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3 Robots 1 course. ROBOstart: a new course for robotic beginners. Immersive labs with biodegradable hydrogel models Guy's and St Thomas' IMRA Surgical - also on Bluesky Huge thanks to Intuitive Medtronic Digital Surgery MedtronicEU CMR Surgical future dates tba Professor Tony Costello

Ben Challacombe

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38,596 görüntüleme • 2 yıl önce •via X (Twitter)

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Omar El-Taji profil fotoğrafı

Omar El-Taji2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 Great way to incorporate early robotic training @RaDiSTCommittee

Kirsten Larkins profil fotoğrafı

Kirsten Larkins2 yıl önce

@HelenMohan1 @GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 Multiplatform training in action! Super exciting to see 🤩

Dr Nabakanta Sharma profil fotoğrafı

Dr Nabakanta Sharma2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 My Favourite

Sandy Gujral profil fotoğrafı

Sandy Gujral2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 💪🏿💪🏿

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HARESH G THUMMAR2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 Great Ben 👍👍

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Matt Harris2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 Looks great!

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Shekhar Biyani2 yıl önce

@GSTTnhs @IMRASurgical @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 Wow what a set up to teach 👏👏👏👏👏👏

IMRA profil fotoğrafı

IMRA2 yıl önce

@GSTTnhs @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 #imrasurgical@ Guy’s and St Thomas’ Trust Great educational experience for all. Thank you @benchallacombe

IMRA profil fotoğrafı

IMRA2 yıl önce

@GSTTnhs @IntuitiveSurg @TouchSurgery @medtroniceu @CMRSurgical @ProfessorTonyC1 If you want to know about our hydrogel models and courses check out:

Benzer Videolar

ROBOstart 7 ⁦Guy's and St Thomas'⁩ 3 different Robots 3 different simulators. Everyone training! Thanks to ⁦Intuitive⁩ ⁦Medtronic Digital Surgery⁩ ⁦CMR Surgical⁩ ⁦Proximie⁩ ⁦IMRA Surgical - also on Bluesky⁩

ROBOstart 7 ⁦Guy's and St Thomas'⁩ 3 different Robots 3 different simulators. Everyone training! Thanks to ⁦Intuitive⁩ ⁦Medtronic Digital Surgery⁩ ⁦CMR Surgical⁩ ⁦Proximie⁩ ⁦IMRA Surgical - also on Bluesky⁩

Ben Challacombe

10,662 görüntüleme • 6 ay önce

I am humbled to share a significant milestone in pancreatic surgery: I recently performed the first-ever da Vinci single-port robotic distal pancreatectomy and splenectomy without an additional incision for pancreatic cancer in the United States, approved by both the Institutional Review Board and IDE from the FDA through a 2cm incision inside the belly button leaving no additional scar. This pioneering procedure not only achieved negative margins but also allowed for the thorough harvesting of all local lymphatics, a critical factor in ensuring comprehensive cancer treatment. I am grateful to report that the patient is doing exceptionally well, and it was a privilege to see him in the clinic several days post-operation. The images included illustrate the operating room moments and a snapshot of our follow-up clinic visit with my remarkable ARNP Dana Manzi and myself. This journey underscores the importance of innovation in surgical techniques and the profound impact they can have on patient outcomes. Thank you to everyone who has supported and believed in this work. THANK YOU INTUITIVE SURGICAL FOR DEVELOPING SUCH AN INCREDIBLE SURGICAL TECHNOLOGY. #pancreaticcancer #DaVinciSinglePortRobot #women #roboticsurgery #innovations #surgery AdventHealth AdventHealthWFL AdventHealthCFL BayCare HCA Healthcare Moffitt Cancer Center Tampa General Hospital USF Health Medicine USF Health UCF Health FSU Seminoles FLORIDA UMiami Health System Miller Medicine FIU Intuitive Medtronic Johnson & Johnson Olympus Boston Scientific NVIDIA Women in Surgery WomenSurgeons SAGES is in Vegas in 2027! AHPBA E-AHPBA IHPBA American College of Surgeons Journal of the American College of Surgeons (JACS) Florida Lancer SSAT Society of Robotic Surgery | SRS Society of Laparoscopic & Robotic Surgery (SLS) Pancreatic Cancer Action Pancreatic Cancer North America

