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08:00
REGISTRATION & LIGHT BREAKFAST
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09:00
WELCOME NOTE & OPENING REMARKS
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LATEST ADVANCEMENTS IN DL
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09:15
What Have We Learnt About Deep Learning in 2022?
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09:35
Self-Supervised Learning for Unstructured Data
Walid Yassine - Info & Comm Sys. Development - Airbus
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09:55
Meeting the Expected Computational Requirements for Edge Intelligence
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10:15
COFFEE BREAK
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DEEP LEARNING LANDSCAPES
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10:50
Human & Multi-Agent Collaboration
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11:10
What to Visualize for Training Reinforcement Learning Agents
Ameya Divekar - Principle Data Scientist - Michelin
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11:30
Improving Data Quality with Automated AI
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11:50
Latest Research in Deep Learning
Aleksandra Kovachev - Data Science Manager - Delivery Hero
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12:30
LUNCH
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MODEL ARCHITECTURE
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13:30
Getting the Most out of Vision Transformers
Arindam Ghosh - Data Science Team Lead Oviva -
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13:50
Implementing Real Time Anomaly Detection
Sergei Bobrovskyi - Data Scientist - Airbus
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14:10
Preparing your Data for DL
Christoph Spohr - Lead Architect - Volkswagen AG
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14:30
Finding the What and the Why with Neuro-Symbolic Learning Algorithms.
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14:50
COFFEE BREAK
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DL CONSIDERATIONS
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15:15
ExplainabIlity Considerations for AI
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15:35
Ethical, Legal & Cultural Considerations in Deep Learning
Özlem Gürses - Professor - Kings College London
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15:55
Harness the Power of Unstructured Data for Deep Learning
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16:15
Panel: What are the Deep Learning Trends you Should Be Aware of?
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17:00
NETWORKING RECEPTION
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18:00
END OF DAY ONE
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08:00
REGISTRATION & LIGHT BREAKFAST
-
09:00
WELCOME NOTE & OPENING REMARKS
-
APPLICATIONS IN DEEP LEARNING
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09:10
Finding the What and the Why with Neuro-symbolic Learning Algorithms
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09:30
Creating World Class Applications with Convolutional Neural Networks
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09:45
Smart Living
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10:05
GANs for Accuracy
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10:25
COFFEE BREAK
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11:00
NLP Case Study
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11:20
Reinforcement Learning
Nima Siboni - Team Lead Machine Learning - Max Planck Institute
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NATURAL LANGUAGE PROCESSING
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11:40
Post Pandemic NLP for a Touchless Society
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11:55
NLP for Context Awareness
Bernhard Pflugfelder - Head of Product AI - BMW
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12:15
LUNCH
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TOOLS FOR DEEP LEARNING
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13:20
Accelerating Distributed Model Training
Alisson Machado - Senior Big Data DevOps Engineer - Schaeffler
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13:40
New Research into DL
-
14:00
User Centric AI-Development
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14:20
Panel: The ROI of DL
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15:00
END OF SUMMIT