December 26, 2019

161 words 1 min read

Deep learning to fight cancer: Fireside chat

Deep learning to fight cancer: Fireside chat

Abu Qaders personal experience is a testament to the increasing impact and accessibility of AI technology. As a high school student, he taught himself machine learning using open online resources and launched an AI company for breast cancer diagnostics. Peter Norvig sits down with Abu to share anecdotes, discuss the state of artificial intelligence, and explore where things are heading.
Talk Title Deep learning to fight cancer: Fireside chat
Speakers Peter Norvig (Google), Abu Qader (GliaLab)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location San Francisco, California
Date September 18-20, 2017
URL Talk Page
Slides
Video Talk Video

Abu Qader’s personal experience is a testament to the increasing impact and accessibility of AI technology. As a high school student, he taught himself machine learning using open online resources and launched an AI company for breast cancer diagnostics. Peter Norvig sits down with Abu to share anecdotes, discuss the state of artificial intelligence, and explore where things are heading.

intelligence intel ai deep learning machine learning school artificial intelligence
comments powered by Disqus
How Amy, an artificial intelligence capable of scheduling meetings, understands human intents

How Amy, an artificial intelligence capable of scheduling meetings, understands human intents

December 18, 2019

Rakesh Chada introduces x.ai's Amy, an AI assistant that schedules meetings via email. Rakesh discusses Amy's architecture and the various challenges the team faced during its design and shares several machine learning approaches for intent classification. Rakesh concludes by exploring a novel method for error optimization in a conversational agent that exploits customer error tolerance.
Accelerate analytics and AI innovations with Intel (sponsored by Intel)

Accelerate analytics and AI innovations with Intel (sponsored by Intel)

December 5, 2019

Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
Ensuring smarter-than-human intelligence has a positive outcome.

Ensuring smarter-than-human intelligence has a positive outcome.

December 26, 2019

The field of artificial intelligence has made major strides in recent years, but there is a growing movement to consider the implications of machines that can rival humans in general problem-solving abilities. Nate Soares outlines the underresearched fundamental technical obstacles to building AI that can reliably learn to be "aligned" with human values.
Humans in the loop: Jupyter notebooks as a frontend for AI pipelines at scale

Humans in the loop: Jupyter notebooks as a frontend for AI pipelines at scale

December 22, 2019

Paco Nathan reviews use cases where Jupyter provides a frontend to AI as the means for keeping humans in the loop. This process enhances the feedback loop between people and machines, and the end result is that a smaller group of people can handle a wider range of responsibilities for building and maintaining a complex system of automation.
Fighting financial fraud at Danske Bank with artificial intelligence

Fighting financial fraud at Danske Bank with artificial intelligence

December 19, 2019

Fraud in banking is an arms race with criminals using machine learning to improve their attack effectiveness. Ron Bodkin and Nadeem Gulzar explore how Danske Bank uses deep learning for better fraud detection, covering model effectiveness, TensorFlow versus boosted decision trees, operational considerations in training and deploying models, and lessons learned along the way.
The AI-powered newsroom

The AI-powered newsroom

December 17, 2019

The promise of AI in the newsroom is contradictory: NLG revolutionizes news writing, but robot journalists threaten jobs; NLP improves fact-checking but requires investments that slimmed-down newsrooms cannot afford. Drawing on Norwegian AI startup Orbits experience, Codruta Gamulea explains how AI can help solve the industry resource constraints and improve the quality of journalism.