Fichier de travail (INPUT) : ./DUMP-TEXT/1-3.txt
Encodage utilisé (INPUT) : UTF-8
Forme recherchée : (A|a)rtificial (I|i)ntelligence|(I|i)nteligencia (A|a)rtificial|(I|i)nteligencia (C|c)omputacional|(I|i)ntelligence (A|a)rtificielle|कृत्रिम बुद्धि|आर्टिफिसियल इन्टेलिजेन्स|A[[:punct:]]I[[:punct:]]|a[[:punct:]]i[[:punct:]]|I[[:punct:]]A[[:punct:]]|i[[:punct:]]a[[:punct:]]|人工智能|人工智慧
_________________________________________________________________________________________________
- Ligne n°1 : #alternate alternate alternate Artificial Intelligence Is Stuck.
Ligne n°2 : Here’s How to Move It Forward. ...- Ligne n°12 : SundayReview|Artificial Intelligence Is Stuck. Here’s How to Move It Forward.
- Ligne n°39 : Artificial Intelligence Is Stuck. Here’s How to Move It Forward.
- Ligne n°49 : Artificial Intelligence is colossally hyped these days, but the dirty
Ligne n°50 : little secret is that it still has a long, long way to go. Sure, A.I. ...
Ligne n°49 : ... Artificial Intelligence is colossally hyped these days, but the dirty- Ligne n°50 : little secret is that it still has a long, long way to go. Sure, A.I.
Ligne n°51 : systems have mastered an array of games, from chess and Go to ...- Ligne n°69 : Although the field of A.I. is exploding with microdiscoveries, progress
Ligne n°70 : toward the robustness and flexibility of human cognition remains ...
Ligne n°81 : ... object travels through the aperture of another. I challenge any robot- Ligne n°82 : to do the same. A.I. systems tend to be passive vessels, dredging
Ligne n°83 : through data in search of statistical correlations; humans are active ...- Ligne n°89 : To get computers to think like humans, we need a new A.I. paradigm, one
Ligne n°90 : that places “top down” and “bottom up” knowledge on equal footing. ...
Ligne n°135 : ... works. Integrating that sort of knowledge of the world may be the next- Ligne n°136 : great hurdle in A.I., a prerequisite to grander projects like using
Ligne n°137 : A.I. to advance medicine and scientific understanding. ...
Ligne n°136 : ... great hurdle in A.I., a prerequisite to grander projects like using- Ligne n°137 : A.I. to advance medicine and scientific understanding.
Ligne n°138 : Continue reading the main story ...
Ligne n°143 : ... I fear, however, that neither of our two current approaches to funding- Ligne n°144 : A.I. research — small research labs in the academy and significantly
Ligne n°145 : larger labs in private industry — is poised to succeed. I say this as ...
Ligne n°145 : ... larger labs in private industry — is poised to succeed. I say this as- Ligne n°146 : someone who has experience with both models, having worked on A.I. both
Ligne n°147 : as an academic researcher and as the founder of a start-up company, ...
Ligne n°175 : ... share their results with the world, rather than restricting them to a- Ligne n°176 : single country or corporation. Even the largest “open” efforts at A.I.,
Ligne n°177 : like OpenAI, which has about 50 staff members and is sponsored in part ...- Ligne n°180 : An international A.I. mission focused on teaching machines to read
Ligne n°181 : could genuinely change the world for the better — the more so if it ...
Ligne n°181 : ... could genuinely change the world for the better — the more so if it- Ligne n°182 : made A.I. a public good, rather than the property of a privileged few.
Ligne n°190 : ... A version of this op-ed appears in print on July 30, 2017, on Page SR6- Ligne n°191 : of the New York edition with the headline: A.I. Is Stuck. Let’s Unstick
Ligne n°192 : It. Today's Paper|Subscribe ...