The Big Picture

• The core of AI is people (The Globe & Mail)
• What Amazon teaches us about AI and the “jobless future” (O’Reilly)
• Human-level AI is right around the corner—or 100 yrs away (IEEE Spectrum)
• How to prepare the next-gen for jobs in the AI economy (HBR)
• The race for AI – China vs USA (NY Times)
• The AI chips race – Google vs NVIDIA (Forbes)
• Guide to working on AI policy and strategy (Miles Brundage – 80,000 Hours)

Featured: DeepLearni.ng Insights & Talks

• How to deploy deep learning in enterprise (Part 2) – Reflects on the successful outcomes that emerged from our deployment of the first deep learning model for one of the world’s largest retail banks.
• Our CTO, Victor Anjos, will be speaking at Big Data Toronto on June 21st at 10:30. Victor’s talk will reveal why enterprises need to partner to optimize the deployment of deep learning and also focus on our forthcoming platform Frontiers. Admission to the conference is free and will be full of insights on navigating data complexity.
• Our co-founder and co-CEO Eric Lee will give a talk on June 23 at the Global Risk Institute’s Global Risk Institute’s, The Future of Banking and Financial Servicesconference. Focussing on deep learning’s impactful potential for finance, Eric will explore how this industry can help democratize AI and the resources needed for successful deployment.
• Our co-founder and co-CEO Stephen Piron will present a talk on the unique challenges and potential enterprises encounter when deploying deep learning models at OpenText’s Enterprise World conference on July 13th. The conference features an exciting variety of TED-style presentations and we’re excited to be presenting.

Machine Learning In Industry

• Report: How AI can deliver real value to companies (McKinsey)
• If your company isn’t good at analytics, it’s not ready for AI (HBR)
• Why Apple is struggling to become an AI powerhouse (Washington Post)
• ML is driving GE’s digital transformation (Forbes)
• AI’s profound impact at Airbnb (VentureBeat)
• AI and the future of work (Future of Life Institute)

Machine Learning Research

• The challenge of successfully verifying and testing ML (Cleverhans)
• Helpful cheatsheet for DL/ML engineers (Medium)
• DeepMind teaches AI to reason about the world (New Scientist)
• Object detection TensorFlow API is made available (Google)
• Training AI to negotiate (FAIR)

Engaging research papers we’ve been digesting this month:

• Latent attention networks
• Self-normalizing neural networks
• Axiomatic attribution for deep networks
• Attention is all you need
• Depthwise separable convolutions for neural machine translation
• Co-Fusion: Real-time segmentation, tracking and fusion of multiple objects

Machine Learning Monetized

• SoftBank takes $4B in NVIDIA (Bloomberg)
• Element AI raises $102M to expand AI incubator (VentureBeat)
• Conviva raises $40M for AI video analytics (TechCrunch)
• Bowery raises $20M to build ML vertical farms (Inc.)
• Snapsheet raises $12M for ML car insurance claims (TechCrunch)
• Highspot raises $15M for AI optimized sales pitches (TechCrunch)