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It took us three turns to get out of a parking ticket, no hacking required. We tried talking to an AI agent one of our municipalities deployed, to cancel a ticket we'd gotten. Nothing sophisticated about it, just a few turns of conversation and making something up, and the ticket was canceled. We tried the same thing on two other municipalities' agents and it worked just as easily both times. I'm sure these teams thought they'd tested their agents properly before deploying them. They probably ran a few datasets and called it done. But they never actually tested the agent the way a full system needs to be tested. That's one of the biggest gaps we keep running into. Organizations deploy these agents assuming they work, without ever really knowing that they do.

Fundamental to our culture is putting the human at the center of AI. Meet the people behind Eliza and hear what drives our work and brings this team together. #LifeAtEliza

A clinical trial protocol can look promising on paper. But how well does it hold up against real-world enrollment conditions and competing studies? Before a trial moves forward, teams need to know whether evidence supports their assumptions. Our Clinical Trial Protocol & Feasibility Intelligence Demo shows how a single protocol synopsis can become a structured, evidence-backed review covering: 🔵 Protocol design, 🔵 Enrollment feasibility, 🔵 Trial timelines, 🔵Amendment risks, 🔵Competitive landscape. The workflow brings these findings into one report, supported by clinical trial registry data, with the option to explore the evidence further through an interactive Q&A. For clinical development and trial operations teams, this creates a more structured way to challenge protocol assumptions before they become costly operational issues. See how the workflow works in our demo: https://lnkd.in/de8KXuH6/?utm_campaign=%255Breach%255DMaincampaign&utm_source=linkedin&utm_medium=paid&utm_id=1206493984&hsa_acc=508184568&hsa_cam=1206493984&hsa_grp=884963314&hsa_ad=1617274074&hsa_net=linkedin&hsa_ver=3 #ClinicalTrials #Pharma #PharmaML #LifeSciences

Teachers often apply for jobs in the evenings — when support teams aren’t available. Zen Educate built a voice AI agent that guides users through onboarding, answers questions, and hands off to humans when needed. Customers describe the experience as natural and helpful. Watch how they built it.

ComfyUI provides full control over every stage of the pipeline. Swap models, lock seeds, and apply masks. Share workflows with team members while maintaining consistency.

With ComfyUI, you plug the workflow into your pipeline once, and every round of feedback becomes a revision in minutes across every shot, not a rebuild. Deliver more versions and faster turnarounds

Agentic AI requires infrastructure that refuses to bottleneck your breakthroughs. That’s why Bitdeer AI is proud to announce we've deployed more NVIDIA HGX B300 to support our Bitdeer AI Model Studio, powering our token factory. 🚀 Backed by our direct-to-expert support, Bitdeer AI gives you the infrastructure to run your most complex AI workloads with the performance and scale they demand. ⚡️ Build without limits. 🏭

