Submit a name for the IndiaAI Datasets Platform on MyGov and shape the future of AI in India! Click here to participate : https://
mygov.in/task/suggests-
name-indiaai-datasets-platform-contest/
… @GoI_MeitY @abhish18 @_DigitalIndia #IndiaAI #AIInnovation #DataDriven #MyGov #IndiaAIContest
RESEARCH
-
India Launches AI Datasets Platform Naming Contest
By
–
-

India Launches AI Datasets Platform Naming Contest Initiative
By
–
Ministry of Electronics & IT (MeitY) through IndiaAI Mission invites YOU to name the IndiaAI Datasets Platform (IDP). This platform will streamline access to vital datasets & Models for AI research & development, boosting innovation in India.
Click here: https://
mygov.in/task/suggests-
name-indiaai-datasets-platform-contest/
… -
AI Partnership Grows Talent in India Through Industry Engagement
By
–
This partnership will not only contribute to the growth of AI talent in India but will also allow industry partners to engage with promising young minds and stay at the forefront of AI innovation. Apply now:
-
Google ReCapture: Generative Video Camera Controls with Masked Fine-Tuning
By
–
Google presents ReCapture
— AK (@_akhaliq) 8 novembre 2024
Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning pic.twitter.com/5qT386e5K0Google presents ReCapture Generative Camera Controls for User-Provided Videos using Masked Fine-Tuning
-
Meta showcases latest robotics research at CoRL2024 in Munich
By
–
We're at #CoRL2024 this week in Munich presenting our latest robotics research.
— AI at Meta (@AIatMeta) 8 novembre 2024
On the ground in in Munich? We're demoing our work on Meta Sparsh & Meta Digit 360 + more at our booth.
Following from your feed? Read more about this work ➡️ https://t.co/akW8bpozon pic.twitter.com/Q1L31tHzX1We're at #CoRL2024 this week in Munich presenting our latest robotics research. On the ground in in Munich? We're demoing our work on Meta Sparsh & Meta Digit 360 + more at our booth.
Following from your feed? Read more about this work https://
go.fb.me/7kcesj -

TokenFormer: Efficient Transformer Architecture Scaling from 124M to 1.4B Parameters
By
–
TokenFormer, a new model architecture from @cvml_mpiinf and @PKU1898
, scales from 124M to 1.4B parameters by treating parameters as tokens, maintaining Transformer performance with lower cost. Talk to the team @haiyang73756134 @ferjadnaeem @xyongqin @janericlenssen @fedassa here! -

Google Prepares Gemini-2.0-Pro-Exp-0111 Launch
By
–
BREAKING : Google is preparing to launch a new model: Gemini-2.0-Pro-Exp-0111! This model will appear under the Advanced section but it is unclear if it is aimed at an internal testing group or a public launch. Any good prompts you want me to try?
-
AI Platform Development Advances Announced
By
–
New steps toward completing our AI platform – proud of the team!
-

Automatic Dataset Relationship Identification Methods Compared
By
–
With millions of datasets available on the Web, understanding the relationships between them is critical for research & decision making. Learn how we developed a series of methods to automatically identify such relationships and compare their performance →
https://
goo.gle/40CM7h7 -

Berkeley Research on AI Evaluations and Agent Systems
By
–
Two of the things we spend the most time thinking about are evals and agents This new research from @sh_reya and Ankush Garg at Berkeley touches on BOTH those things Includes an example notebook for how to run on your LangGraph app!