UC Berkeley Sutardja Center for Entrepreneurship and Technology (SCET)'s Recent LinkedIn Posts

🎉 Celebrating 𝟳𝟬 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗔𝗜 & 𝟲𝟬𝟬 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗞𝗨 𝗟𝗲𝘂𝘃𝗲𝗻 🎉  Join us from 𝗔𝘂𝗴𝘂𝘀𝘁 𝟯𝟭 𝘁𝗼 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟮, 𝟮𝟬𝟮𝟱, for a unique event that bridges centuries of academic heritage with the forefront of research, education, and innovation in artificial intelligence.    📍 𝗟𝗲𝘂𝘃𝗲𝗻.𝗔𝗜 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 📅 𝗔𝘂𝗴𝘂𝘀𝘁 𝟯𝟭 – 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟮, 𝟮𝟬𝟮𝟱 🌐 ai.kuleuven.be/600yearskul    This conference offers a unique opportunity to:  𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝘁𝗮𝗹𝗸𝘀 𝗯𝘆 𝗿𝗲𝗻𝗼𝘄𝗻𝗲𝗱 𝗔𝗜 𝗣𝗶𝗼𝗻𝗲𝗲𝗿𝘀: Hear from leading minds like Pieter Abbeel, Guy Van den Broeck, Sophie V. Vandebroek, Walter Daelemans, Mark Coeckelbergh, Marian Verhelst, Marc Pollefeys, and Lorelien Hoet.  𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗮 𝗮𝗻𝗱 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆: Explore cutting-edge AI research from KU Leuven's AI labs and innovations from industry partners.  𝗥𝗲𝗳𝗹𝗲𝗰𝘁 𝗼𝗻 𝗔𝗜'𝘀 𝗝𝗼𝘂𝗿𝗻𝗲𝘆:Discuss the evolution of AI over the past 70 years and envision its future trajectory.    Whether you're an AI researcher, industry professional, policymaker, or enthusiast, this event is designed to inspire and foster meaningful connections.    🔗 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗡𝗼𝘄: ai.kuleuven.be/600yearskul    Let's shape the future of AI together!

𝐎𝐧 𝐬𝐭𝐚𝐠𝐞 𝐚𝐭 𝐭𝐡𝐞 𝐔𝐁𝐀 𝐓𝐫𝐞𝐧𝐝𝐬 𝐃𝐚𝐲, Pieter Abbeel 🤩 Professor and Director of the Robot Learning Lab at UC Berkeley, Pieter is at the heart of the AI revolution and is to the world of AI what Taylor Swift is to pop music 😉 The theme of his speech? Trends in Technology. How can AI have a positive impact on all of us? Pieter's interest lies in the development of an AI capable of really improving our lives, in particular an AI intelligent enough to help us with the physical work we still have to do. How will AI evolve over the next few years? What will the world look like in the future? What if AI became smarter than us? 🤔 Curious about Pieter's view on AI? Don't wait any longer and get your tickets for the UBA Trends Day here: https://trendsday.be/nl/ More insights about Pieter's presentation: https://lnkd.in/eU2ur498 #Technology #AI #Trends #UBAtd #Trendsday

The future of AI isn’t just about the tech—it’s about the leadership behind it. 🚀 We are thrilled to announce the AI Leadership Accelerator at UC Berkeley College of Engineering, happening April 13–15, 2026. This 3-day executive-intensive is designed for leaders who are ready to move beyond the hype and into high-impact AI strategy. Led by world-renowned faculty directors Pieter Abbeel (Visionary & Global AI Leader) and David Gallacher (Business Strategy Expert), you will gain the frameworks necessary to: ➡️ Build a robust AI roadmap for your enterprise. ➡️ Navigate complex governance and ethical frameworks. ➡️ Drive innovation across every business function. Join us in person at University of California, Berkeley to learn from the minds shaping the future of the industry. The countdown is on - https://hubs.ly/Q043Y5Z80 #ai #leadership #ucberkeley #executiveeducation #digitaltransformation #innovation

