AI is moving fast. Like, really fast.
But here's what we're curious about 👇🏻
Everyone's talking about AI replacing jobs, but not enough people are talking about how AI is changing the skills we need to do those jobs better.
What's your take? 🤔
#AI#TechTrends#ObjectTech
AI is reshaping battery R&D - here's the 6-step workflow driving it:
1️⃣ Data Collection
2️⃣ Feature Engineering
3️⃣ Model Training
4️⃣ Validation & Tuning
5️⃣ Deployment
6️⃣ Continuous Evaluation
✨ We're building foundation models for Battery R&D.
#BatteryTech#AI#EnergyStorage
90% of engineers are stuck in repetitive tasks. That's billions in lost potential.
Object Tech's Applied AI handles the grunt work — detection, prediction & metrology at nanoscale — so your team can focus on what matters.
🔬 Built for deeptech. Built for scale.
#DeepTech#AI
Nanovision: 👇
Seeing and interpreting matter at near-atomic scale to extract real insight.
Healthcare → earlier disease detection😷
Manufacturing → material-level defect analysis👩🏭
Energy → nanoscale reaction insights🔋
Deep tech doesn’t need hype.
It needs clarity. 💯
🚨 Smart manufacturing isn’t a “future factory” concept. It’s a decision-making upgrade.
It’s faster decisions, fewer surprises.
Data isn’t missing — it’s stuck in silos.
And late data = vibe-based operations.
🚀 Visibility is step 1. Action is the finish line
Manufacturing AI isn’t here to steal hard hats. 🧢
It’s here to reduce repetitive work and make humans more effective with better monitoring, predictive maintenance, and smarter planning. 📝
Read the full article here: https://t.co/h7AuQmHdnr
What is manufacturing AI, really?
It’s using factory data (vision + sensors + production logs) to catch issues early - so teams can prevent scrap and surprises.
There's a fuller breakdown on LinkedIn too 👇
https://t.co/DswRASXgUp
#AI#ManufacturingAI#ObjectDetection#IBM
The next wave isn’t just robot motion- it’s robot reasoning + factory-grade vision. Pair that with DeepSearch across drawings/SOPs and you’ve got end-to-end. 🧠⚙️
Google DeepMind 🤝 @BostonDynamics
Our new research partnership will bring together our advancements in Gemini Robotics’s foundational capabilities to their new Atlas® humanoids. 🦾
Find out more → https://t.co/Z4fL9ixjW3
Databricks Ventures is investing in Lovable’s $330M Series B to power the age of the builder.
As AI transforms how software is created, @Lovable reflects a broader shift toward more accessible, AI-native application development. Their growth highlights the demand for opening software creation to more people, and we’re excited to support their journey ahead! https://t.co/9izcHF0CFh
Congrats to the Google team on Nano Banana Pro!
At Object Tech, NanoVision™ tackles the other side: from images → repeatable measurements on the line. Create with confidence, inspect with certainty. #AIVision
Rolling out today we are launching Nano Banana Pro, the world’s best image model built to move beyond casual creation and into a new era of studio-quality, functional design.
Nano Banana Pro enables a new level of precision and creative control, transforming the way you bring ideas to life. Here are a couple of our favorite new features:
— Text rendering and translation: Generate crystal-clear text directly within your images. With the model’s advanced language understanding, you can even translate and regenerate visuals with localized text.
— World knowledge: By connecting to Search’s vast knowledge base, Nano Banana Pro generates factually accurate diagrams and realistic product placements, making it an invaluable tool for learning and communication.
If you lead engineering or ops, options are expanding fast: Prometheus joins the push to apply AI to design, inspection, and production flows.
Where would you pilot first: predictive, vision, or scheduling? #Manufacturing#AI
NEWS: Jeff Bezos has created a new AI startup where he will be Co-CEO.
It's called Project Prometheus and has received $6.2B in funding, some from Bezos himself. The startup is going to build AI products for engineering and manufacturing in fields like computers, aerospace and automobiles.
The company already has almost 100 staff, including researchers from Meta, OpenAI and Google DeepMind.
We’re introducing a major AI shopping update across Google, just in time for the holiday season — here’s what’s new. 🛍️
💬 In AI Mode, you can describe what you’re looking for just as you’d say it to a friend and get an intelligently organized response that brings together visuals and all the details you need (like price, reviews and inventory info), helping you quickly and confidently decide what to buy.
🛒 Simplify your shopping in the @GeminiApp. Now Gemini can brainstorm gift ideas, easily compare products and answer your questions with shoppable links all within your chat.
🔎Save time by asking Google to call stores on your behalf to check what’s in stock and if there are any promos in our new agentic calling feature.
💳Use agentic AI to get a good deal. Just track the price of an item you want, and if the price falls within your budget from eligible U.S. merchants, you’ll get a notification and have the option to let Google buy it on your behalf securely with Google Pay.
Imagine seeing the result before you press “Run.” That’s InsightLab- AI prediction for R&D and production.
Fewer experiments, more uptime, better outcomes. Learn more: https://t.co/1TOGHKk7HO
#AI#Manufacturing#RnD
We're #hiring a Machine Learning Intern at Object!🚀
https://t.co/uZhuq8AVBc
✅ Remote-first & super flexible schedule
✅ OPT/CPT friendly – great for college students
✅ Referral & recommendation letter opportunities for future roles
✅ Fastest-growing AI startup in deep tech
The fact about AI now is: it’s scaling everywhere.
− 99% defect catch with AI vision
− 25% maintenance costs / −70% breakdowns
− 20–30% inventory, +7–15% warehouse capacity
AI in manufacturing is exploding. What would you prioritize first?
#Manufacturing#AI#AIVision