1. Startups vs. Big Tech: Silicon Valley's ethos of innovation through disruption by startups is largely being replaced by a trend where startups are often acquired by big tech companies instead of growing to become independent challengers. 2. Co-opting Disruption: Big tech companies use their resources and influence to neutralize potential startup competitors by integrating them into their ecosystems, often redirecting their innovative potential towards reinforcing the status quo rather than disrupting it. 3. Strategies of Influence: These companies deploy strategies such as taking board seats in startups, providing them with funding, and granting access to critical data, all aimed at steering startups away from paths that could threaten their dominance. 4. Impact on Innovation: This trend is stifling meaningful innovation and competition, as startups focus on less ambitious projects that align with the interests of big tech, slowing the pace of technological advancement and economic growth. 5. Regulatory Response: The article suggests that current regulatory approaches might be insufficient to address these subtler forms of anti-competitive behavior and calls for a reevaluation of antitrust perspectives to foster a more competitive and innovative tech landscape. https://lnkd.in/dk7ypyNP
DeepTech Explorers
Space Research and Technology
Connect with the top Stealth mode companies and discover new frontiers in tech and space research via DeepTech Explorers
About us
DeepTech Explorers: Your gateway to the top Stealth mode companies. Join DeepTech Explorers to gain access to a community of like-minded individuals and resources that can help you achieve your career goals in deep tech and space research. As a member, you will have the opportunity to: 1. Join a research group: Look for research groups or labs that focus on deep tech and areas such as space research. This will give you hands-on experience and provide you with opportunities to work on real-world projects. 2. Conduct your own research: Once you have gained enough knowledge and experience, you can start conducting your own research. This could involve designing and testing, developing, or optimizing existing work. 3. Publish your work: Publish your research in scientific journals and conferences to share your findings with the broader scientific community. This will help you establish yourself as an expert in the field and open up opportunities for collaboration and further research. 4. Join a real-world project: Seek opportunities to work on real-world projects outside of academia, such as internships, research fellowships, or industry collaborations. This will allow you to apply your knowledge and gain valuable work experience. 5. Connect with relevant employers: Network with potential employers in your field of interest, attend job fairs, or connect with alumni from your institution to learn about job opportunities and make valuable connections. Our community offers a unique opportunity to connect with peers, mentors, and employers in the deep tech and space research fields. Whether you are just starting your journey or are already an expert in the field, DeepTech Explorers can help you take your career to the next level.
- Industry
- Space Research and Technology
- Company size
- 11-50 employees
- Headquarters
- London
- Type
- Partnership
- Founded
- 2023
- Specialties
- DeepTech and SpaceTech
Locations
-
Primary
Get directions
London, GB
Updates
-
DeepTech Explorers reposted this
My brain doesn't want to believe this is real. China is stepping things up. Enter Unitree's G1: the $16,000 robot that's mass production ready. Here's the breakdown: • 1.32m tall, 35kg weight • 23 degrees of freedom for human-like movement • 2m/s walking speed (it can keep up with you) • 3D LiDAR and depth camera • Voice command capability • 2-hour battery life The G1 robot can also handle a payload of 10kg. I can’t wait for a pair of these to rock up when I next move house. My take: We had the browser in 1994, the smartphone in 2008, and generative AI in 2022. AI is now getting a body. I wonder what this price point will be when Figure 02 or Tesla's Optimus walk into the home. Competition means better products for us as the consumer. P.S. Follow me Alex Banks for daily AI highlights & insights, hit the 🔔 to never miss a post.
-
DeepTech Explorers reposted this
-
DeepTech Explorers reposted this
Investor @ Foundamental | BitBuilders host | Investing in stuff that is hard to build
2.5 million short in just 10 years. In the next decade, the US and Europe combined will be short of more than 2.5 million construction workers. That is why robotics is one of the most exciting frontiers for construction and traditional industries in general. When Owen and Martin asked me to host a robotics podcast for Bricks & Bytes it took me nanosecond to jump onboard. I'll be interviewing the brightest minds and the most successful entrepreneurs building robotics for the built world, starting with Troy Demmer at Gecko Robotics. BitBuilders is out on all major platforms on August 21st! Enjoy the trailer!
