Last month, @StanfordHAI leaders @SuryaGanguli and @drfeifei shaped critical conversations through keynotes and panels at the India AI Impact Summit 2026. This global presence further underscores our mission in bridging AI innovation and governance across global contexts.
TECHNOLOGY
-
India launches AI sovereignty with 38,000 GPUs infrastructure
By
–
This is what sovereignty looks like. Not just a word in a speech. 38,000 GPUs. 12 foundational model teams. 10000+ datasets. India's AI era has started. And YOU are in it. #MadeWithIndiaAI (8/8) @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @abhish18 @kavitabha
-
India Launches National Compute Pool with Seven Cloud Providers
By
–
In 18 months, seven empanelled cloud providers. @NVIDIA H100s, @AMD MI300s, @Google Trillium TPUs. Distributed across tier-3 data centres. All under one national compute pool. (3/8) @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @abhish18 @kavitabha @GoI_MeitY
-
Balancing specialization with experimentation in tool adoption strategy
By
–
Totally agree! Specializing definitely pays out. But there’s still a point where you need to keep some kind of experiment vs. Exploitation ratio for new tools, else we’d still be stuck with what we were using years ago. But that’s my usual take to wait a few months and see
-
Technological Inversion: Military to Civil and Back with AI
By
–
Until roughly the 1970s, most civilian technological progress was downstream of military technological progress. The trend has since inverted. Today most of the modern (e.g. Ukraine) military playbook comes from consumer tech from the past two decades. With AI entering the
-
Soul Cast 2.0: Creating Fully Customizable AI Actors for Storytelling
By
–
Soul Cast = Cinema Studio 2.0
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 12 mars 2026
Vous créez des acteurs IA COMPLÈTEMENT personnalisables.
Pas juste des deepfakes.
Des personnages construits pour le storytelling. pic.twitter.com/MwwOkf8nfSSoul Cast = Cinema Studio 2.0 Vous créez des acteurs IA COMPLÈTEMENT personnalisables. Pas juste des deepfakes. Des personnages construits pour le storytelling.
-
AI Actors Revolutionize Filmmaking: Inevitable Shift Predicted by 2026
By
–
Engager cet acteur coûterait $100 000 et deux semaines à Hollywood.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 12 mars 2026
Soul Cast de Higgsfield l'a fait en trois minutes.
ET vous êtes propriétaire du personnage pour toujours.
80 % des films utiliseront des acteurs IA d'ici 2026. Voici pourquoi c'est inévitable : @higgsfield… pic.twitter.com/p2v762F8h7Engager cet acteur coûterait $100 000 et deux semaines à Hollywood. Soul Cast de Higgsfield l'a fait en trois minutes.
ET vous êtes propriétaire du personnage pour toujours. 80 % des films utiliseront des acteurs IA d'ici 2026. Voici pourquoi c'est inévitable : @higgsfield -

Digital Inclusion Beyond Connectivity: Skills and Sustainable Models
By
–
One reflection from the discussions at MWC is that digital inclusion is not only about expanding connectivity. Infrastructure is essential, but real participation in the digital economy also depends on skills and sustainable models that make networks viable in remote regions.
-
AI and War: Technology Accelerates Military Operations
By
–
👋 Back from maternity leave & into a world of the AI-driven "kill chain". I wrote about how the technology we all use has brought unprecedented speed and scale to how the US and Israel are waging war in Iran. ft.com/content/fedb262e-e6db… [Translated from EN to English]
→ View original post on X — @madhumita29, 2026-03-12 07:30 UTC
-
Yann LeCun’s Career Reflects How AI Innovation Really Happens
By
–
𝗬𝗮𝗻𝗻 𝗟𝗲𝗖𝘂𝗻’𝘀 𝗰𝗮𝗿𝗲𝗲𝗿 𝗮𝗹𝘄𝗮𝘆𝘀 𝗺𝗮𝗸𝗲𝘀 𝗺𝗲 𝘁𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝗲𝗻𝘀.
— Pascal Bornet (@pascal_bornet) 12 mars 2026
Today, deep learning powers much of modern AI.
But when Yann LeCun began working on neural networks in the 1980s, many researchers… pic.twitter.com/CsoLOUtcGl𝗬𝗮𝗻𝗻 𝗟𝗲𝗖𝘂𝗻’𝘀 𝗰𝗮𝗿𝗲𝗲𝗿 𝗮𝗹𝘄𝗮𝘆𝘀 𝗺𝗮𝗸𝗲𝘀 𝗺𝗲 𝘁𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗵𝗼𝘄 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝗲𝗻𝘀. Today, deep learning powers much of modern AI. But when Yann LeCun began working on neural networks in the 1980s, many researchers
