The AI race heats up: Medicine, Physics, Safety

Welcome Humans🤖,

Here is what we have Today:

• ⚡️ UCLA's SLIViT analyzes 3D scans at lightning speed.

• 💡 AI 'Newton' discovers physics laws on its own.

• 🧠 Anthropic probes AI sabotage potential.

• 💼 New Job Opportunities

SAM ALTMAN

🧠 SLIViT: The AI That Sees Through You in Seconds

UCLA researchers have developed SLIViT, an AI model that analyzes complex 3D medical scans with expert-level accuracy at unprecedented speeds.

How fast and accurate is it?

• Matches clinical expert accuracy in analysis

• Reduces analysis time by a factor of 5,000 compared to human specialists

• Works with various 3D imaging types: MRIs, CT scans, and ultrasounds

What makes SLIViT unique?

• Requires only hundreds of training samples, unlike other AI models

• Uses transfer learning, leveraging knowledge from 2D medical data

• Efficiently analyzes 3D datasets with limited training data

How does it work?

• SLIViT stands for "SLice Integration by Vision Transformer"

• Integrates slice-by-slice analysis for efficient 3D image processing

• Applies transfer learning from 2D to 3D medical imaging data

Why is this important?

• Addresses growing demand for faster medical diagnostics

• Potentially democratizes expert medical imaging analysis

• Could significantly reduce wait times for diagnoses

What's the potential impact?

• May revolutionize medical imaging workflow in hospitals

• Could improve access to expert-level diagnostics in resource-limited areas

• Might lead to earlier detection and treatment of various conditions

This development could transform medical imaging, offering rapid, accurate diagnoses and potentially improving patient outcomes across the healthcare spectrum.

Trending Today

• Toyota has unveiled a new Cartridge for its Hydrogen Cars, designed to be portable and manageable to users — carried around by hand to refuel Hydrogen cars anywhere.

• Anthropic has published a set of four new evaluations (human decision sabotage, code sabotage, sandbagging (hiding capabilities), and undermining oversight) aimed at detecting potential sabotage capabilities in advanced AI systems, focusing on risks that could arise if models attempt to subvert human oversight or decision-making

• China has built the world’s most powerful resistive magnet (made of coiled metal wires), which can produce a magnetic field that is more than 800,000 times stronger than Earth’s.

• Archetype AI has unveiled 'Newton,' a new foundational AI ‘Large Behavior Model’ that learns complex physics principles directly from raw sensor data, without any human guidance, accurately predicting behaviors of system — outperformed specialized AI in tasks like forecasting citywide power consumption and discovering systems from data instead of training.

• Publisher Penguin Random House revised its global copyright notices to include a statement explicitly preventing the use of texts for AI training purposes, which will now appear on all titles.

• OpenAI’s former CTO—Mira Murati—who quit the company last month, is reportedly raising over $100M in VC funding for a new AI startup that’s focused on building AI products based on proprietary models.

• UCSF Researchers have come up with an AI model that boosts the quality of 3T MRI images to look like higher-resolution 7T MRIs — making it easier to spot brain issues in conditions like traumatic brain injury and multiple sclerosis —helping more people access high-quality brain scans without needing specialized machines

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