-
DeepTech Explorers reposted this
𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝘀 𝗶𝗻 𝗛𝗨𝗚𝗘 𝘁𝗿𝗼𝘂𝗯𝗹𝗲!🚨 German AI lab Black Forest Labs just dropped their new 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 (!!!) AI model FLUX.1 and it completely outperforms Midjourney. All you need to know: ⬇️ → The German-based company was founded by the original team that launched Stable Diffusion and recently left Stability AI (e.g. Robin Rombach, Andreas Blattmann, and Dominik Lorenz). → The company's first product features their text-to-image FLUX.1 models that are built on what it calls a "hybrid architecture," combining transformers and diffusion techniques. The model is available in 3 variants: 1️⃣ Flux 1 Pro: [API Access](https://docs.bfl.ml/) 2️⃣ Flux 1 Dev: Open weight, but non-commercial license 3️⃣ Flux 1 Schnell: Efficient, 4-step diffusion model with an open-source Apache 2 license → The quality looks amazing (see pictures below) and FLUX.1 seems very strong at generating human hands, which was a weak spot in earlier image-synthesis models like Stable Diffusion 1.5 due to a lack of training images focused on hands. → Black Forest Labs also announced with their launch a $31 million Series Seed funding round led by Andreessen Horowitz. Along with that the company brought on high-profile advisers, including entertainment executive and former Disney President Michael Ovitz and AI researcher Matthias Bethge. → Though text-to-image generation is Black Forest’s current focus, the company plans to expand into video generation next (competing with OpenAI’s Sora, Runway’s Gen-3 Alpha, and Kuaishou’s Kling). In my view this is crazy to see that they were stealth-building this in just a few months and already outperforming Midjourney, DALL-E 3, etc. It’s unbelievable how fast things are moving. Must be a huge team effort to build up clusters, infrastructure and datasets to launch so fast. In addition, another contribution towards the open-source AI ecosystem. After Stability imploded, open-source AI has been missing a good image-gen company. Kudos to the Black Forest Labs team! As a German/European, I’m especially happy to see that we get this innovation here! Excellent work, guys. 🇩🇪 🇪🇺 🏎️ 👉You can have a play with it here: https://lnkd.in/eYuPV6hg 👉 You can find the weights & inference code here: https://lnkd.in/d_bPiYq7 #midjourney #llm #genai #flux
-
-
-
-
-
+2
-
-
Forget RAG, welcome Agentic RAG
Forget RAG, welcome Agentic RAG 𝗡𝗮𝘁𝗶𝘃𝗲 𝗥𝗔𝗚 In Native RAG, the most common implementation nowadays, the user query is processed through a pipeline that includes retrieval, reranking, synthesis, and generation of a response. This process leverages retrieval and generation-based methods to provide accurate and contextually relevant answers. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 Agentic RAG is an advanced, agent-based approach to question answering over multiple documents in a coordinated manner. It involves comparing different documents, summarizing specific documents, or comparing various summaries. Agentic RAG is a flexible framework that supports complex tasks requiring planning, multi-step reasoning, tool use, and learning over time. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 - Document Agents: Each document is assigned a dedicated agent capable of answering questions and summarizing within its own document. - Meta-Agent: A top-level agent manages all the document agents, orchestrating their interactions and integrating their outputs to generate a coherent and comprehensive response. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 - Autonomy: Agents act independently to retrieve, process, and generate information. - Adaptability: The system can adjust strategies based on new data and changing contexts. - Proactivity: Agents can anticipate needs and take preemptive actions to achieve goals. Applications Agentic RAG is particularly useful in scenarios requiring thorough and nuanced information processing and decision-making. A few days ago, I discussed how the future of AI lies in AI Agents. RAG is currently the most popular use case, and with an agentic architecture, you will supercharge RAG!
