concrete.ai’s Post

In Gideon Samid's School of Innovation we bring people in touch with their creativity, surprising themselves. One remarkably successful way is challenging a student facing a daunting innovative challenge to come up with a science-fiction story to solve this challenge. Amazing how this exercise releases hidden mental capacity. And if we do it in a face-to-face group, like I do with my clients, then the contributions from all corners work their way into a practical creative idea, no one thought of before. Then we use the Innovation Turing Machine, BiPSA, AI and off we go. Your creativity is your promise, don't let it slip! https://lnkd.in/eGtpbwpb

MIT Technology Review just published its top 10 breakthrough technologies list for the year. Is AI on it? Of course. The way Sam Altman is talking at the moment none of us will need to work by December. There's plenty of other interesting stuff going on in technology though. From reducing cattle burps, cleaner jet fuel, green steel, to working stem ecll technologies, there's plenty of reasons for hope.

Looks like deep tech investment universe is mostly focused on Computing/AI/ML/Robotics….. sometimes I wonder how do I classify our portfolio in Waste water treatment, new bio materials, soil regeneration, long duration energy storage, point of care diagnostics, affordable therapeutics, climate resilient crops, industrial decarbonisation..……our scientists and engineers are also going very deep as they build and implement these transformative technologies :) or shall we invent a new terminology now?

New Coalition to Harness AI for Industrial Decarbonisation 🌎 We’re thrilled to share this article about the launch of the IDAIC - The Industrial Decarbonization AI Coalition a ground breaking initiative that harnesses AI to tackle one of the most challenging climate issues: cutting emissions from industrial processes. 🛠 Why It Matters In 2022, the world achieved a decarbonization rate of 2.5%. However, to meet the critical 1.5°C climate target, emissions reductions need to accelerate dramatically — and AI is poised to help close this gap. 🌟 Key Highlights - AI could transform the sector by driving smarter supply chains, reducing downtime through predictive maintenance, and developing more carbon-efficient materials. - A key goal is fostering collaboration and encouraging data sharing among traditionally competitive players. - The commission is calling for more consistent government policy and streamlined planning We’re thrilled to be a partner with IDAIC in this vital initiative, alongside industry leaders including Innovate UK Business Connect, Nexus Climate, Cleantech for UK, Make UK, World Cement Association, Carbon Re, A3&Co and more 📢 Let’s lead the way in shaping a sustainable future! Check out the full article here: 🚨And discover more about IDAIC here: https://hubs.li/Q030zkCL0 #IDAIC #decarbonisation #commission #ai #sustainability #netzero #industry #efficiency #uk

🤖 10 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐨𝐟 2024: 𝐅𝐫𝐨𝐦 𝐀𝐈 𝐭𝐨 𝐆𝐞𝐧𝐞 𝐄𝐝𝐢𝐭𝐢𝐧𝐠 2024 is the year of transformation. AI is now the silent engine powering everything from healthcare to creative industries. Super-efficient solar cells are tipping the scale in favor of sustainability. Apple’s Vision Pro is blurring the line between virtual and reality. Weight-loss drugs are showing promise, and gene-editing treatments are rewriting biology. We’re witnessing the future unfold! Every year, MIT Technology Review looks for promising technologies poised to have a real impact on the world. Here are the advances that matter the most right now: https://lnkd.in/dZvv3GeR What do you think? Let me know in the comments. 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐌𝐲 𝐖𝐞𝐞𝐤𝐥𝐲 𝐍𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫: Join 20000+ global readers and stay updated with the latest trends, explore new possibilities, and discover what’s coming next (link below)

The Hannover Messe 2024 has made it abundantly clear: without artificial intelligence, the industrial sector will lag behind. AI is no longer merely a vision for the future but the key to a new era of innovation and sustainability, and thus to the successful transformation of the industrial sector. Read in the blog post by my colleagues Bianca Barth and Nazila Sfika the key learnings from the Hannover Messe 2024. Discover how ai-based technologies not only enhance efficiency but also drive sustainable innovations forward. Click here for the entire insights.

🚀 Recently, I came across an exciting development from MIT's Engine, highlighting how artificial intelligence is being leveraged in physical supply chains. Ashley Beckwith and her team are exploring innovative use cases where digital processes enhance the management and efficiency of supply chains. This intersection of AI and supply chain management is significant for the Information Technology industry. As the global economy becomes increasingly interconnected, improving supply chains through technology is not just a competitive advantage—it's essential for resilience and sustainability. AI can optimize inventory management, predict demand fluctuations, and improve logistics operations, all while reducing waste. This news signals a shift in how companies can use cutting-edge technology to solve complex, real-world problems. Looking ahead, I see numerous opportunities for IT professionals in this space. Embracing AI solutions can lead to more efficient operations and better resource allocation. However, we must also be cautious about the challenges that come with these technologies, such as data privacy concerns and the need for a skilled workforce to manage advanced systems. The broader market landscape is evolving. Companies that adapt quickly to leverage AI in their supply chains will likely see significant benefits, while those that do not may struggle to keep up. 🌐 I'm eager to hear your thoughts on this development. How do you see AI transforming supply chains in your industry? What steps are you taking to adapt to these changes? Let's discuss! 👇 https://buff.ly/3VwJA4N #ArtificialIntelligence #SupplyChainInnovation #MITEngine #StartupCulture #SyntheticBioscience #TechInnovation #FutureOfScience #AIInIndustry

At Solugen, we leverage AI and machine learning to fine-tune complex chemical processes, optimize reaction yields, and improve product quality. This cutting-edge approach accelerates the development of our engineered enzymes and metal catalysts, while enhancing the efficiency of our manufacturing operations. Leading this transformative strategy is Carlos Gomez Uribe, who brings extensive experience from tech powerhouses like Google, Netflix, Facebook, and Apple to drive biotech innovation at Solugen. 👉 Check out our latest blog featuring a Q&A with Carlos to delve deeper into how AI is reshaping the future of sustainable chemical manufacturing. https://lnkd.in/gCbaUQuZ

[From the Industry] New system launched that visualises and extracts lithium-ion batteries and other hazardous items from waste streams using advanced vision systems and machine-learning technologies. A partnership between University of Manchester academics and Lion Vision, a North West-based Artificial Intelligence (AI) specialist, developed the Lion Vision system. University of Manchester said the system uses real-time analytics to identify where the flammable batteries are in the waste stream and how they should be removed. The team of entrepreneurs behind Lion Vision, along with the University, successfully applied to the Knowledge Transfer Partnerships (KTP) programme run by Innovate UK and was given a grant of more than £125,000 to assist with the project. They partnered with Professor Hujun Yin, Professor of Artificial Intelligence in the School of Engineering, as part of the development process. As waste passes underneath it, the Lion Vision system can analyse over half a million images in a 24-hour window and detect more than 600 cylinder batteries per hour, University of Manchester said. #circulareconomy #sustainability #environmentalresponsibility

ARPA-E’s new CATALCHEM-E program is building an entirely new approach to discovering and developing the next generation of industrial catalysts. Using AI/ML algorithms with data from high throughput experimentation, CATALCHEM-E aims to drastically speed up catalyst discovery. With $35M in funding up for grabs, we’re seeking innovative R&D methods to create 10x faster workflows. Submit a concept paper for CATALCHEM-E by the deadline on Tuesday, December 17, 2024, at 9:30 AM ET: https://lnkd.in/dNp2QbBc