December 11 – 5 Key Things From The Digital World

By December 11, 2019 Insight

1. Nuro’s driverless delivery robots will start serving Walmart customers in Houston

  • been making grocery deliveries in Houston with its fleet of autonomous Toyota Prius vehicles since March
  • Nuro is one of the few companies to be operating fully driverless vehicles
  • Nuro has set itself apart by focusing on food delivery rather than people moving

2. The Top 100 AI Startups Of 2019: Where Are They Now?

  • Seven startups named to the AI 100 2019 have been acquired…Autonomous driving has been a prominent theme
  • Four AI 100 2019 startups have achieved $1B+ valuations since February 2019
  • Since February, 48 AI 100 2019 startups have raised $4.9B from investors

3.  Product Zeitgeist Fit: A Cheat Code for Spotting and Building the Next Big Thing

  • people need a different motivation to try something new, something that connects with them emotionally rather than functionally
  • product zeitgeist fit (PZF): when a product resonates with the mood of the times…helps other stakeholders—media and trend watchers, big companies, other builders—spot the next big thing
  • there’s always going to be an opening for innovators and disruptors, especially in consumer tech

4. How American Express Uses Deep Learning for Better Decision Making

  • developing deep learning generative and sequential models to prevent fraudulent transactions
  • “The most strategically important use case for us is transactional fraud detection,”
  • found that sequential deep learning techniques, such as long short-term memory and temporal convolutional networks, can be adapted for transaction data to produce superior results

5. DeepMind’s Dreamer AI learns from the past to predict the future

  • reinforcement learning…is particularly well-suited to learning world models that summarize an agent’s experience, and by extension to facilitating the learning of novel behaviors
  • Dreamer — designed to internalize a world model and plan ahead to select actions by “imagining” their long-term outcomes
  • learns a latent dynamics model to predict rewards from both actions and observations