I am humbled to share a significant milestone in pancreatic surgery: I recently performed the first-ever da Vinci single-port robotic distal pancreatectomy and splenectomy without an additional incision for pancreatic cancer in the United States, approved by both the Institutional Review Board and IDE from the FDA through a 2cm incision inside the belly button leaving no additional scar. This pioneering procedure not only achieved negative margins but also allowed for the thorough harvesting of all local lymphatics, a critical factor in ensuring comprehensive cancer treatment. I am grateful to report that the patient is doing exceptionally well, and it was a privilege to see him in the clinic several days post-operation. The images included illustrate the operating room moments and a snapshot of our follow-up clinic visit with my remarkable ARNP Dana Manzi and myself. This journey underscores the importance of innovation in surgical techniques and the profound impact they can have on patient outcomes. Thank you to everyone who has supported and believed in this work. THANK YOU INTUITIVE SURGICAL FOR DEVELOPING SUCH AN INCREDIBLE SURGICAL TECHNOLOGY. #pancreaticcancer #DaVinciSinglePortRobot #women #roboticsurgery #innovations #surgery AdventHealth AdventHealthWFL AdventHealthCFL BayCare HCA Healthcare Moffitt Cancer Center Tampa General Hospital USF Health Medicine USF Health UCF Health FSU Seminoles FLORIDA UMiami Health System Miller Medicine FIU Intuitive Medtronic Johnson & Johnson Olympus Boston Scientific NVIDIA Women in Surgery WomenSurgeons SAGES is in Vegas in 2027! AHPBA E-AHPBA IHPBA American College of Surgeons Journal of the American College of Surgeons (JACS) Florida Lancer SSAT Society of Robotic Surgery | SRS Society of Laparoscopic & Robotic Surgery (SLS) Pancreatic Cancer Action Pancreatic Cancer North America

Sharona B. Ross

27,526 görüntüleme • 2 ay önce

We recently sat down with Brett Adcock at Figure to discuss Helix 02, the future of Humanoids, and Brett's vision for Figure. It's a full blown Humanoid takeover. (w/ @DavidBlundin ) (0:00:00) - Neural Nets, Data Moats & The Age of Abundance (0:04:06) - Going All‑In on Neural Nets (0:12:22) - LLMs vs Physics: Why Language Models Can’t Run Robots (0:16:31) - Global Competition & Industry Consolidation (0:24:27) - Helix in Production: Logistics & Long‑Horizon Autonomy (0:30:00) - Scaling Figure 3: Robots Building Robots (0:52:44) - Jarvis‑Style Digital AI (1:02:25) - Healthcare, Surgery & Robots in the Home (1:15:20) - Safety, Privacy & Trusting Robots with Your Family (1:29:37) - Billions of Humanoids & The Global Robot Economy

We recently sat down with Brett Adcock at Figure to discuss Helix 02, the future of Humanoids, and Brett's vision for Figure. It's a full blown Humanoid takeover. (w/ @DavidBlundin ) (0:00:00) - Neural Nets, Data Moats & The Age of Abundance (0:04:06) - Going All‑In on Neural Nets (0:12:22) - LLMs vs Physics: Why Language Models Can’t Run Robots (0:16:31) - Global Competition & Industry Consolidation (0:24:27) - Helix in Production: Logistics & Long‑Horizon Autonomy (0:30:00) - Scaling Figure 3: Robots Building Robots (0:52:44) - Jarvis‑Style Digital AI (1:02:25) - Healthcare, Surgery & Robots in the Home (1:15:20) - Safety, Privacy & Trusting Robots with Your Family (1:29:37) - Billions of Humanoids & The Global Robot Economy

Peter H. Diamandis, MD

174,220 görüntüleme • 6 ay önce

This perspective will be more intuitive. Fourier is building a data acquisition and training platform that integrates non-invasive brain-computer interfaces and humanoid robots. This wealth of data will enhance the intelligence level of GR-3. The goal is for GR-3 to accurately identify the brain intention signals of stroke patients during future rehabilitation training and respond in real time to guide patients in performing rehabilitation movements. For example, lifting the left hand, picking up a block from the table, etc. Of course, GR-3 can also become a life assistant controlled by a human BCI. Imagine that people with mobility impairments could also issue commands to GR-3 via BCI to open the refrigerator and get a drink.