Gisteren was het verzamelen geblazen in RADar Learning & innovation Centre AZ Delta voor een nieuwe sessie van TRansformers, het netwerkevent georganiseerd door ARhus, Stad Roeselare en Groep Gidts vzw. Met bijdragen van sprekers Karl Dujardin, Pieter Abbeel en Peter De Jaeger over de impact van artificiële intelligentie, gevolgd door een panelgesprek gemodereerd door ANNICK RUYTS, deed TRansformers precies datgene waarvoor het event in het leven geroepen werd: de geesten verruimen en kennis delen. #AI #artificiëleintelligentie #TRansformers #VANRSL #innovatie #transformatie #ondernemen

Feeling stuck making strategic decisions? Overwhelmed by data? Unlock executive potential with our AI for the C-Suite program. Enroll now to harness the power of AI-driven insights, drive innovation, and lead your organization into the future! 📈 https://bit.ly/4cm9fmZ UC Berkeley College of Engineering #AIForCSuite #ExecutiveTraining #AILeadership #Innovation #BerkeleyExecutiveEducation #UCBerkeley #CLevelExecutives #AIDeepDive #StrategicAI

visual intelligence graduating from your phone to your home!

Congratulations to John Schulman (Ph.D. ’16), a former grad student in BAIR advised by Pieter Abbeel, recognized with the Mark Bingham Award for Excellence in Achievement by Young Alumni 🎉 🎉 Huge congrats as well to Professor Ion Stoica, faculty of BAIR, for receiving the Fiat Lux Faculty Award — a well-deserved honor for his outstanding contributions to the field and to the Berkeley community. We're incredibly proud to see BAIR excellence celebrated at the 2025 UC Berkeley Achievement Awards! 🐻💙💛 #UCBerkeley #AchievementAwards #BerkeleyAI #BAIR #BerkeleyForLife

AI is transforming industries, and now is the time for leaders to harness its potential. At our recent webinar, AI expert Dominique Shelton Leipzig shared how businesses can responsibly and profitably leverage AI. Here are the top 5 takeaways: 🚀 Unlock Explosive Business Growth with AI AI offers leaders the opportunity to drive responsible, sustainable growth while mitigating risks. With the right strategies, companies can unlock new avenues for success. ⚠️ Beware the AI Pitfalls: Avoid Costly Mistakes Improper AI oversight can lead to biased algorithms or embarrassing AI behavior. Governance and value alignment are essential to ensure AI remains a tool for good. 📜 Stay Ahead with Cutting-Edge AI Governance AI tools must be reviewed for accuracy and not taken at face value. Implement effective governance by monitoring AI outputs, ensuring alignment with company standards, and addressing risks before they escalate. 💼 The AI Revolution is Here: Reshape Your Workforce AI should enhance, not replace, human expertise. To stay competitive, focus on mastering AI tools and integrating them into your workflow. The real challenge is not AI itself, but being outpaced by those who harness its power better. 📐 Build Robust AI Frameworks with Ethical Design Design AI systems with built-in ethical considerations from the start. This means integrating fairness, accountability, and transparency into the development process to mitigate risks and enhance trust in AI technologies. ➡️ Want to dive deeper and become a leader in AI strategy? Join us for UC Berkeley’s AI for the C-Suite program, designed to help corporate leaders develop winning AI strategies that drive growth while ensuring responsible AI implementation: https://hubs.li/Q02Phg2P0 Kristina Susac Dara McKenzie Eva Visscher-Simon Keith McAleer David Gallacher #AI #UCBerkeley #BusinessGrowth #TechLeadership #AIForLeaders

We’re excited to announce our fundraising round, which includes leading media and AI investors who believe in our mission to create new infrastructure that allows AI agents and data scrapers to efficiently pay for website content. It’s a win-win for websites and AI. The nearly $7M round was led by Liu Jiang's Sunflower Capital, with AIX Ventures, Lerer Hippeau, Liquid 2 Ventures and Operator Collective 🔆 https://lnkd.in/eeSguKS5