Last Friday, Bitdeer (NASDAQ: BTDR) Technologies Group was proud to have sponsored the inaugural US-ASEAN Business Council Strategic Business Forum in #Singapore. The discussions centered on challenges and opportunities around Southeast Asia’s next phase of growth, from the 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗲𝗰𝗼𝗻𝗼𝗺𝘆 and 𝗲𝗻𝗲𝗿𝗴𝘆 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 to 𝘁𝗿𝗮𝗱𝗲 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲. 💡 At the panel on “𝙍𝙚𝙩𝙝𝙞𝙣𝙠𝙞𝙣𝙜 𝙏𝙖𝙡𝙚𝙣𝙩, 𝙎𝙠𝙞𝙡𝙡𝙨, 𝙖𝙣𝙙 𝙋𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙫𝙞𝙩𝙮 𝙞𝙣 𝙩𝙝𝙚 𝘼𝙄 𝙀𝙘𝙤𝙣𝙤𝙢𝙮,” moderated by Jared Nai, one message stood out: building the workforce of tomorrow requires new approaches to 𝘀𝗸𝗶𝗹𝗹𝘀, 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and 𝗺𝗼𝗯𝗶𝗹𝗶𝘁𝘆. 💪 Bitdeer AI's key message, conveyed by Theodora Dcruz that talent needs more than skills, it needs access to compute and infrastructure to turn those skills into innovation. Through initiatives such as our regional #hackathons, we’re working to help bring that access closer to developers and builders across #SoutheastAsia. And as the digital economy accelerates, the infrastructure behind it matters just as much. Scaling AI requires reliable, sustainable energy and deeper regional integration. The path forward requires true synergy: 🎓 Talent drives innovation. 📱 Compute enables it. 🔋 Energy powers it. 🌏 Regional connectivity makes it resilient. 🎉 A big shout out to the US-ASEAN Business Council (Brian McFeeters, Dr. James Andrade, Sarah Lessing, Angga Antagia, Third Bagro, Rahul Rai, Christine Wan) for bringing leaders together around these important conversations, and to Tan See Leng and fellow participants (Eunice Lim, Cher Whee Sim, Sarmista Mondol, Rifki Weno, Steven Okun, Kishore Mahbubani, Sarah Mohd Ong, Shaanti Shamdasani, Fatimah Zahrah Alsagoff, Alex Feldman, Khin Khin Myat Thu Hlaing, Intan Shafina Rasdi, Stephanie Duran, Scott Kofmehl, Glenn van Zutphen (Founder, CEO), Deborah Elms, Penny Burtt, Pushpanathan Sundram, PhD) for sharing valuable perspectives on Southeast Asia’s future.for bringing leaders together around these important conversations. Bitdeer AI remains committed to supporting a more connected, sustainable and AI-enabled Southeast Asia.👏🏼 #ASEAN #DigitalEconomy #AIInfrastructure #SoutheastAsia

Join Lin Qiao and Jensen Huang virtually for a live keynote on building your own frontier. Explore how leading companies are training specialized models, optimizing AI spend, and achieving frontier quality at lower costs. Register to watch the keynote live and unlock on-demand sessions featuring speakers from Microsoft, Meta, Notion, Cognition, and more.

Today we're launching AssemblyAI-TTS-1, our first text-to-speech model: frontier naturalness, super fast, instant cloning, and just $15 per 1M characters. On the combination of accuracy, naturalness, and cost... no other TTS model is better. It's perfect for conversational voice agents running at scale. We trained AssemblyAI-TTS-1 from scratch on our own proprietary data, and we serve it on our proprietary voice inference stack. The same inference stack that already handles 3M+ hours of voice/day for the 1M+ developers building with our transcription models. This means AssemblyAI-TTS-1 is frontier quality + super fast (80ms TTFB), and supports unlimited scale with no rate limits or capacity to reserve up front - just like our leading transcription models. AssemblyAI-TTS-1 is live TODAY with: - Frontier naturalness - #1 in accuracy on independent benchmarks - $15 per 1M chars - 90ms latency (TTFA) - Unlimited concurrency/rate-limits - Instant voice cloning - A library of 4,000+ voices to pick from Available today in our API. Watch Johnny order a pizza with our new TTS model in the video below 👀 And stay tuned... we have a ton of improvements and updates on the way.

Productivity at AssemblyAI has taken a hit recently... We've been having WAY too much fun testing our new Text-to-Speech model 👀 Experimenting with different voices, cloning each other, and making the model say increasingly ridiculous things. Good news: today we're launching AssemblyAI-TTS-1, so now everyone else can get distracted too 🚀 And while we've been having fun, the team has built something pretty incredible: 🎙️ Natural, expressive, human-like speech 🎯 Leading accuracy on independent benchmarks ⚡ <100ms time to first audio 🗣️ Instant voice cloning and 4,000+ voices ♾️ Unlimited concurrency, no minimum commitments 💰 Just $15 per million characters We've spent years helping developers build agents that can hear and understand their users. Now we're helping those agents speak back. Go have some fun with it. Promise it'll be worth it 👇 https://lnkd.in/ghNAX93i

