web ▻https://www.heise.de/developer/meldung/Kuenstliche-Intelligenz-Google-bringt-eine-Machine-Learning-Bibliothek-fuer-da #JavaScript #KünstlicheIntelligenz #MachineLearning #TypeScript

Le problème des #jeux sérieux est résolu - Technology Review
▻http://www.technologyreview.com/view/525061/the-problem-with-serious-games-solved

Si les jeux sérieux sont de plus en plus populaire, leur problème est de générer de nouveaux scénarios réalistes. Des chercheurs tentent de résoudre ce problème en générant des scénarios réalistes via des questions posées à des utilisateurs du Turk Mécanique d’Amazon. Tags : internetactu fing internetactu2net #jeuxserieux jeux #machinelearning