This perspective will be more intuitive. Fourier is building a data acquisition and training platform that integrates non-invasive brain-computer interfaces and humanoid robots. This wealth of data will enhance the intelligence level of GR-3. The goal is for GR-3 to accurately identify the brain intention signals of stroke patients during future rehabilitation training and respond in real time to guide patients in performing rehabilitation movements. For example, lifting the left hand, picking up a block from the table, etc. Of course, GR-3 can also become a life assistant controlled by a human BCI. Imagine that people with mobility impairments could also issue commands to GR-3 via BCI to open the refrigerator and get a drink.

CyberRobo

18,624 görüntüleme • 6 ay önce

New short course on Pretraining LLMs! Developed with Upstage and taught by their CEO Sung Kim and CSO Lucy Park. While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with limited representation in current models. This course walks you through the LLM pretraining pipeline: 1. Data preparation: Learn to source, clean, and prepare training data using HuggingFace. 2. Model architecture: Configure transformer networks, including modifying existing models. 3. Training: Set up and run training using open-source libraries. 4. Evaluation: Benchmark performance using popular evaluation strategies. As an example use case, you'll also compare the output of a base model with its fine-tuned and further pretrained variants, to see the impact of pretraining on a model's ability to write Python. The course also explores an innovative technique called depth up-scaling, which Upstage used to train their Solar model family, reducing pretraining compute costs by up to 70%. This technique works by first duplicating layers of a smaller pretrained model to form a larger model, and then further pretraining the result. Sign up here!

New short course on Pretraining LLMs! Developed with Upstage and taught by their CEO Sung Kim and CSO Lucy Park. While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with limited representation in current models. This course walks you through the LLM pretraining pipeline: 1. Data preparation: Learn to source, clean, and prepare training data using HuggingFace. 2. Model architecture: Configure transformer networks, including modifying existing models. 3. Training: Set up and run training using open-source libraries. 4. Evaluation: Benchmark performance using popular evaluation strategies. As an example use case, you'll also compare the output of a base model with its fine-tuned and further pretrained variants, to see the impact of pretraining on a model's ability to write Python. The course also explores an innovative technique called depth up-scaling, which Upstage used to train their Solar model family, reducing pretraining compute costs by up to 70%. This technique works by first duplicating layers of a smaller pretrained model to form a larger model, and then further pretraining the result. Sign up here!

Andrew Ng

85,695 görüntüleme • 2 yıl önce

New episode with Wes Kao 🏛 Become a better communicator: Specific frameworks to improve your clarity, influence, and impact Wes Kao is a coach, entrepreneur, and advisor. She co-founded Maven 🏛, co-created the altMBA with Seth Godin, and now teaches a popular course on executive communication and influence. Through her course and one-on-one coaching, she’s helped thousands of operators, founders, and product leaders master the art of influence through clear, compelling communication. Known for her surgical writing style and no-BS frameworks, Wes returns to the pod to deliver a tactical master class on becoming a sharper, more persuasive communicator—at work, in meetings, and across your career. Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:

New episode with Wes Kao 🏛 Become a better communicator: Specific frameworks to improve your clarity, influence, and impact Wes Kao is a coach, entrepreneur, and advisor. She co-founded Maven 🏛, co-created the altMBA with Seth Godin, and now teaches a popular course on executive communication and influence. Through her course and one-on-one coaching, she’s helped thousands of operators, founders, and product leaders master the art of influence through clear, compelling communication. Known for her surgical writing style and no-BS frameworks, Wes returns to the pod to deliver a tactical master class on becoming a sharper, more persuasive communicator—at work, in meetings, and across your career. Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

