What AI for Human Language Can Do for You

March 5th event in Tel Aviv showcases the future of AI for human language

Could a doctor’s assistant be an AI-powered bot in five years? 

Expert practitioners, researchers, and industry leaders in the AI domain converge on Tel Aviv on March 5, 2020 for a day packed with 50 talks that range from the technical matter of how to make deep learning models less computationally intensive to real-life examples of how AI is fighting financial crime all the way to science fiction-like proposals.

This single-day event brings together minds from academia and industry, including Google, Amazon, Intel, eBay and innovative specialists like Basis Technology, Natural Intelligence, NICE, and Zebra Medical Vision.

Participants can pick and choose from talks in four areas: 

• Conversational AI: everything about bots and human-bot interactions
• Deep Learning: new applications and the technical ins and outs of this new area of machine learning 
• Case Studies: stories of real-life problems being solved by AI
• Research: the latest ideas coming out of university research that may power future case studies

AI Wants To Be Human: Conversational AI 

Hear from GE Healthcare about how unsupervised machine translation may boost chatbot performance. A new approach using existing agent-consumer conversations to help chatbots figure out the intent of the user is helping chatbots to overcome existing failures and empower bot builders. Or, attend a broad survey of the “emotion AI” field, that is,  AI that automates the detection and understanding of sentiment, opinion, and emotion in text, speech, and images. Speaker affiliations include Google, Chorus.ai, voca.ai, and Alta Plana.

Deep Learning Solving the Previously Unsolvable

Not enough data to train a model? Are deep learning models too computationally heavy? Are internal auditors laboring under complex, subject-matter specific documents in multiple languages? Talks in the Deep Learning track propose answers to these previously considered intractable problems, with speakers from Intel, IBM Research AI, AuditMap.ai and others.

A Peek Into the Future: Research

The research track has a wide variety of talks ranging from prototypes already accomplishing useful tasks like the IBM Science Summarizer that helps researchers keep abreast of scientific papers through auto-generated summaries or a method to categorize items with short and noisy descriptions using proxy embeddings. Other talks give us a glimpse into possible future breakthroughs, such as how NLP can be applied to psychotherapy by analyzing client and therapist exchanges over time to look for textual markers that indicate distress or levels of well-being. Speakers represent Bar-Ilan University, Tel Aviv University, IBM, NASA, MIT Media Lab, and Basis Technology.

Results From the Field

Finally, the Case Studies track presents real-life examples of how AI for human language is being successfully applied in a wide-range of domains. How does eBay decide which are the real keywords in the listing title of an item by using users’ purchase intent data? How is AI being used to protect borders and fight financial crime? At  Rambam Health Care Campus, how are pathological reports on malignancies helping to improve early detection and diagnosis or evaluate intervention programs? 

This event is an opportunity to network with and hear directly from experts and practitioners about what AI is making possible today. Register for the early bird discount by January 31 at https://www.ai4humanlanguage.com/.