NEW open-source framework for robotics. Cut engineering time by up to 40%. (📌 GitHub link below 👇) Infrastructure setup and management, simulation, robot policy training, synthetic data, and evaluation... Anyone building robots knows the headache of connecting different tools, managing dependencies, and moving data between environments. Repeating an experiment often means tracking datasets, scenes, checkpoints, and custom scripts. Nebius just released Physical AI Workbench, developed in collaboration with NVIDIA. ㅤ It brings data generation, simulation, training, and evaluation into one workflow that AI coding agents can operate directly. Workbench aims to simplify that through a single CLI called npa. ㅤ What's inside? ㅤ → 14-stage sim-to-real reference workflow → NVIDIA Cosmos Data Factory, including Cosmos 3 → Isaac Sim and Isaac Lab for simulation → Isaac GR00T for robot policies → NVIDIA SONIC for humanoid behavior ㅤ Early customers report up to 40% less engineering time, with iteration cycles dropping from weeks to days. ㅤ One interesting example comes from Germany's Sereact. ㅤ Together with Nebius, the company developed a sim-to-real pipeline for returns handling at Zalando. ㅤ Returned items vary in packaging, condition, and orientation, making this one of the more difficult warehouse tasks to automate. ㅤ Sereact is already deploying robotics software with companies including IKEA, DHL, BMW, and Mercedes-Benz. ㅤ I'm curious how much engineering work AI agents will eventually take over as these tools become more integrated. ㅤ The framework is available under Apache 2.0. 📌 GitHub: https://lnkd.in/enDHvQtd Blog: https://lnkd.in/e48dhu7S Video: Nebius Physical AI Workbench repo —— Weekly robotics and AI insights. Subscribe free: 22astronauts.com

JUST IN: Nebius just launched Physical AI Workbench, an open-source framework built in collaboration with NVIDIA that gives robotics teams one place to run the entire physical AI development cycle. Data generation. Simulation. Training. Evaluation. All connected. All agent-operable. The problem it solves is real. Building physical AI means stitching together tools that each have their own dependencies, data formats and infrastructure requirements. Moving outputs between stages takes custom scripts. Repeating an experiment requires careful tracking of every scene, dataset and checkpoint. When one tool changes, the whole pipeline breaks. Workbench replaces all of that with a single CLI — npa — that a coding agent can operate directly. The results customers are already reporting: → Up to 40% reduction in engineering time → Iteration cycles cut from weeks to days → 14-stage sim-to-real reference workflow, from task definition to a checkpoint ready for hardware testing The NVIDIA integration is deep. Workbench now includes NVIDIA Cosmos Data Factory built on Cosmos 3, runs on Isaac Sim and Isaac Lab for simulation, Isaac GR00T for robot policy models, and NVIDIA SONIC for humanoid behavior. The first real-world proof point is with Sereact, the German AI robotics company already deployed with Zalando, IKEA, BMW, DHL and Mercedes-Benz. Together they built a sim-to-real pipeline for returns handling at Zalando, one of the hardest warehouse processes to automate given the variability of returned items. Available now on GitHub under Apache 2.0. The infrastructure layer of physical AI is being built in Europe. 🇪🇺📊 Learn more here: https://lnkd.in/d4XgSjFN ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

Now your AI does, too. WRITER captures every signal and every insight your team generates, so agents act on your latest intelligence — not last quarter's.

The frontier of AI isn't a better model. It's a better business. WRITER puts on-brand agents to work across your buyer journey, acting on real-time signals to grow revenue faster.

