Interested in technology, ML, AI, VR, AR, Blockchain, retail, 3D, graphics, mobile applications.

Bangalore
Joined December 2009
India #SaaS is at an unstoppable pace and there are more than a handful of reasons to suggest why! Uncover all this and more on the latest @saasboomi landscape report, to be unveiled later this month. Stay tuned!
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Krishnan Ramaswami retweeted
🔥Big news from Chatbot Arena: Meet our new MT-Bench leaderboard & Vicuna-33B! We present a comprehensive, scalable, and validated leaderboard differentiating across open (Falcon, Wizard & Guanaco) and proprietary models (GPT-4, Claude & PaLM). Blog post: lmsys.org/blog/2023-06-22-le…
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Google Tells AI Agents to Behave Like 'Believable Humans' to Create 'Artificial Society' vice.com/en/article/z3mvj3/g… via @motherboard
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Another text to 3D using 3D shape prior from text-to-image bluestyle97.github.io/dream3…
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Muse - Text-to-Image generation using masked generative transformers muse-model.github.io/
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McKinsey Technology Trends Outlook 2022 mck.co/3xvBKwq via @McKinsey
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Interpretable 3D Shapes - Interesting. How generic can it get? - threedle.github.io/GeoCode/
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Krishnan Ramaswami retweeted
CS183B (How to Start a Startup, taught by Sam Altman with a ton of guest speakers) might be Stanford’s all-time best class. All 20 lectures here: startupclass.samaltman.com
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With all the noise around #ChatGPT, it is a good time to reflect on Large Language models - arxiv.org/pdf/2212.03551.pdf
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Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text ai.facebook.com/blog/ai-self…
A flexible material called "neurostring" can measure neurotransmitters #serotonin and #dopamine in soft #brain and #gut tissue. The invention, led by @ZhenanBao & Xiaoke Chen, will advance the #WuTsaiNeuro @BrOrganogenesis program. via @StanfordBioX: stanford.io/3NX2rjK
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DeepCTRL could be a way to build interpretable and reliable deep neural networks. ai.googleblog.com/2022/01/co… via @googleai