-
-
DeepTech Explorers reposted this
Space | Satellites Tech | Space Security | System Engineering|Knowledge & Technology Transfer
📚 Sharing this valuable book: “Low Earth Orbiting Satellite Design” 🛰️🚀 If you’re eager to dive into the world of satellite engineering, this book is a fantastic resource! It guides you through the essentials of designing LEO spacecraft, blending theory with hands-on challenges that let you apply what you’ve learned. Whether you’re a newcomer or looking to sharpen your skills in satellite development, this book offers practical tools and insights to turn your ideas into reality. Highly recommended for anyone passionate about satellite technology! #SatelliteDesign #LEO #SpaceEngineering #SpaceTechnology #Aerospace #DOD #NASA #ESA #Space #spacetech #Engineering #innovation #spacex #nationalsecurity #HR #management #HumanResources #digitalmarketing #technology #creativity #Entrepreneurship #Innovation #Businessgrowth #Sustainabledevelopment #Economicpolicy
-
DeepTech Explorers reposted this
As the conflict in #Ukraine unfolds, my colleague Fiona Murray's latest piece in MIT Technology Review is a reminder of how technological leadership impacts global events. Along with co-author Edlyn V. Levine, PhD, Fiona delves into the challenges and opportunities facing the US in critical technology investment. A must read: https://lnkd.in/efeW5HnM
-
-
DeepTech Explorers reposted this
I help companies solve problems using image based solutions - Chief Evangelist & Developer Advocate @ EveryPoint
NVIDIA has quietly been building one of the most pivotal uses for radiance fields. Deployed as part of fVDB - a new deep-learning framework for generating AI-ready virtual representations of the real world. What does this mean? Large scale digital twins that will power the next generation of machine vision applications (self driving cars, drones, robots, even weather prediction models) This video is just showing you a taste of what is possible. fVDB will soon be available as NVIDIA NIM inference microservices, including: fVDB Mesh Generation NIM — Generates digital 3D environments of the real world fVDB NeRF-XL NIM — Generates large-scale NeRFs in OpenUSD using Omniverse Cloud APIs fVDB Physics Super-Res NIM — Performs super-resolution to generate an OpenUSD-based, high-resolution physics simulation Learn more at: https://lnkd.in/gNWCUEzX #3D #AI #Geospatial
-
DeepTech Explorers reposted this
𝐓𝐇𝐈𝐒 𝐕𝐈𝐃𝐄𝐎 𝐈𝐒 𝐍𝐎𝐓 𝐑𝐄𝐀𝐋… 𝐚𝐧𝐝 𝐈 𝐥𝐨𝐯𝐞 𝐢𝐭 ❤️ ! NVIDIA released 𝐈𝐬𝐚𝐚𝐜 𝐒𝐢𝐦 𝟒.𝟎 today. A major update, here are my personal picks + links 📑 : It's mind-boggling the rate at which NVIDIA is releasing software for the robotics community, quite some blocks are open source, and all are free. ➡ Isaac Sim is totally, feature complete freely available. ➡ Based on NVIDIA Omniverse, the 3D simulation platform of NVIDIA ➡ 𝐈𝐬𝐚𝐚𝐜 𝐋𝐚𝐛 graduates (BSD-3 license!). Formerly Isaac Gym, a fully physics enabled simulation environment, for accelerated reinforcement learning and motion planning ➡ 𝐏𝐡𝐲𝐬𝐗 (GPU accelerated physics, BSD-3 license!) upgraded from 5.1 to 5.4: ~2 years of updates incorporated. ➡ Many new assets freely to use: - SICK Sensor Intelligence safety lidars, - Large warehouses, - Universal Robots UR20 and UR30, - Boston Dynamics Spot - Unitree Robotics H1 - Agility Robotics Digit - Sanctuary AI Phoenix ➡ Many updates to ROS 2 integration (ROS 1 is now deprecated) Full release notes here: https://lnkd.in/eGAftWUx Isaac Lab Documentation: https://lnkd.in/ewj2s78h Isaac Lab Environments: https://lnkd.in/ek3cDecj PhysX repo: https://lnkd.in/eTQt7xkS