Ke 31.10.2018 – AI teemalla – How to apply AI such that time or investments are not lost
Keskiviikkona 31.10.2018, klo 8:20 – 12Paikka: Aalto Auditorio, Sähkötalo, Runeberginkatu 1, Helsinki – karttalinkki – Aalto-auditorio on heti Kampin metroaseman vieressä Sähkötalon alakerrassa.
Ohjelma – Nyt on muuten hieno tapahtuma!
8:20 – Sisään klo 8:20 alkaen – tarjoilut täsmennetään vielä 🙂
8:45 – Tervetuloa! – Petri Hakanen, TDWI Finlandin puheenjohtaja
8:50 – Tarry Singh – How to apply breakthrough research in AI to advance your business
Advancements in Deep Learning seem almost unstoppable and research is the only way to make true improvements. Industries and corporate enterprises have always been the last to adopt new technologies and they are normally too late. Also the expansion and explosion of new types of data and taxonomies can confuse traditional enterprises.
Having worked in at the intersection of academia and business, Tarry realised that this is a problem that will only exacerbate as new terminologies in machine- and deep learning continue to overwhelm both experienced as well novices alike.
So how to solve this problem? How to understand which research trend to follow and which not to? How to apply AI such that not much time or investments are lost as is the case with almost 80% enterprises today?
On the research side, Tarry and his team in deepkapha.ai are working relentlessly to write meaningful research pertaining to AI trends that are meaningful and applicable to AI. Architectures such as Capsule Networks, automated switching functions, activation functions and learning rates.
Here in this lecture, we will briefly touch how research is transforming the field of AI and finally reveal two papers namely, Neuroscience and impact of Deep Learning and ARiA, a novel new NN activation function that has already proven its dominance over ReLU and Sigmoid.
On the applied AI side, Tarry will explain how their new function is already being used in practical industries such as healthcare, manufacturing and more. Tarry with his team will be soon releasing their first toolkit into open sources so AI and deep learning enthusiasts can play and apply this in their own custom-built neural network infrastructures.
– kahvitauot esitykseen sovitellen –
Tapahtuma päättyy klo 12 mennessä
Tarry Singh
Tarry is an industry-acknowledged Deep Learning Executive with over 17 years of experience setting up data analytics divisions for F500 multinationals. He is currently a mentor at Courser’a DeepLearning Specialization working with Andrew Ng, the world’s leading figure in Artificial Intelligence. Expected learners to be trained is around 1.5 million already by end 2018 via a MOOC program. This training was ranked #2 in the world out of 8000 trainings, according to the Inc. Magazine.
He is also an AI and Neuroscience Researcher who works and seeks guidance from world’s leading figures in deep learning industry such as Dr. Naftali Tishby, Geoff Hinton ands also Aalto University, to name a few whose advice he is seeking for research and his upcoming book on Deep Learning & AI.
Tarry works closely with Google’s Core TensorFlow team lead in San Francisco to deliver TensorFlow tutorials for various enterprises across the globe.
He is currently also writing a practical AI / Deep Learning book which is solely aimed to bridge the gap between business and technology by introducing meaningful projects so enterprises can finally move beyond grappling with the currently exploding world of Deep Learning and AI.
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Tervetuloa!
Petri Hakanen, puheenjohtaja