Making Autonomous Vehicles Savvier and Safer with Deep Learning
As autonomous vehicle adoption grows, the most intelligent among them are gathering data from their computer vision cameras,LiDAR lasers, and arrays of onboard sensors.
As autonomous vehicle adoption grows, the most intelligent among them are gathering data from their computer vision cameras,LiDAR lasers, and arrays of onboard sensors.
Dr. Borne shares the history of data collection and analysis in astronomy and the evolution of cookies on the internet and explains the concept of Web3 and the future of data ownership
Lyft’s Sarah Barnes describes how citydwellers of the near future will have to rely on Autonomous, Connected, Electric and Shared transport.
IBM is recognized as an industry leader in the data, analytics, ML, and AI sectors. Yet on Jeopardy several years ago, Watson gave puzzling and incorrect responses to trivia questions. It won the tournament, yet reinforced challenges many organizations have experienced with their AI initiatives.
This article is the first in a series regarding how Sama uniquely equips its clients with a data labeling process that complies with the emerging body of AI regulation to ultimately avoid liability risks and costly rework. NTD: worth going into the importance of Digital Trust?
Here are some of the most frequently asked data labeling questions, along with recommendations for approaching your data annotation strategy holistically.
AI is often framed as something that’ll change our future, but many people aren’t aware of quite the extent to which AI currently used in society and everyday life.
From accidental Alexa purchasing to bias in recruitment, we have gathered 5 AI fails from the last few years.
When we work with companies that want to use AI in e-commerce, we notice a few common barriers in AI adoption. Here are 4 reasons e-commerce needs AI to stay ahead.
From improved shopping experiences to increased buyer’s confidence, here’s what Nike’s use of AR in e-commerce means for the retail industry.