96,180 görüntüleme • 1 yıl önce

An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by Sharon Zhou, VP of AI at AMD. Available now at Post-training is the key technique used by frontier labs to turn a base LLM--a model trained on massive unlabeled text to predict the next word/token--into a helpful, reliable assistant that can follow instructions. I've also seen many applications where post-training is what turns a demo application that works only 80% of the time into a reliable system that consistently performs. This course will teach you the most important post-training techniques! In this 5 module course, Sharon walks you through the complete post-training pipeline: supervised fine-tuning, reward modeling, RLHF, and techniques like PPO and GRPO. You'll also learn to use LoRA for efficient training, and to design evals that catch problems before and after deployment. Skills you'll gain: - Apply supervised fine-tuning and reinforcement learning (RLHF, PPO, GRPO) to align models to desired behaviors - Use LoRA for efficient fine-tuning without retraining entire models - Prepare datasets and generate synthetic data for post-training - Understand how to operate LLM production pipelines, with go/no-go decision points and feedback loops These advanced methods aren’t limited to frontier AI labs anymore, and you can now use them in your own applications. Learn here:

An exciting new course: Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-training, taught by Sharon Zhou, VP of AI at AMD. Available now at Post-training is the key technique used by frontier labs to turn a base LLM--a model trained on massive unlabeled text to predict the next word/token--into a helpful, reliable assistant that can follow instructions. I've also seen many applications where post-training is what turns a demo application that works only 80% of the time into a reliable system that consistently performs. This course will teach you the most important post-training techniques! In this 5 module course, Sharon walks you through the complete post-training pipeline: supervised fine-tuning, reward modeling, RLHF, and techniques like PPO and GRPO. You'll also learn to use LoRA for efficient training, and to design evals that catch problems before and after deployment. Skills you'll gain: - Apply supervised fine-tuning and reinforcement learning (RLHF, PPO, GRPO) to align models to desired behaviors - Use LoRA for efficient fine-tuning without retraining entire models - Prepare datasets and generate synthetic data for post-training - Understand how to operate LLM production pipelines, with go/no-go decision points and feedback loops These advanced methods aren’t limited to frontier AI labs anymore, and you can now use them in your own applications. Learn here:

Andrew Ng

132,304 görüntüleme • 9 ay önce

„In 14 days I will have been Queen of Denmark for 52 years. Such long time does not pass without a trace for any human being - not even me! Time goes on, and the "diseases" increase. You no longer cope with the same things as you once could. In February this year I underwent extensive back surgery. It went well, thanks to the skilled healthcare staff who took care of me. Of course, the operation also gave rise to thinking about the future - whether the time had come to leave the responsibility to the next generation.“ 🎥 DR1

„In 14 days I will have been Queen of Denmark for 52 years. Such long time does not pass without a trace for any human being - not even me! Time goes on, and the "diseases" increase. You no longer cope with the same things as you once could. In February this year I underwent extensive back surgery. It went well, thanks to the skilled healthcare staff who took care of me. Of course, the operation also gave rise to thinking about the future - whether the time had come to leave the responsibility to the next generation.“ 🎥 DR1

ChristinZ

467,122 görüntüleme • 2 yıl önce

1/ New episode – Enabling AI Models to Drive Robots with Michael Cho - Rbt/Acc from BitRobot 🦾 Hosts: Connor Lovely 🎬 EV3 Sal We discuss: - Building the world's largest robotic driving dataset - Working with researchers from Google DeepMind - Launching a memecoin ($SAM) pre-TGE Timestamps: 00:00 - Introduction 01:47 - Intersection of Robotics and AI 02:50 - Real-World Evaluation vs. Digital AI 06:00 - The Importance of Real-World Testing 07:07 - Mapping and Navigation in Robotics 08:12 - Value of Real-World Data for AI 09:38 - Differences in Data Utility 13:07 - Exploring Different Robotic Form Factors 14:04 - Cross-Embodiment in Robotics 16:35 - Introduction to BitRobot 17:30 - Transition from Frotobots to BitRobot 22:05 - Future Plans for BitRobot 24:27 - Meme Coins in Community Building 27:46 - Conclusion Watch on all platforms below ⬇️

