- From: Dave Raggett <dsr@w3.org>
- Date: Tue, 10 Nov 2020 10:28:13 +0000
- To: paoladimaio10@googlemail.com
- Cc: public-cogai <public-cogai@w3.org>
- Message-Id: <363B3AD9-78CC-47AA-B167-89C3095140DF@w3.org>
Thanks for the feedback - I couldn't find any courses specifically on Cognitive AI, although there are plenty of courses on Cognitive Science and its associated disciplines. However this also points to the need to relate the work presented in the CG to the use of the term Cognitive AI more generally and to the related term Cognitive Computing. I’ve now added a this to the FAQ. Wikipedia defines Cognitive Computing as: “technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.” https://en.wikipedia.org/wiki/Cognitive_computing I came across some blog posts, e.g. Sayantini on edureka.co: “A Cognitive computer or system learn at scale, reasons with purpose and interacts with humans naturally. Rather than being explicitly programmed, these systems learn and reason from their interactions with human beings and their experiences with their environment. Cognitive computing overlaps with Artificial Intelligence and involves similar technologies to power cognitive applications.” https://www.edureka.co/blog/cognitive-ai/#:~:text=Cognitive%20Computing-,Artificial%20Intelligence,find%20solutions%20to%20complex%20problems. Beyond Limits staff wrote the following: “The cognitive AI breakthrough: Real human-like reasoning in business AI solutions: Conventional, data-crunching artificial intelligence, which is the foundation of deep learning, isn’t enough on its own; the human-like reasoning of symbolic artificial intelligence is fascinating, but on its own, it isn’t enough either. The unique hybrid combination of the two — numeric data analytics techniques that include statistical analysis, modeling, and machine learning, plus the explainability (and transparency) of symbolic artificial intelligence — is now termed “cognitive AI.” It’s an extraordinary breakthrough to have the ability to implement a human-like ability to perceive, understand, correlate, learn, teach, reason, and solve problems faster than existing AI solutions.” https://venturebeat.com/2019/10/14/the-cognitive-ai-breakthrough-real-human-like-reasoning-in-business-ai-solutions/ In a linked post they write that “Deep learning is the point at which conventional AI stops; but that’s exactly where the cognitive AI layer begins.” I am not sure exactly what they mean by that, but the associated diagram shows cognitive reasoning using symbolic AI as a layer above deep learning and inference. They briefly report on work done for NASA’s Opportunity Rover mission to Mars. http://stories.venturebeat.com/beyond-conventional-ai-more-intelligent-more-explainable-ai/ These blog posts are high level, lacking technical details and don’t credit the cognitive sciences, but nonetheless consistent with what I have written. > On 10 Nov 2020, at 02:38, Paola Di Maio <paola.dimaio@gmail.com> wrote: > > Dave > thanks for the opportunity comment on the FAQ I opened the page but have not read yet > My brief attention fell on the question is there a course and the answer is sadly not yet > But there are many many graduate courses in cognitive ai, perhaps not reflecting the contant of your > page completely but still there are many > thats all my feedback for the moment :-) > > On Mon, Nov 9, 2020 at 11:52 PM Dave Raggett <dsr@w3.org <mailto:dsr@w3.org>> wrote: > Your comments are welcomed on the updated FAQ for Cognitive AI along with suggestions for further questions. > > You can find the FAQ at: > > https://github.com/w3c/cogai/blob/master/faq.md <https://github.com/w3c/cogai/blob/master/faq.md> > Dave Raggett <dsr@w3.org <mailto:dsr@w3.org>> http://www.w3.org/People/Raggett <http://www.w3.org/People/Raggett> > W3C Data Activity Lead & W3C champion for the Web of things > > > > Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett W3C Data Activity Lead & W3C champion for the Web of things
Received on Tuesday, 10 November 2020 10:28:18 UTC