Unlock AI's potential for your business in just 2 days! 🔓 Join top executives for our AI for the C-Suite program at University of California, Berkeley. This intensive 2-day course will equip you with the strategic knowledge and practical tools needed to integrate AI into your business. Register now and take the first step toward a future of innovation and efficiency! https://bit.ly/4cm9fmZ UC Berkeley College of Engineering Dominique Shelton Leipzig Brandie Nonnecke, PhD David Gallacher Pieter Abbeel Ali Ghodsi Eva Visscher-Simon Keith McAleer Dara McKenzie Kristina Susac Pieter Abbeel #AI #Leadership #ExecutiveEducation #UCBerkeley

Bloomberg has just released their second annual AI leaderboard, recognizing Covariant alongside AI innovators and industry leaders like OpenAI, Anthropic, Perplexity, Scale AI, and Cohere. We're honored to be featured as the leading company pioneering AI for the physical world, and remain motivated to transform industries through intelligent robotic automation. https://lnkd.in/gNbG72PN

When robots encounter new or unexpected scenarios in dynamic environments like warehouses, language can provide the key to real-time adaptability and reliability. Whether it's a seasonal item appearing in a bin or excessively dirty produce, you can simply say "Hey, this is an onion skin, stop picking on it" - and the robot instantly adjusts its behavior. Hear from our research scientist Anusha Nagabandi on how our latest Robotics Foundation Model, RFM-1, allows robots to understand and communicate with warehouse staff in natural language, enabling immediate behavioral changes on the fly.

Introducing RFM-1, our Robotics Foundation Model giving robots human-like reasoning capabilities. RFM-1 is a leap forward in building generalized AI models that can accurately simulate and operate in demanding conditions. Our approach of combining the largest and most comprehensive real-world robot dataset and a vast collection of internet data is unlocking new levels of flexibility and reliability in warehouse operations — while opening the door to broader industry applications and robotic form factors. Dive in to learn more: https://lnkd.in/gfTDet5E

Today we're excited to announce a historic $243 million Series C round, co‑led by Oak HC/FT and Andreessen Horowitz (a16z). This raise accelerates our mission to support patients, clinicians, and health systems with the world's leading AI platform for documentation, coding, and clinical workflow. Watch our video to learn how we're partnering with leading health systems and academic medical centers to transform the future of care. Full announcement: https://hubs.li/Q03zh6dk0 #ai #healthcare #healthtech #innovation #fundraising

Due to other obligations, this will be the last in-person class on AI for execs I'll be involved in for a long while to come. Don't miss this last one! Should be a really great one, joined by my fabulous colleagues Stuart Russell, Anca Dragan, Ion Stoica, Brandie Nonnecke, PhD, Dominique Shelton Leipzig, David Gallacher.

Superexcited about what's ahead, if you want to move the frontier of AI, join us!  AGI-SFLab-Jobs@amazon.com

Two members of the UC Berkeley computer science community are recognized with UC Berkeley Achievement Awards: Professor Ion Stoica and Alum John Schulman! These awards will be presented by the UC Berkeley Foundation and Cal Alumni Association at the Berkeley Charter Gala on May 22. Congratulations to Ion and John and thanks for your ongoing efforts! 🎉 🔗 https://lnkd.in/gQAmpqbU University of California, Berkeley, UC Berkeley Electrical Engineering & Computer Sciences (EECS), Cal Alumni Association | UC Berkeley

✨ Announcing Foxglove 2.0 ✨ We’re setting a new standard in robotics observability by making it faster, easier, and cheaper to understand how your machines sense, think, and act: 🤝  Streamlined UI for smoother robotics observability 📡  Automatic data offload through Foxglove Agent 💳  Updated pricing plans to make Foxglove accessible for teams of all sizes 🔎  Changes to our open-source strategy Read all the Foxglove 2.0 details here: https://lnkd.in/gihcjH3E

Research blog post on Covariant's RFM-1 now available here. We go deeper into RFM-1 and the unique data from Covariant's commercial robotic deployments we leveraged to train RFM-1 https://lnkd.in/gvscqrNr

In the summer of 2021, OpenAI quietly shuttered its robotics team, announcing that progress was being stifled by a lack of data necessary to train robots in how to move and reason using artificial intelligence. Now three of OpenAI’s early research scientists say the startup they spun off in 2017, called Covariant, has solved that problem and unveiled a system that combines the reasoning skills of large language models with the physical dexterity of an advanced robot. The new model, called RFM-1, was trained on years of data collected from Covariant’s small fleet of item-picking robots that customers use in warehouses around the world, as well as words and videos from the internet. In the coming months, the model will be released to Covariant customers. The company hopes the system will become more capable and efficient as it’s deployed in the real world.