1/ New episode – Enabling AI Models to Drive Robots with Michael Cho - Rbt/Acc from BitRobot 🦾 Hosts: Connor Lovely 🎬 EV3 Sal We discuss: - Building the world's largest robotic driving dataset - Working with researchers from Google DeepMind - Launching a memecoin ($SAM) pre-TGE Timestamps: 00:00 - Introduction 01:47 - Intersection of Robotics and AI 02:50 - Real-World Evaluation vs. Digital AI 06:00 - The Importance of Real-World Testing 07:07 - Mapping and Navigation in Robotics 08:12 - Value of Real-World Data for AI 09:38 - Differences in Data Utility 13:07 - Exploring Different Robotic Form Factors 14:04 - Cross-Embodiment in Robotics 16:35 - Introduction to BitRobot 17:30 - Transition from Frotobots to BitRobot 22:05 - Future Plans for BitRobot 24:27 - Meme Coins in Community Building 27:46 - Conclusion Watch on all platforms below ⬇️

Proof of Coverage | Tech’s Creative Agency

10,748 görüntüleme • 1 yıl önce

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

@levelsio

428,893 görüntüleme • 11 ay önce

Excited to finally share the first teaser for our new feature! We shot “Disappearing Boy” over the course of a year, in shooting blocks of 2-3 days. Months off in between shoot dates were spent editing and writing new scenes for the next block. It was produced with no crew and on a budget of just $6000, which was almost entirely paid to the actors. And despite the very small scope (or perhaps because of it), we were able to shoot in 30+ locations around the LA area. Now it’s off to festivals and will premiere in the coming months. We also have a very unconventional distribution strategy I’m excited to test out, and will share more on that front when I can…

Excited to finally share the first teaser for our new feature! We shot “Disappearing Boy” over the course of a year, in shooting blocks of 2-3 days. Months off in between shoot dates were spent editing and writing new scenes for the next block. It was produced with no crew and on a budget of just $6000, which was almost entirely paid to the actors. And despite the very small scope (or perhaps because of it), we were able to shoot in 30+ locations around the LA area. Now it’s off to festivals and will premiere in the coming months. We also have a very unconventional distribution strategy I’m excited to test out, and will share more on that front when I can…

Noam Kroll

82,050 görüntüleme • 3 yıl önce

Explore state-of-the-art multimodal prompting in our new short course Large Multimodal Model Prompting with Gemini, taught by Erwin Huizenga in collaboration with Google Cloud. One interesting insight from this course: with multimodal models, prompt structure matters significantly. Placing text inputs, such as a patient's medical history, before image inputs, like an X-ray, can enhance the model's ability to contextualize and interpret visual data effectively. In other contexts, such as image captioning, you may get better results by putting the image first. Multimodal models behave differently than text-only LLMs, and effective prompting for models varies depending on the model you’re using. In this course you’ll learn how to effectively prompt Gemini models. Gemini's multimodal capabilities also enable new approaches in AI application development, for example: - The Gemini library handles various video formats (MP4, MOV, MPEG), streamlining applications using these formats. - Large context window (up to 1 million tokens) enables processing of extensive content, like analyzing multiple 50-minute videos simultaneously. - Function calling feature integrates real-time data (e.g., current exchange rates) into model responses. The course demonstrates building multimodal applications with real-world examples including document analyzers that reason across text and graphs simultaneously, video content extractors that find and timestamp specific information from multiple hours of footage, and automated expense report systems processing receipt images while cross-referencing company policies. Sign up here:

Explore state-of-the-art multimodal prompting in our new short course Large Multimodal Model Prompting with Gemini, taught by Erwin Huizenga in collaboration with Google Cloud. One interesting insight from this course: with multimodal models, prompt structure matters significantly. Placing text inputs, such as a patient's medical history, before image inputs, like an X-ray, can enhance the model's ability to contextualize and interpret visual data effectively. In other contexts, such as image captioning, you may get better results by putting the image first. Multimodal models behave differently than text-only LLMs, and effective prompting for models varies depending on the model you’re using. In this course you’ll learn how to effectively prompt Gemini models. Gemini's multimodal capabilities also enable new approaches in AI application development, for example: - The Gemini library handles various video formats (MP4, MOV, MPEG), streamlining applications using these formats. - Large context window (up to 1 million tokens) enables processing of extensive content, like analyzing multiple 50-minute videos simultaneously. - Function calling feature integrates real-time data (e.g., current exchange rates) into model responses. The course demonstrates building multimodal applications with real-world examples including document analyzers that reason across text and graphs simultaneously, video content extractors that find and timestamp specific information from multiple hours of footage, and automated expense report systems processing receipt images while cross-referencing company policies. Sign up here:

