Startup Focus: Sea Machines Winning Contracts for Autonomous Marine Systems from AI Trends
By AI Trends Staff
The ability to add automation to an existing marine vessel to make it autonomous is here today and is being proven...
PINT (Paper IN Two mins) – Making Neural Network Architectures generalize via Recursion
This is a quick summary of the research paper titled Making Neural Programming Architectures Generalize via Recursion by Jonathon Cai, Richard Shin, Dawn Song...
A mid-autumn Shopper’s dream – What an Amazon fulfilled Thanksgiving would look like
I’d been preparing for Thanksgiving a good 3 weeks in advance. One reason is that I’d recently rented out a new apartment and the...
Toward Safe AI – Maximizing your control over Artificial Intelligence
Last Sunday I was watching one of my favorite television shows, Splitsvilla, when a thought suddenly crossed my mind - What if Artificial Intelligence...
Yoshua Bengio et al on Twin Networks
The paper “Twin Networks: Matching the Future for Sequence Generation”, is written by Yoshua Bengio in collaboration with Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro...
Cyber Monday Special: Can Walmart beat Amazon in its own game? Probably, if they...
Long gone are the days when people would go out exploring one store to another, to buy that beautiful pink dress or a particular pair...
Breaking AI Workflow Into Stages Reveals Investment Opportunities from AI Trends
By John P. Desmond, AI Trends Editor
An infrastructure–first approach to AI investing has the potential to yield greater returns with a lower risk profile, suggests...
Update: Pandemic Driving More AI Business; Researchers Fighting Fraud ‘Cure’ Posts from AI Trends
By AI Trends Staff
The impact of the coronavirus pandemic around AI has many shades, from driving higher rates of IT spending on AI, to...
Why Drive.ai is going to struggle to disrupt public transport
Drive.ai has announced that it is to begin trialling a self-driving car taxi service in Frisco, Texas this Summer. The trial is to last...
FAT* 2018 Conference Session 5 Summary on FAT Recommenders, Etc.
This session of FAT 2018 is about Recommenders, etc. Recommender systems are algorithmic tools for identifying items of interest to users. They are usually...