This is what Bengaluru’s physical AI scene looks like in one room. Last Saturday, 30+ researchers and engineers joined us to work through one question: why does egocentric hand tracking break in the wild? They challenged each other’s assumptions, disagreed openly and took the problem further together than any one of them could have alone. We’re building more rooms like this, where top minds in physical AI share their work, debate open problems and build together. If you want to be in the next one, join the waitlist. Link in the comments 👇 Ishank Gupta Manish Agarwal Sandeep Reddy Sabbella, PhD Pushpak Agrawal

Dove vengono elaborati i dati che il vostro team inserisce negli strumenti di AI? Su quali server, in quale paese? Il check-up riservato misura l'esposizione su quattro fattori: dati, governance, fornitori, continuità. In due minuti ricevete l'indice da 0 a 100 e le sei domande da fare al vostro fornitore di AI prima del prossimo rinnovo. Gratuito e senza impegno.

Quanti forfettari sforeranno la soglia quest’anno? Oggi serve una serata su Excel. Fai il conto in 30 secondi: scegli il tuo ruolo, inserisci persone e ore, e scarica gratis il calcolo dettagliato in PDF, con il confronto oggi / con l’Assistente Studio di Brainyware. Chiedi in italiano al gestionale e ricevi numeri e grafici, con la query sempre a vista. In sola lettura: il database non esce dallo studio.

We've been working with Docket to add a face to their demand agent product And they've reported a 41% increase in engagement! You can chat with Aura, their demand agent, live on their website now. Docket's latest feature "frameless" pulls the agent our of the box in the corner and right into the webpage to work with your leads, supporting them, qualifying them and books the ones worth your teams time. Link to the full customer story in the comments, and check out their launch video below - we love it when a product gets a face :)

Our latest model, cara-4, is now available on LiveKit . meeting developers where they’re already building 🤝 For teams creating agents with LiveKit , flexibility matters. You want control over your stack, your agent logic, and the user experience you’re designing. But as agents become more conversational, the interface matters too. With cara-4, developers can bring expressive, real-time avatar experiences into the agents they’re already building. And with Director Notes, launching in beta with cara-4, that expression can be directed! Because healthcare agent should not show up like a sales coach. An angry customer needs a different presence from a warm tutor or a supportive therapist. Director Notes lets you choose a preset style like warm, supportive, angry, or distressed, or write a custom direction for how the avatar should perform. So teams developing with LiveKit can keep building on the stack they know, while giving their agents a face that feels responsive, expressive, and alive. Ema Pop, our Founding Designer, built a site where you can see this in action.

Buy NVIDIA B300 capacity from the company that owns it Answer a few quick questions to check availability and get a USD quote within 1 business day Elice built and runs its own liquid-cooled modular data center and owns every B300 node inside it You contract directly with Elice, with no reseller or marketplace in between - Dedicated 8x NVIDIA B300 nodes, as bare metal or VMs - Network isolation between customers - Reserved capacity that is never reclaimed - Lower rates on prepaid 3- to 5-year terms - ISO 27001 and ISO 27701 certified

Need NVIDIA B300 capacity? Answer a few quick questions to check availability and get a USD quote Our team replies within 1 business day Each node: 8x NVIDIA B300 GPUs with 2,304 GB of GPU memory, 2 TB of RAM, and 30 TB of local NVMe, on a non-blocking 800GbE RoCEv2 fabric On-demand list price is $7.79* per GPU-hour Prepaid reserved terms of 3 to 5 years are priced lower, and reserved capacity is never reclaimed Elice owns and operates every node and is ISO 27001 and ISO 27701 certified *List price as of October 2026, billed per second, excluding taxes

Turn decades of engineering documentation, maintenance records, and operational knowledge into reliable AI applications. Build and deploy with Haystack Enterprise Platform, keeping control over your data, models, and infrastructure.

Faster fault resolution. More productive maintenance teams. Across every site, not just one. Build and scale AI assistants with Haystack Enterprise Platform, with consistent evaluation, monitoring and governance to maintain performance as adoption scales.