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I've more than doubled my business in the past year. I've also never been more exhausted in my life. I haven’t taken a real vacation in a long time… So I set up a fleet of AI agents for my team, so I could go to Greece for 10 days. And I actually unplugged 90% of the time. (I tried to unplug 100% of the time but I'm an obsessive entrepreneur) Before I left, I set up three AI agents in Hyperagent, a tool that lets you deploy always-on agents connected to your existing tool stack. Here are the 3 agents I built: ↳ A daily briefing agent that ingests my Gmail, Google Calendar, and an AI news feed every morning, prioritizes only high-priority stuff, and posts a Slack summary for my whole team. ↳ A blocker detection agent that monitors my Slack and email for threads where my team is waiting on my input for things like approvals and decisions. This is so helpful because I’m the biggest blocker in my company 😅 ↳ A weekly content performance agent that pulls social media post data, identifies patterns in what's working best, and sends my team an analytics breakdown. The architecture is simple but so powerful: each agent has its own cloud login, connects to the tools you already use, and runs on a trigger (either a schedule or an inbox event). And the cool thing is that they don’t replace my human team, they work in collaboration with them. And since they worked silently in the background, I was able to unplug a lot and keep my business running. Hyperagent is giving away $500 in credits to the first 500 people to sign up. This link gets you $500 credits to build your own agent in Hyperagent: https://lnkd.in/eiGkCT83 #HyperagentPartner

Day 3 at GITEX 2025 was all about exploring how Agentic AI is reshaping discovery, decisions, and industries. From an insightful panel featuring our CEO Ashish Ipe Koshy on “How Agentic AI is Rewriting the Rules of Discovery and Decision-Making” to exclusive sessions with Mohammed Shayan and Anuj Sharma showcasing how (In)Alpha is transforming private equity, innovation took centre stage. Visitors also experienced hands-on demos of our flagship platforms including (In)Sight, (In)Alpha, (In)Media, and (In)Procurement, witnessing how AI continues to drive measurable impact across sectors. The conversations, collaborations, and curiosity on display made Day 3 another step forward in shaping the future of intelligent enterprise. #Inception #G42 #GITEX2025 #AI #Innovation #FutureOfWork #EnterpriseAI #Education #InceptionAI #Technology #GITEXGlobal

Day 4 at #GITEX2025 A Day of Insightful Conversations and Innovation at Inception! Energy and engagement filled the booth as we connected with industry leaders, partners, and innovators to explore how Authentic Intelligence, built in the UAE and designed for the world, is driving transformation across sectors. Narihan Ellaithy, Product Manager, showcased (In)Media demonstrating how AI can uncover hidden stories, detect bias, and protect credibility across platforms. Later, Sharif Berdi, Senior Director of Engineering at Inception, joined Ahmad Abdelhalim, System Architect at X14 Media for a fireside chat exploring how AI-driven media intelligence is reshaping how organizations perceive reputation, trust, and authenticity. With Day 4 complete, the momentum continues to build as we head into the final day of GITEX 2025, ready to share more innovation and insight. #Inception #G42 #GITEX2025 #AI #Innovation #FutureOfWork #EnterpriseAI #Education #InceptionAI #Technology #GITEXGlobal

Local compute with top latency performance. Pay for results, not usage: Up to 80% cheaper and 2x faster than hyperscalers. Hyperfusion. Don’t wait.

B200s and B300s are backordered everywhere. Most providers: 6–8 months out. We're not.

Thousands of B200 and B300 GPUs coming online in 2–3 months. Your roadmap can't wait 8.

We have built the first generative simulation platform that delivers native Full HD (2MP) resolution per camera across a synchronized, 6-camera surround view—yielding a 12-megapixel fully synchronized synthetic canvas per timestep. By delivering five times the pixel density of current industry standards, we are solving a critical infrastructure bottleneck for Physical AI. Training an AI system on sub-HD synthetic data creates a significant "sim-to-real" domain gap that hinders real-world performance. By achieving native hardware parity, we ensure that autonomous systems are trained on the exact pixel density they will encounter in physical reality. Our platform provides two powerful methods for data generation: 🔵 VidGen-3 creates entirely synthetic driving sequences from scratch to bridge geographic and environmental data gaps. 🔵 GenSim-3 performs high-fidelity scene transfer by re-stylizing real-world footage to change parameters like weather, lighting, and textures. We achieved this resolution milestone using an optimized cluster of only hundreds of GPUs rather than thousands. This massive compute efficiency makes high-fidelity simulation commercially viable for enterprise scaling and accelerates the path to safe, scalable autonomy.

We have built a generative world model that hits a new industry benchmark for simulation: native Full HD (2MP) resolution per camera across a synchronized 6-camera surround view. Traditional simulation approaches introduce a severe "sim-to-real" domain gap. Our world model eliminates this gap by generating a 12-megapixel fully synchronized synthetic canvas per timestep, ensuring autonomous driving systems train on the exact pixel density they will encounter on the road. Our architecture provides global automakers with two core capabilities: 🔵 VidGen-3: Simulates entirely synthetic driving sequences from scratch to bridge geographic and environmental data gaps. 🔵 GenSim-3: Performs high-fidelity scene transfer, re-stylizing real-world footage to instantly change parameters like weather, lighting, and textures. We achieved this resolution milestone using an optimized cluster of only hundreds of GPUs rather than thousands. This massive compute efficiency makes high-fidelity simulation commercially viable for enterprise scaling and accelerates the path to safe, scalable autonomy.

