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[Apr'25] Spinning out HyperSym [DeepTech, Product, Simulations]
Re-imagine industrial simulations at scale. HyperSym Agents turn natural language instructions into validated simulation models — cutting development time by up to 20×.
[May'25] Coming Soon: Universal Memory for AI and Humans [DeepTech, Product, Memory Layer]
[Aug'25] Coming Soon: RL environments for Computer Use Agents [DeepTech, Product, RFT]
[News] We are starting our Climate Research Wing [India]
In this research wing we are targetting climate change related real-world problems and how to address them by proposing scalable and efficient deep learning based approaches, as well as Analysis and Prediction about the change in Natural Atmosphere in Indian Natural Regions, we aim to collaborate with Govt. Agencies which contineously monitoring and collecting information on various datapoints on the dynamics of Indian Climatic Eco-system.
[Attending] Meet us at CVIT Summer School on AI'22 !!
we are pleased to attend a month long summer school series after exhausting summer of research at various institutes, at last we are excited to end this year's summer at CVIT, if you are also someone who is participating and would like to connect there, feel free drop us a prior mail as well
[Insights] Attended RIISE2022 at IIIT Delhi
- Keynote from Mr. Sachindra Joshi (Lead AI, @IBMResearch)
- Core Research track featuring Dr.Prateek Jain (@GoogleAI ) and Dr. Subrata Mitra (@AdobeResearch )
- Posters from PHDs in AI and Core Research Track
Had a great time with the researchers who were presenting their posters, and enjoyed the discussion with @NAGAR_PRAVIN, Amina Haroon, Shivani Kumar, Aseem Shrivastava, and many more !! from labs like @lcs2iiitd, NDCL, @midasIIITD
[Summer Workshop] Probabilistic Graph Models at SAiDL
Following Research Pods are present to showcase the fields in which work has been done or currently going on
Recent advancements in the field of AI ignites the motivation for the research in the respective areas.
Few of the currently focused research fields in Genesis AI Labs are listed below:
Research Orientations
Current Research Orientations:
[1] Geometric Deep Learning Pod
Natural Science Application
Graph DL Core
Information Diffusion
[2] Deep Learning Pod
Video Analysis
Physics based Deep Learning
Generative Modeling [Diffusers]
[3] AI Agents
Reinforcement Learning Optimizations
Path towards sensitive RL
More environment aware RL Agents
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