NOVA Math
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[SAL] Why does Deep Learning work so well? | Atle Hahn (NOVA Math)
13 May 2024 2:00 pm – 3:00 pm
Seminar Room, building VIIDeep Neural Networks are at the heart of most recent breakthroughs in Artificial Intelligence. However, not so long ago most AI experts had a rather low opinion about them. For example, Vladimir Vapnik, the founder of the field of "Statistical Learning Theory", predicted in 1995 that by 2005 no one would use neural networks any more.
What was it about neural networks that most experts overlooked at that time? In my talk I will try to answer this question.
The talk is directed to a general audience. No prior knowledge of Machine Learning is required.
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Who are we?
NOVA Math‘s focus is on cutting edge research, in both pure and applied mathematics, valuing the use of mathematics in the solution of real-world problems at the industrial level and of social relevance.
Research Groups
Thematic Lines
One of the main strategies developed by NOVA Math is to promote the exchange of knowledge with other sciences. It is important to engage with the users of mathematics, given them the support for their research on one hand, and on another hand, to direct mathematical researchers that seek real-life problems.
Funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the following projects:
UIDB/00297/2020, UIDP/00297/2020, UID/MAT/00297/2019, UID/MAT/00297/2013, PEst-OE/MAT/UI0297/2014, PEst-OE/MAT/UI0297/2011.