🚜 Farming robots, healthcare heroes, and top-secret tech...oh my! Catch Baby Tom & Lenny the Yeti as they turn AI into the Avengers of technology. Tune in for laughs, learnings, and maybe a snow cone. #DenvrAI #AIServices #AIAscend

🏔️ No mountain climbing required! Just tune in to hear how you can get $1,000 in AI startup credits (and maybe a Yeti joke or two). Baby Tom & Lenny's new episode is live! #DenvrAI #AIServices #AIAscend

For decades, turning a creative concept into a high-quality video required complex software, long render times, and specialized teams. AI video generation is changing that. It's collapsing the workflow from days to minutes, shifting the focus from technical execution back to the creative idea itself. We've been demonstrating this with our Hedra Halloween campaign—showing how intricate, spooky scenes can be generated from a single prompt. The most common question we've received isn't about the tech, but: "How do I start?" This video shows a glimpse of the process. It's straightforward by design. To help you get hands-on, I'm sharing our "Get Started with Hedra" guide. It's a straightforward walkthrough of what Hedra offers, along with some tips and tricks for creating high-quality content. You can find the direct link to the guide in the first comment below. We're excited to see what people create when the barrier to entry isn't the tool, but only the imagination.

Happy Hedra Halloween! In the past, a high-quality Halloween video like this meant: - Weeks of production. - Complex logistics and props. - A barrier between a great idea and the final cut. We generated this entire video from simple text prompts. From concept to final asset in under an hour. This is the new standard for creative velocity. When you remove the friction, you unlock your team's best ideas. What's one timely idea you'd create if you could do it in an hour?

The 2026 Long Horizon lineup is confirmed. The summit will feature the leading names in Physical AI, including: • Sebastian Thrun, Founder, Google X • Deepak Pathak, CEO, Skild AI • Alex Kendall, Co-founder and CEO, Wayve • Carolina Parada, VP and Head of Robotics, Google DeepMind • Vincent Vanhoucke, Distinguished Engineer, Waymo • Ken Goldberg, Co-founder, Ambi Robotics • Alberto Rodriguez, Director of Robot Behavior (Atlas), Boston Dynamics • Pim de Witte, CEO, General Intuition Two days at Fort Mason. October 20–21. Apply for entry today. Join the waitlist: https://lnkd.in/eShztTgz

Sovereign AI doesn't mean building your own foundation model. It means not being held hostage by your vendors. The term gets thrown around a lot, but for most organizations, it's really about maintaining control over the parts that matter. Where does your data live? Can you choose which model to use, or switch providers without rebuilding everything? Can your systems continue operating if one vendor changes pricing, access, or strategy? Those questions have much more impact on long-term resilience than whether you're using the latest benchmark leader. The conversation shouldn't start with "Which model should we use?" It should start with "Which parts of our AI stack do we actually control?" That's what sovereignty looks like in practice. What's the hardest part of your AI stack to keep control over right now?

Europe doesn't have an AI talent problem. It has a deployment problem. I'm actually optimistic about companies like Mistral. European AI models, sovereign infrastructure and on-device AI all matter. Especially in healthcare. But we shouldn't confuse good models with production-ready healthcare systems. The difficult part isn't training another model. It's integrating that model into hospitals, clinical workflows and existing infrastructure. Healthcare AI won't be won by whoever has the biggest model. It will be won by whoever earns the most trust.

How did OnsiteIQ's engineering team annotate millions of 360 images? "Encord was the best... it saves a ton of cost and time for us to deploy the models."

From hours of manual chart review to instant insights, Kizen’s AI Healthcare Buddy closes care gaps, reduces provider burden by 50%, and boosts quality scores.

Providers spend 50% of their time on admin work. Kizen cuts it in half, so your team can focus on what matters most: personalized patient care.

We’re proud to share that Global AI has officially joined the NVIDIA Partner Network (NPN) as a Preferred NVIDIA Cloud Partner, marking another step forward in our mission to deliver sovereign AI infrastructure at scale. Our collaboration with NVIDIA comes as Global AI deploys the largest NVIDIA GB300 NVL72 cluster in New York with over 9,100 GPUs, a milestone that reinforces our position as a leading builder of liquid-cooled, high-efficiency GPU data centers. With 2025 capacity now sold out and the 2026 waiting list open, Global AI continues to enable enterprises and sovereign entities to access the next generation of accelerated computing powered by NVIDIA’s architecture and designed for secure, high-performance AI workloads. This partnership underscores our shared commitment to scalable, energy-efficient AI infrastructure and the vision of making sovereign AI a global reality. Learn more at www.globalai.com #GlobalAI #NVIDIA #DataCenters

Why organisations like Warwickshire Police - that can't get it wrong on GenAI - use the Great Wave AI platform.

In this video, Harrison Kirby talks about agent orchestration platforms and why you need one - whether you realise it yet or not.

AI Factory in Taiwan 7,000 Blackwell GPUs 96 racks 2M tokens/sec March 2026 With NVIDIA, Trend Micro, WiAdvance 緯謙科技, Chunghwa System Integration, VAST Data, and TECO Energy

Nano Banana Pro is now live on GMI Cloud 🍌 The newest evolution of Google DeepMind’s image-generation stack is here — and now you can run it on high-performance GPUs with enterprise-grade reliability. Nano Banana Pro brings studio-quality image generation, sharp multilingual text rendering, and enhanced real-world grounding—ideal for teams building creative pipelines, product visuals, data explainers, or high-fidelity prototypes. 👉 Try Nano Banana Pro today on the GMI Inference Engine： https://lnkd.in/gZjQy_3P #GenAI #ImageGeneration #AIInfrastructure #GMICloud #MLE #Gemini #Google #Nanobanana

Many advances in AI are really part of the same story: finding ways to make deeper models work. Sander Dieleman discusses this in his latest conversation with Marta Garnelo. Full interview coming soon