Five years of groundbreaking teamwork. Our partnership with KNAPP has yielded 26 global customers and dozens of live robotic stations operating on 3 continents. “We decided to run some tests together and challenge Covariant’s artificial intelligence. The results were very impressive. That’s why we decided to partner and combine our robot and logistics expertise with Covariant’s AI,” - Peter Puchwein, Vice President of Research & Development at KNAPP Read the press release: https://lnkd.in/ehqnjzUn

Yes, 2024 is shaping up a big year for robotics! Introducing Covariant's RFM-1, which just like Sora can generate video, but RFM-1 does it for robotic interaction with the world. yes, these are all generated!

Today, we’re introducing Ideogram Canvas, an infinite creative board for organizing, generating, editing, and combining images. Bring your face or brand visuals to Ideogram Canvas and use industry-leading Magic Fill and Extend to blend them with creative, AI-generated content. Ideogram Canvas is a newly designed interface, built from the ground up, to enhance your iterative creative process with the magic of AI. Ideogram Canvas will empower you to bring your creative vision to life with remarkable speed and precision. Magic Fill, our inpainting tool, allows you to edit specific regions of your images to replace objects, add text, fix imperfections, change backgrounds, and more. You can zoom into portions of images to generate new high-resolution details. Extend, our outpainting tool, allows you to expand images beyond their original borders while maintaining a consistent style. Adjust the image composition and aspect ratio to fit any screen size without compromising the original content. Read our full blog post on Ideogram Canvas at https://lnkd.in/dbSExyqm

Today we're excited to announce a historic $243 million Series C round, co‑led by Oak HC/FT and Andreessen Horowitz (a16z). This raise accelerates our mission to support patients, clinicians, and health systems with the world's leading AI platform for documentation, coding, and clinical workflow. Watch our video to learn how we're partnering with leading health systems and academic medical centers to transform the future of care. Full announcement: https://hubs.li/Q03zh6dk0 #ai #healthcare #healthtech #innovation #fundraising

Introducing Asimov: the best-in-class code research agent, built for teams and organizations. Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov. In blind tests, Asimov's answers to complex questions were preferred 60 - 80% of the time. Asimov works because… 1] Asimov builds a single source of truth for eng knowledge. Asimov looks at more than just code. It pulls knowledge from your codebase, your team’s messages, your project management tools, and more. 2] Asimov captures team-wide tribal knowledge with memories. Asimov learns from expert feedback and captures tribal knowledge stored in engineers' minds (e.g. "asimov, remember X works in Y way"). Once an update is made it benefits the entire team. 3] Asimov is designed to ingest a lot of context. Today agent designs fall into two categories: RAG or agentic search. Both struggle with large codebases. Asimov uses a new multi-agent design (a big reasoner with small retrievers) to ingest large codebases. Sign up for the waitlist: https://lnkd.in/eeuxFHyK.

Introducing Mixed Reality Testing: The comprehensive safety solution the AV industry needs. We've developed a totally new paradigm that combines real trucks with virtual scenarios generated in real-time by Onboard Waabi World. Like augmented reality goggles that blend physical and virtual worlds, MRT enables the Waabi Driver to drive autonomously down a real test track while simultaneously sensing and reacting to  intelligent, simulated actors that create complex safety critical situations. MRT eliminates the traditional constraints of closed-course testing. We can conduct exponentially more tests than ever before and in a continuous fashion, with extraordinary levels of diversity and realism. Traffic jams materialize instantly, pedestrians jaywalk unpredictably, aggressive drivers weave through traffic, children dart into the street - all tested safely without real-world consequences. This breakthrough builds a foundation for AVs we can truly trust and accelerates the path to safer roads for everyone. See MRT in action: https://lnkd.in/guaVvrCU

