Yann LeCun gave a recent series of 8 lectures on deep learning at Collège de France in Paris.
Resolved true The record shows it happened or was so.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
True if Collège de France records show that LeCun gave a series of 8 lectures on deep learning there shortly before 2016-07-28 (in the 2015–2016 academic year, as holder of the Chaire annuelle Informatique et sciences numériques). Mostly true if he gave the series but the count differs slightly (for example, 7 or 9 sessions, or 8 plus an inaugural lecture). Mostly false if the lectures were given years earlier, or the count is far off. False if he gave no such lecture series at Collège de France.
Set before the research began.
Evidence (4)
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E1 Yann LECUN : (Informatique et sciences numériques, Professeur invité au Collège de France) Collège de France
“12 février 2016(cid:22): Pourquoi l’apprentissage profond(cid:22)? 19 février 2016(cid:22): Réseaux multi-couches et rétropropagation du gradient. 26 février 2016(cid:22): L’apprentissage profond en pratique. 4 mars 2016(cid:22): Réseaux convolutifs.”
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E2 Yann LECUN : (Informatique et sciences numériques, Professeur invité au Collège de France) Collège de France
“25 mars 2016(cid:22): Réseaux convolutifs. Applications à la vision. 1er avril 2016(cid:22): Réseaux récurrents. Applications au traitement du langage naturel. 8 avril 2016(cid:22): Raisonnement, attention, mémoire. 15 avril 2016(cid:22): Apprentissage non-supervisé.”
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E3 12 février Collège de France
“Cours, les vendredis à 11h, suivis à 12h du séminaire”
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E4 Deep learning », une révolution en Intelligence artificielle Collège de France (press kit) · February 2016
“est nommé professeur invité sur la Chaire Informatique et sciences numériques”
Reasoning
The Collège de France programme for Yann LeCun as visiting professor in Informatique et sciences numériques lists eight dated course sessions on deep learning. Four appear in E1 (12 Feb to 4 Mar 2016) and four in E2 (25 Mar to 15 Apr 2016). E3 says the courses were held on Fridays, and E4 records his appointment as visiting professor on the Informatique et sciences numériques chair in 2016. Together this matches the criteria for "true": a series of 8 deep-learning lectures given in the 2015–2016 academic year, a few months before the claim on 2016-07-28.
Cite this claim
Yann LeCun, “Yann LeCun gave a recent series of 8 lectures on deep learning at Collège de France in Paris.” (said 28 July 2016). Verdict: resolved true. Reliability API, claim c_b97a2b230e78, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_b97a2b230e78
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Yann LeCun
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Resolved true
““It’s AI for the physical world, so it’s not language-related,” LeCun said.”
AMI Labs' work is AI for the physical world and is not language-related.
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Resolved true
““It’s systems that understand the real world, like a manufacturing plant or turbojet engine.””
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Mostly true
“Full house for my lecture hosted by the Center of Mathematical Sciences and Applications at Harvard yesterday.”
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Resolved true
“Max is a professor at MIT. His job, like mine, is to increase the intelligence of students and other humans.”
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Resolved false
““Those agents are doing exactly what they’ve been asked to do,” LeCun said.”
Verdicts are made automatically; how verdicts are made.