Robot Matches Human Surgeons After Studying Tape

And: Elon's X to share user data.

Studying tape appears to unlock the potential of medical robots, training in hours rather than years. And X sparks concerns with terms for data sharing, while human intuition reigns supreme in trading.

In this week’s edition:

  • A da Vinci medical robot trained on video performs complex surgical procedures

  • Updated privacy policy allows Elon’s X to share data with third parties

  • Latest releases

  • Traders outperform AI with human intuition

  • 7 AI tools to revolutionize work

  • More happening this week

  AI in Healthcare

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A medical robot can now perform complex surgical procedures with the skill of a human surgeon. The breakthrough is possible thanks to a novel training technique that allows the system to learn from videos of previous surgeries.

Need to know:

  • Conventional robotic surgery involves a human surgeon directly controlling the robot using hand movements. Nearly 7,000 da Vinci robots are used worldwide.

  • Researchers at Johns Hopkins and Stanford Universities trained an AI model on hundreds of videos recorded from wrist cameras placed on the arms of robots during surgical procedures.

  • Known as “Imitation learning”, the training produces a kinematic model by translating robotic motion into precise angles and movements.

  • The robot completed tasks like needle manipulation, tissue lifting, and suturing without human input.

  • Training on existing video eliminates the complex, time-consuming programming of each motion.

  • An extensive video database of da Vinci robot surgeries worldwide presents a rich data source for robots to “imitate.”

This breakthrough significantly speeds up the training process for surgical robots. Instead of spending years programming a robot for each type of surgery, robots may be trained in just a few days using imitation learning.

Ultimately, this may enable surgeries that are currently unavailable due to limited resources.

  Privacy & Security

Updates to its privacy policy allow X (formerly Twitter) to share user data with third parties. The policy change has ignited discussions about data privacy in the rapidly evolving AI landscape.

Need to know:

  • Previous policy permitted internal use within X to personalize services, tailor content, serve relevant ads - and train its own chatbot, Grok.  

  • The updated policy now allows the company to share data with third parties, including Elon Musk’s other businesses, such as xAI.

  • Public content includes posts, images, and interactions such as comments. X cannot use data from private accounts or direct messages.

  • Users who are unhappy with the collection and sharing of their public data have limited options as far as privacy settings. Some may opt to cease using or delete their accounts, but historical data may still be used.  

With many experts suggesting a shortage of new training material could halt AI advancements, user-generated content may provide a valuable resource. Future developments will need to balance innovation with privacy and data protection.

  Roundup  

Latest Releases

  • Tesla's latest update brings end-to-end neural networks to highway driving, but only for newer vehicles (HW4). This means smoother, more natural driving for supported cars, while HW3 owners may see limited improvements.

  • OS 18.2 integrates AI with Siri, Photos, and Camera upgrades across Apple devices. Notable features include Image Playground's AI image editing, Genmoji's custom emoji creator, and ChatGPT integration for more natural Siri conversations. These updates show Apple's commitment to advancing on-device AI, making your devices more intelligent and intuitive than ever.

  • Qwen2.5-Coder, an open-source coding model, offers a powerful, diverse, and practical tool for developers. Its flagship model, Qwen2.5-Coder-32B-Instruct, matches GPT-4o's capabilities in code repair, reasoning, and multilingual support. Explore its full potential in the official Qwen release notes.

  • OpenAI's Operator, an AI agent set to launch in January 2024, will revolutionize task automation by independently handling complex tasks like coding and travel booking. Initially available as a research preview and through API, Operator marks a shift towards active AI systems, with competitors like Google and Anthropic also developing similar technologies.

  • Google's AI-powered Scam Detection feature for Pixel phones uses on-device machine learning to analyze incoming calls for suspicious activity, alerting users to potential scams without compromising privacy. Pixel 6 and newer users can try the beta, bolstering defenses alongside tools like Call Screen.

  • iOS 18.2 unleashes a suite of AI-powered features, including Image Playground for creative photo editing and Genmoji for personalized emojis. Siri gains ChatGPT capabilities for more intelligent interactions, while Image Wand boosts Apple Pencil functionality. These features, prioritizing on-device intelligence, offer users exciting tools for creativity and productivity.

  AI in Finance

Despite AI's surge, it won't replace human traders anytime soon. While AI excels in tasks like customer service automation and data analytics, it lacks the strategic thinking, creativity, and intuition crucial for successful trading. Major banks use AI for customer interactions, but trading relies heavily on human insight.

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• AI can handle basic tasks, but successful trading needs human qualities like strategic thinking.

• High-frequency trading values speed, where AI helps but isn't critical.

• Long-term trading relies on human insight to make informed decisions.

• Significant AI advancements are at least 5-7 years away.

• Human creativity and intuition are still essential in the competitive trading field.

Broader implications point towards a future where AI may augment but not replace human intelligence in trading, with significant changes anticipated only with the advent of artificial general intelligence (AGI), at least five to seven years away. Stakeholders, including traders and businesses, must adapt to AI's growing role while recognizing its limitations.

Toolbox

NovelAI: Generate creative content with AI-driven text generation and customization tools, including stories, poems, and articles.

Voco: Generate realistic voiceovers and convert text to speech using AI in over 50 voices and 40 languages.

Cloosiv: Streamline fitness routines with personalized AI workout plans, progress tracking, and nutritional advice.

Unbabel: Provide fast, high-quality translations powered by a combination of AI and human linguists.

Krisp: Improve productivity during virtual meetings with AI-driven noise cancellation and background blurring features.

D-ID: Anonymize faces in photos and videos to protect privacy using AI face re-identification.

Replika: Hold natural conversations with an AI friend who learns about you over time.

More News

Quick Bytes

  • Google's NotebookLM revolutionizes information access with AI-driven summaries, question-answering, and brainstorming, but it also raises concerns about AI's role in content creation and analysis.

  • Mount Sinai's AI model revolutionizes brain pressure monitoring, offering a safer, noninvasive alternative for critical care patients.

  • Xbox's AI-driven moderation system blocked 19 million toxic messages, enhancing player safety in Minecraft and Call of Duty: Black Ops 6.

  • Wattmonk's AI tools streamline solar project planning, transforming workflows today and shaping solar's future. Discover more in AI’s Role in Solar, a webinar set for Dec 12.

  • MIT's graph-based AI maps the future of innovation by linking science and art, revealing hidden patterns to suggest novel materials.

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Dan @ The Revolution AI

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