Today we're sharing the next phase of Reflection. We're building frontier open intelligence accessible to all. We've assembled an extraordinary AI team, built a frontier LLM training stack, and raised $2 billion. Technological and scientific progress is driven by values of openness and collaboration. The internet, Linux, and the protocols and standards that underpin modern computing are all open. This isn't a coincidence. Open software is what gets forked, customized, and embedded into systems worldwide. It's what universities teach, what startups build on, what enterprises deploy. Open science enables others to learn from the results, be inspired by them, interrogate them, and build upon them in order to push the frontier of human knowledge and scientific advancement. AI got to where it is today through scaling ideas (e.g. self-attention, next token prediction, reinforcement learning) that were shared and published openly. Now AI is becoming the technology layer that everything else runs on top of. The systems that accelerate scientific research, enhance education, optimize energy usage, supercharge medical diagnoses, and run supply chains will all be built on AI infrastructure. But the frontier is currently concentrated in closed labs. If this continues, a handful of entities will control the capital, compute, and talent required to build AI, creating a runaway dynamic that locks everyone else out. There's a narrow window to change this trajectory. We need to build open models so capable that they become the obvious choice for users and developers worldwide, ensuring the foundation of intelligence remains open and accessible rather than controlled by a few. Over the last year, we've been preparing for this mission. We’ve assembled a team who have pioneered breakthroughs including PaLM, Gemini, AlphaGo, AlphaCode, AlphaProof, and contributed to ChatGPT and Character AI, among many others. We built something once thought possible only inside the world’s top labs: a large-scale LLM and reinforcement learning platform capable of training massive Mixture-of-Experts (MoEs) models at frontier scale. We saw the effectiveness of our approach first-hand when we applied it to the critical domain of autonomous coding. With this milestone unlocked, we're now bringing these methods to general agentic reasoning. We've raised significant capital and identified a scalable commercial model that aligns with our open intelligence strategy, ensuring we can continue building and releasing frontier models sustainably. We are now scaling up to build open models that bring together large-scale pretraining and advanced reinforcement learning from the ground up. There is a window of opportunity today to build frontier open intelligence, but it is closing and this may be the last. If this mission resonates, join us.

With over 219,210 research citations, our research team is at the forefront of AI Robotics innovation, setting a new standard for what Robotics Foundation Models can achieve. They're actively developing breakthrough technologies to solve the toughest warehouse operations challenges while opening the door to new applications and industries.

Last week, Geoff Hinton, a Godfather of modern AI, met our research team and toured Covariant's AI Robotics lab to experience our pioneering Robotic Foundation Model which is bringing modern AI into the physical world. Much of the groundbreaking advancements we've witnessed over the past decade, spanning from computer vision, speech recognition, protein folding prediction, and beyond, hinge on the deep learning work conducted by Geoff, who has fundamentally changed the focus and direction of the field.

Covariant's RFM-1 (Robotics Foundation Model Generation 1) is a multimodal any-to-any sequence model. RFM-1 tokenizes 5 modalities: video, keyframes, text, sensory readings, robot actions. Any-to-any means RFM-1 can handle any subset on the input and any subset on the output. For example RFM-1 can power a robot to look at the current situation and generate the right actions. Or it can look at the current situation and consider a sequence of actions and generate a video prediction of what'll happen next. And it can even be instructed and conversed with in plain English!

Peter Chen sat down with Edward Ludlow on Bloomberg to discuss how RFM-1 equips robots with human-like reasoning and a deeper understanding of physics and language. Watch the news segment to learn why this Robotic Foundation Model is an AI breakthrough that will spur productivity and economic growth for decades to come.

In dynamic real-world settings, robots often encounter unforeseen situations – damaged products, manufacturing defects, and novel seasonal items with complex packaging. With the latest RFM-1 scaling update, our robots are even better equipped to adapt intelligently to these challenges. RFM-1's newest in-context reasoning capabilities enable our robots to continuously learn and self-improve by reflecting on their most recent actions and outcomes. This self-learning ability allows them to dynamically modify their approach, whether handling unique shapes or adjusting for defects. As a result, the robots ensure higher reliability across diverse applications while significantly reducing ramp times for new systems, scenarios, or items. Discover more: https://lnkd.in/gpvgUskp