Andrew Ng

74,060 görüntüleme • 2 yıl önce

ICYMI: Brains are trending.. OpenAI made a direct investment into Merge Labs' $252M Seed at $850M valuation Merge Labs Labs is a Brain-Computer Interface ("BCI") research lab co-founded by Sam Altman, Alex Blania, & key frontier tech leaders (below) with expertise in neuroscience, bioengineering, hardware, AI systems, & foundational research. Unlike Elon Musk's Neuralink, which utilizes surgical implants, Merge Labs is developing non-invasive, high-bandwidth brain-computer interfaces (BCIs). The company uses a combination of ultrasound, AI-driven signal interpretation, and potentially genetic engineering to read neural activity without surgery. Founding Team: Alex Blania (Alex Blania) – Co-founder of World, an Altman-co-founded digital proof of human protocol; co-founder of Merge Labs. Sam Altman (Sam Altman) – CEO of OpenAI; co-founder of Merge Labs participating in a personal capacity. Altman has been reported as likely to serve in a strategic role but not in day-to-day operational management of Merge Labs. Mikhail Shapiro (Mikhail Shapiro (same on bsky)) – Professor of Chemical and Medical Engineering at Caltech and founding scientific leader for Merge Labs. He has also served as an adviser to Forest Neurotech. Sumner Norman (Sumner L Norman) – CEO of Forest Neurotech, a nonprofit research organization focused on ultrasound-based brain-computer interface technologies; also a co-founder of Merge Labs. Sandro Herbig (Sandro Herbig) – Identified as a technology entrepreneur and co-founder of Merge Labs with prior systems and product experience, including work with Blania on Tools for Humanity and World. While specific current corporate title at Merge hasn’t been publicly detailed, he is recognized as part of the founding leadership team. Tyson Aflalo – Chief Scientific Officer of Forest Neurotech prior to Merge Labs; co-founder and technical lead at Merge Labs with expertise in neural engineering and ultrasound BCI research. . . . "It’s a direct investment from OpenAI, not their venture arm, so it’s an actual collaboration. As we were discussing the investment, there were many different dimensions where collaboration could make sense. One area is protein design. We’re working extensively with proteins, and that’s an area that’s broadly interesting to OpenAI. It’s one of the most compelling applications of AI — for example, the work Google did with AlphaFold. More broadly, AI has significant implications for biology and for accelerating that part of what we’re building. Another area is chips. Eventually, once we have a clear scientific understanding of what we’re building and how it will work, a major focus for many years will be on making these chips highly energy efficient."

