Most electronics are built on flat, stiff boards, which makes it incredibly difficult to fit them onto curved and irregular shapes we find in the real world, such as human limbs or curved aircraft wings. While flexible electronics have made some progress, they are often not durable enough or are too complex to manufacture for everyday use.
Step into the future with “Smart Golden Cities of the Future”, a 1-hour journey exploring how technology and nature will merge to create sustainable, intelligent cities by 2050. In this immersive video, we’ll dive deep into a world where urban spaces are powered by Sci-Fi innovation, green infrastructure, and advanced technologies. From eco-friendly architecture to autonomous transportation systems, discover how the cities of tomorrow will function in harmony with the environment. Imagine a future with clean energy, smart public services, and a thriving connection to nature—where sustainability and futuristic technology drive every aspect of life. Join us for an hour-long exploration of the Smart Cities of 2050, as we uncover the incredible possibilities and challenges of creating urban spaces that work for both people and the planet. ✨ This video was created with passion and love for sharing creative production using AI tools such as: • 🧠 Research: ChatGPT • 🖼️ Image Creation: Leonardo, Midjourney, ImageFX • 🎬 Video Production: Veo 3.1, Runway ML • 🎵 Music Generation: Suno AI • ✂️ Video Editing: CapCut Pro 💡 Note: All of the above AI tools are subscription-based. This project combines imagination and creativity from my perspective as a mechanical engineer who loves exploring the future. 🙏🏻 Please Support: • ✅ Subscribe • 👍 Like • 💬 Comment Thank you so much for watching!I hope you enjoy this journey and gain inspiration from this creative experience ❤️ #SmartCities #Sustainability #FutureOfLiving #SciFiInnovation #EcoFriendlyCities #midjourney #veo3 #sunoai
The media and tech landscape is undergoing a significant transformation driven by advancements in AI, technology, and new structures, enabling entrepreneurs and companies to achieve exponential growth and innovation ## ## Questions to inspire discussion.
Building Your Own Platform.
🚀 Q: How can writers escape traditional media constraints? A: Launch on decentralized platforms like Substack where you build your own brand and business as a “non-fungible writer”, potentially creating organizations 10x larger than traditional media companies you’d work for.
💰 Q: What makes writer-led platforms attractive investments? A: Platforms become cornerstone franchises when writers only succeed by making the platform successful, creating aligned incentives that generate significant returns while enabling top talent to build independent businesses.
📊 Q: What content opportunity exists in decentralized media? A: A barbell market is emerging with mainstream filler content on one end and massive untapped demand for high-quality niche content on the other, creating opportunities across various specialized domains.
Leveraging AI for Business.
Tesla is ending the one-time purchase option for Full Self-Driving (FSD) and shifting to a monthly subscription model, likely to recapture the value of the technology as it advances towards full autonomy and potential expansion into a robo-taxi fleet ##
## Questions to inspire discussion.
Investment Signal.
🎯 Q: Why is Tesla ending FSD one-time purchases after February 14?
A: Tesla is stopping FSD sales because autonomy is approaching a major inflection point where value will step-change when drivers are out of the loop, and Tesla wants to avoid locking in one-time payments at legacy prices before entering the real robo-taxi world.
Revenue Model Transformation.
In 2023, a team of physicists from Sandia National Laboratories announced a major discovery: a way to steer LED light. If refined, it could mean someday replacing lasers with cheaper, smaller, more energy-efficient LEDs in countless technologies, from UPC scanners and holographic projectors to self-driving cars. The team assumed it would take years of meticulous experimentation to refine their technique.
Now the same researchers have reported that a trio of artificial intelligence labmates has improved their best results fourfold. It took about five hours.
The resulting paper, now published in Nature Communications, shows how AI is advancing beyond a mere automation tool toward becoming a powerful engine for clear, comprehensible scientific discovery.
Microsoft just introduced OptiMind — a new AI system that turns plain English decision problems into solver-ready optimization models. Instead of needing an expert to manually convert business intent into MILP math, OptiMind generates the full mathematical formulation plus executable Python code using GurobiPy. The result: faster, cheaper optimization workflows for logistics, scheduling, manufacturing, and supply chains — with major accuracy gains on cleaned, expert-validated benchmarks.
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✉ General Inquiries: [email protected].
🧠 What You’ll See.
0:00 What Microsoft OptiMind Really Is.
1:43 From Text to Optimization Code (MILP + Gurobi)
2:59 OptiMind Architecture: MoE and 128K Context.
3:34 Open Source Under MIT License.
4:28 Training With Expert Hints and Clean Data.
6:02 53 Optimization Problem Classes.
8:38 Multi-Stage Solver-in-the-Loop Inference.
9:11 Self-Consistency and Auto Error Correction.
9:55 Performance vs GPT-o4 Mini and GPT-5
10:32 Limits, Safety, and Human Oversight.
🚨 Why It Matters.
Optimization is already the hidden engine behind supply chains, factories, routing, and scheduling — the problem is the translation step. Converting messy real-world requirements into correct MILP constraints takes rare experts and days of work. OptiMind targets that exact gap: natural language in, solver-ready decisions out. This is why it’s going viral — it’s not just AI text generation, it’s AI generating decisions.
#AI #Microsoft #OptiMind
Austin Transit Partnership Light Rail — “Artist Conceptualizes Visualizations” of rail on the UT campus as of January 2026. Final design is subject to change.
The Austin Light Rail will be built in phases, with Phase 1 to span 9.8 miles, have 15 stations, three park and ride facilities, a new bridge over Lady Bird Lake and an Operations and Maintenance Facility near the airport.
The rail line is supposed to run every five minutes during peak hours and is expected to service 29,000 riders during the work week by 2045, when the regional population is expected to grow toward 4.7 million residents.
Graphene could transform everything from electric cars to smartphones, but only if we can guarantee its quality. The University of Manchester has led the world’s largest study to set a new global benchmark for testing graphene’s single-atom thickness. Working with the UK’s National Physical Laboratory (NPL) and 15 leading research institutes worldwide, the team has developed a reliable method using transmission electron microscopy (TEM) that will underpin future industrial standards.
Researchers at the University of Manchester, working with the UK’s National Physical Laboratory and 15 international partners, have developed a robust protocol using transmission electron microscopy (TEM). The results, published in 2D Materials, will underpin a new ISO technical specification for graphene.
“To incorporate graphene and other 2D materials into industrial applications, from light-weight vehicles to sports equipment, touch screens, sensors and electronics, you need to know you’re working with the right material. This study sets a global benchmark that industry can trust,” said Dr. William Thornley, who worked on the research during his Ph.D.