@elliottszwu This looks like a genuinely different approach to 3D asset creation — curious how it handles complex articulation constraints (e.g. multi-joint characters vs. simpler objects)? Also, any plans to open-source or offer API access?
One of the biggest barriers to robot adoption? Teaching them.
Our CEO @p_mohansivam explains NeuralPilot. A Neuralzome’s AI platform that lets robots learn tasks from just a few demonstrations and adapt across farms and factories.
@prasannait10@adityashriwa7@Shahzil_0017
This Friday evening, @p_mohansivam and I are hosting a Robotics Founders BBQ Night.
The idea is simple: share our common challenges, learn from each other’s experiences, and see how we can support each other along the journey.
RSVP:
https://t.co/objacdIg8b
#Robotics #StartupFounders #HardwareStartups #SiliconValley
Persistence compounds.
We’ve spent years building our AI-powered robotics testing automation platform, when very few believed this category would exist.
Now, in 2026, enterprise purchase orders from global MNCs are arriving back-to-back.
Built with < $1M of capital. Now operating across 3 countries.
Deep gratitude to everyone who supported this journey.
If you're a founder building something difficult, keep going. The breakthrough often comes after the hardest years. 😇
The shift: from AI that processes information → to AI that understands environments and consequences.
2026 is the inflection point. What seemed theoretical last year is becoming operational infrastructure this year. 🚀
#AI#WorldModels#PhysicalAI#Robotics#worldmodel#VLA
@a16z Language is lossy, agreed — that’s exactly why world models matter: they let agents see, act, and predict in rich sensor space, then use language just as a high‑level interface to that grounded experience. Language describes; embodiment explains.
Featured in The @The_Hindu@businessline
@Neuralzome's NeuralPilot enables demos to simulate, generate & auto-annotate data to train & transfer VLA models hardware-agnostically.
We're hiring Mechatronics Engineer & Supply Chain Procurement
Drop your CV- [email protected]
Full Article: https://t.co/H2x15ox4tA
Ready to build the future of autonomy?
#Robotics #DeepTech #AutonomousRobots #AgriTech #Hiring #StartupIndia #Neuralzome
🚀🚀🚀Introducing HY World 1.5 (WorldPlay)! We have now open-sourced the most systemized, comprehensive real-time world model framework in the industry.
In HY World 1.5, we develop WorldPlay, a streaming video diffusion model that enables real-time, interactive world modeling with long-term geometric consistency, resolving the trade-off between speed and memory that limits current methods.
You can generate and explore 3D worlds simply by inputting text or images. Walk, look around, and interact like you're playing a game.
Highlights:
🔹Real-Time: Generates long-horizon streaming video at 24 FPS with superior consistency.
🔹Geometric Consistency: Achieved using a Reconstituted Context Memory mechanism to dynamically rebuild context from past frames to alleviate memory attenuation
🔹Robust Control: Uses a Dual Action Representation for robust response to user keyboard and mouse inputs.
🔹Versatile Applications: Supports both first-person and third-person perspectives, enabling applications like promptable events and infinite world extension.
👉🏻Try it now: https://t.co/0awf2D5LaT
🌐Project Page: https://t.co/bbFzdTXUdU
🔗Github: https://t.co/lSsVLXxoAd
🤗Hugging Face: https://t.co/qbCBzvfNRT
📄Technical Report: https://t.co/diLCcxWwQw
Real-time Fire and Liquid Simulation 🤯
Achieved using @nvidia RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!!
Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time.
Thanks to @Dell and @JangaFX we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as @UnrealEngine or @Blender 😎😎
🪄Introducing Anymate—a large-scale dataset of 230K 3D assets with rigging and skinning annotations!
With this dataset, we trained an auto-rigging model and benchmarked a variety of architectures!
🔥Turn static assets into animatable ones in seconds: https://t.co/77ApgJtia1
New Lens on RAG Systems
RAG systems are more brittle than you think, even when provided sufficient context.
Great work from Google and collaborators.
Good tips for devs included.
Here are my notes:
We are happy to announce that ComfyUI now natively supports @TXhunyuan Hunyuan3D 2.0 and Hunyuan3D 2.0 MV (Multi-View) model series!
3 workflows to get started:
🔹Hunyuan3D-2 mv: multi-view to 3D
🔹Hunyuan3D-2 mv Turbo: accelerated multi-view
🔹Hunyuan3D-2: single image to 3D