ICYMI: Brains are trending.. OpenAI made a direct investment into Merge Labs' $252M Seed at $850M valuation Merge Labs Labs is a Brain-Computer Interface ("BCI") research lab co-founded by Sam Altman, Alex Blania, & key frontier tech leaders (below) with expertise in neuroscience, bioengineering, hardware, AI systems, & foundational research. Unlike Elon Musk's Neuralink, which utilizes surgical implants, Merge Labs is developing non-invasive, high-bandwidth brain-computer interfaces (BCIs). The company uses a combination of ultrasound, AI-driven signal interpretation, and potentially genetic engineering to read neural activity without surgery. Founding Team: Alex Blania (Alex Blania) – Co-founder of World, an Altman-co-founded digital proof of human protocol; co-founder of Merge Labs. Sam Altman (Sam Altman) – CEO of OpenAI; co-founder of Merge Labs participating in a personal capacity. Altman has been reported as likely to serve in a strategic role but not in day-to-day operational management of Merge Labs. Mikhail Shapiro (Mikhail Shapiro (same on bsky)) – Professor of Chemical and Medical Engineering at Caltech and founding scientific leader for Merge Labs. He has also served as an adviser to Forest Neurotech. Sumner Norman (Sumner L Norman) – CEO of Forest Neurotech, a nonprofit research organization focused on ultrasound-based brain-computer interface technologies; also a co-founder of Merge Labs. Sandro Herbig (Sandro Herbig) – Identified as a technology entrepreneur and co-founder of Merge Labs with prior systems and product experience, including work with Blania on Tools for Humanity and World. While specific current corporate title at Merge hasn’t been publicly detailed, he is recognized as part of the founding leadership team. Tyson Aflalo – Chief Scientific Officer of Forest Neurotech prior to Merge Labs; co-founder and technical lead at Merge Labs with expertise in neural engineering and ultrasound BCI research. . . . "It’s a direct investment from OpenAI, not their venture arm, so it’s an actual collaboration. As we were discussing the investment, there were many different dimensions where collaboration could make sense. One area is protein design. We’re working extensively with proteins, and that’s an area that’s broadly interesting to OpenAI. It’s one of the most compelling applications of AI — for example, the work Google did with AlphaFold. More broadly, AI has significant implications for biology and for accelerating that part of what we’re building. Another area is chips. Eventually, once we have a clear scientific understanding of what we’re building and how it will work, a major focus for many years will be on making these chips highly energy efficient."

Molly O’Shea

38,842 görüntüleme • 6 ay önce

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras

IIT Madras

22,446 görüntüleme • 4 ay önce

NYC MAYOR ADAMS GOES ALL IN ON BITCOIN AND CRYPTO🇺🇸 First off, a huge thank you to Mayor Zohran Kwame Mamdani and his team for hosting a truly historic crypto summit at Gracie Mansion. I had the honor of sitting down with the mayor ahead of his speech to discuss deregulation, crypto adoption, and future-forward policy in New York City. This is the same mayor who took his first three paychecks in BTC—and now, he’s doubling down on making NYC a beacon for innovation once again. A special thanks to “Mr. Bored” for helping bring this entire event to life. And of course, massive respect to the 3 million investors I proudly represent through my personal brand Itzjoshuajake, Fomoed, and the Discover family. This next chapter is about YOU—the people. And I’m just grateful to play a role in the conversation. Together, we Make New York City Great Again🇺🇸

Joshua Jake

37,344 görüntüleme • 1 yıl önce

Pikes Peak week is underway. Unplugged Performance teamed up with Tesla Colorado Springs to kick-off our 2023 Pikes Peak International Hill Climb week. With Dark Helmet on display, Tesla owners and future Tesla owners joined our famed racing driver, Randy Pobst, our co-founder Ben Schaffer and the Tesla Colorado Springs staff for an incredible afternoon of interviews and Q&A! Stay tuned all week for daily updates of our practice/qualifying runs, testing and tuning recaps, exclusive interviews and of course, race day! Official GIVEAWAY announcement: if you want to win a track day with Randy Pobst for some hot laps and private instruction in a track-prepped Unplugged Performance Tesla Model 3 Ascension R, just go to and sign up for our newsletter. Huge thanks to Tesla, Randy Pobst, Yokohama Tire, SpaceX

Pikes Peak week is underway. Unplugged Performance teamed up with Tesla Colorado Springs to kick-off our 2023 Pikes Peak International Hill Climb week. With Dark Helmet on display, Tesla owners and future Tesla owners joined our famed racing driver, Randy Pobst, our co-founder Ben Schaffer and the Tesla Colorado Springs staff for an incredible afternoon of interviews and Q&A! Stay tuned all week for daily updates of our practice/qualifying runs, testing and tuning recaps, exclusive interviews and of course, race day! Official GIVEAWAY announcement: if you want to win a track day with Randy Pobst for some hot laps and private instruction in a track-prepped Unplugged Performance Tesla Model 3 Ascension R, just go to and sign up for our newsletter. Huge thanks to Tesla, Randy Pobst, Yokohama Tire, SpaceX

