Addressing issues in bias is as pertinent as the overall quality of the AI datasets.
washingtonpost.com/technolog…
"The idea that artificial intelligence could lead to the extinction of humanity is a lie being promulgated by big tech...." - Andrew Ng.
afr.com/technology/google-br…
The efficacy of any machine learning (ML) algorithm is largely dependent on the quality of the training data.
#tikadata #fuelingaiage
fortune-com.cdn.ampproject.o…
Tika Data retweeted
A ML startup, @TikaData, was founded by an Oxford PHD. Employing 25 women here and planning to double within 6 months.
These women told me that it is life changing for them. Their parents, husbands, and inlaws now show them tremendous respect and they earn twice what others do – at Nizamabad, India
Tika Data retweeted
GoTS to set up Data Annotation Cluster to lead in the market expected to reach $7 Bn by 2030. As a first, 3 rural centres to be set up in Nizamabad district under MoU with @TikaData.
@jayesh_ranjan @ramadevi_lanka @VijayRangineni @KonathamDileep @AiTelangana
An important validation on the centricity of data in AI (after all).
forbes.com/sites/gilpress/20…
Human centric tech is essential for keep AI in check.
weforum.org/agenda/2021/06/h…
Tika Data retweeted
Power Up Your Visual AI with Synthetic Data 👊 We loved hearing from James Fort from @unity3d at the AI in Retail & Marketing Summit back in April. You can watch his presentation here incase you missed it! buff.ly/3bV31h4
Tika Data retweeted
State-of-the-Art Image Generative Models bit.ly/3ubEQl2
#AI #DeepLearning #MachineLearning #DataScience
Tika Data retweeted
The study is based on interviews with startups like @iMeritDigital, @TikaData, @VernacularAI, @IndiVillage, @SquadStackTeam (Classify IT), Task Monk, Navana Tech and Granular AI to understand the evolving data labelling space in India through the lens of private entities.
We have been featured by NASSCOM in their report on the Indian data annotation industry.
linkedin.com/feed/update/urn…
Tika Data retweeted
Our research team is using graph neural networks to predict the olfactory properties of molecules, expanding our understanding of smell & odor, with potential applications ranging from odorant synthesis to scent digitization. Learn more at goo.gle/2BvfUM6