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GTC ON-DEMAND

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Abstract:
We'll provide detailed look at how AI innovation is impacting logistics, with in-depth case studies such as loading packages in containers. To make decisions, companies rely on classical algorithms that search for an acceptable solution in a large space. These algorithms rely on arbitrary heuristics to simplify the search space. We'll discuss a novel method that improves performance by removing the need for such human-made simplifications. Our GPU-Powered approach is driven by first principles and constant learning,. We'll explain it in an intuitive, step-by-step manner, and describe how firms can take advantage of these developments to capture efficiency gains and increase their competitiveness.
We'll provide detailed look at how AI innovation is impacting logistics, with in-depth case studies such as loading packages in containers. To make decisions, companies rely on classical algorithms that search for an acceptable solution in a large space. These algorithms rely on arbitrary heuristics to simplify the search space. We'll discuss a novel method that improves performance by removing the need for such human-made simplifications. Our GPU-Powered approach is driven by first principles and constant learning,. We'll explain it in an intuitive, step-by-step manner, and describe how firms can take advantage of these developments to capture efficiency gains and increase their competitiveness.  Back
 
Topics:
Inventory, Supply Chain & Logistics, Advanced AI Learning Techniques, Performance Optimization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9865
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Abstract:

In this talk, you will get a detailed yet accessible look at how AI is disrupting logistics. Firms have for years been using classical optimization algorithms to make decisions such as how to deliver goods to multiple clients in a city, place packages in a warehouse or route orders. Such algorithms are often built on heuristics which experts have designed to get reasonable solutions quickly. Recent advances in Deep Learning and Reinforcement learning are however making it possible to build AI systems that tackle these optimization problems from scratch. Through constant learning, a modern AI system can match and even beat existing optimization algorithms, or deliver faster solutions thanks to GPU parallel processing. Companies can now leverage these advances into significant efficiency gains for their operations.

In this talk, you will get a detailed yet accessible look at how AI is disrupting logistics. Firms have for years been using classical optimization algorithms to make decisions such as how to deliver goods to multiple clients in a city, place packages in a warehouse or route orders. Such algorithms are often built on heuristics which experts have designed to get reasonable solutions quickly. Recent advances in Deep Learning and Reinforcement learning are however making it possible to build AI systems that tackle these optimization problems from scratch. Through constant learning, a modern AI system can match and even beat existing optimization algorithms, or deliver faster solutions thanks to GPU parallel processing. Companies can now leverage these advances into significant efficiency gains for their operations.

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Topics:
Advanced AI Learning Techniques, Performance Optimization, AI Startup, Inventory, Supply Chain & Logistics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8432
Streaming:
Share:
 
 
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