UP

42,780 görüntüleme • 3 yıl önce

08. 02. 23 THANK YOU, WAGNER! WE WORK... The training course for war correspondents at the Wagner PMC has been completed. Today Evgeny Viktorovich Prigozhin came to us to take tests and talk about the course program. Despite the fact that our classes were more than educational, cool, informative - I don't even know what epithets to choose, I really liked everything, despite being fully booked these days and pleasantly tired. So, despite all this, the experience of our course will be used to improve the program, PMC Wagner has a thorough approach to everything, and our course was no exception. I managed to ask him a few questions, I'll tell you later. We also discussed the meme " WAGNER-BUNNIES " that was born on our course, thanks to the wonderful instructors. Before leaving, we spent a few hours at the shooting range, worked with the AK, PM and SVD, we were given chevrons and personal tokens, and we went our separate ways. My Donetsk was waiting for me, from tomorrow my military correspondent's everyday life will begin again. Wagner, thank you for your care, for your knowledge, for being there! I love you and hope to see you again! Yours, Maryana Naumova By rates: * Invitation * Day 1 - road, accommodation * Day 2 - equipment and work at the training ground * Day 3 - theory, medicine, work on the training ground * Day 4 - engineering and sapper work, orientation * Day 5 - Practical Tactical Medicine * Day 6 - work at the training ground, tests, receiving chevrons and tokens * Live broadcast on Channel One about the courses for war correspondents

08. 02. 23 THANK YOU, WAGNER! WE WORK... The training course for war correspondents at the Wagner PMC has been completed. Today Evgeny Viktorovich Prigozhin came to us to take tests and talk about the course program. Despite the fact that our classes were more than educational, cool, informative - I don't even know what epithets to choose, I really liked everything, despite being fully booked these days and pleasantly tired. So, despite all this, the experience of our course will be used to improve the program, PMC Wagner has a thorough approach to everything, and our course was no exception. I managed to ask him a few questions, I'll tell you later. We also discussed the meme " WAGNER-BUNNIES " that was born on our course, thanks to the wonderful instructors. Before leaving, we spent a few hours at the shooting range, worked with the AK, PM and SVD, we were given chevrons and personal tokens, and we went our separate ways. My Donetsk was waiting for me, from tomorrow my military correspondent's everyday life will begin again. Wagner, thank you for your care, for your knowledge, for being there! I love you and hope to see you again! Yours, Maryana Naumova By rates: * Invitation * Day 1 - road, accommodation * Day 2 - equipment and work at the training ground * Day 3 - theory, medicine, work on the training ground * Day 4 - engineering and sapper work, orientation * Day 5 - Practical Tactical Medicine * Day 6 - work at the training ground, tests, receiving chevrons and tokens * Live broadcast on Channel One about the courses for war correspondents

Maryana Naumova 🇷🇺

14,711 görüntüleme • 1 yıl önce

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:

New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs. This course is built with AI21 Labs and taught by Chen Wang and Chen Almagor. The transformer architecture is computationally expensive when handling very long input contexts. But there's an alternative called Mamba, a selective state space model that can process very long contexts with a much lower computational cost. However, researchers found that the pure Mamba architecture underperforms in understanding the context, and gives lower-quality responses. To overcome this, AI21 developed the Jamba model, which combines Mamba's computational efficiency with the transformer's attention mechanism to help with the output quality. In this course, you’ll learn about how state space models, and Jamba, work. You’ll also learn how to prompt Jamba, use it to process long documents, and build long-context RAG apps. - Learn how Jamba combines transformer and state space model architectures to achieve high performance and quality - Use the AI21 SDK, with an example of prompting over a large 200k-token annual financial report of Nvidia - Use Jamba for tool-calling, with hands-on examples from calling simple arithmetic calculations to a function that returns quarterly company financial reports. - Learn how training for long context is done, and the metrics used for its evaluation - Create a RAG app using the AI21 Conversational RAG tool and build your own RAG pipeline that uses Jamba and LangChain. By the end of this course, you'll learn how to build applications that can handle context as long as an entire book. Please sign up here:

Andrew Ng

77,792 görüntüleme • 1 yıl önce