AI News Weekly – Issue #403: AI Stocks: The 10 Best AI Companies – Sep 12th 2024
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In the News
AI Stocks: The 10 Best AI Companies
Artificial intelligence, automation and robotics are disrupting virtually every industry. In recent years, the world has gotten a firsthand look at remarkable advances in AI technology, including OpenAI’s ChatGPT AI chatbot, GitHub’s Copilot AI code generation software and Google’s Gemini AI model.
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In The News
OpenAI aims to raise at least $5bn at $150bn valuation
OpenAI is aiming to raise at least $5bn at a valuation of $150bn from investors including Apple, Nvidia, Microsoft and Thrive Capital, in a deal that could almost double the artificial intelligence start-up’s valuation.
OpenAI co-founder Sutskever’s new safety-focused AI startup SSI raises $1 billion
Safe Superintelligence (SSI), newly co-founded by OpenAI’s former chief scientist Ilya Sutskever, has raised $1 billion in cash to help develop safe artificial intelligence systems that far surpass human capabilities, company executives told Reuters.
Here’s what your iPhone 16 will do with Apple Intelligence — eventually
Apple Intelligence will miss the launch of the new iPhones, but here’s what’s coming in the iOS 18.1 update and beyond.
Applied use cases
Amazon starts testing ads in its Rufus chatbot
Rufus, Amazon’s recently launched, shopping-focused chatbot, is getting ads soon.
Algorithm sharpens facial features for better emotion detection
New research introduces a method to improve the accuracy and speed of dynamic emotion recognition using a convolutional neural network (CNN) to analyze faces.
AI’s role in helping to prevent skin cancer through behaviour change
In the past year, we’ve seen remarkable achievements across AI-assisted cancer diagnosis as more and more clinicians test, use and integrate AI companions into daily practice.
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Ethics
The rise of checkbox AI ethics: a review
This paper reviews, synthesizes and assesses current practical approaches for AI in health, examining their scope and potential to aid organizations in adopting ethical standards.
AI In HR: How Not To Sacrifice Ethics For Progress
Fast forward to today, and the ethical challenges we face have only grown more complex—particularly with the rise of AI in HR.
OpenAI, Anthropic, Google employees come out in support of California AI bill
The bill requires AI companies to test their systems for safety before shipping them to the public, and holds companies liable for catastrophic harms caused by their models.
Robotics
Artificial muscles propel a robotic leg to walk and jump
Researchers at ETH Zurich and the Max Planck Institute for Intelligent Systems have developed a robotic leg with artificial muscles. Inspired by living creatures, it jumps across different terrains in an agile and energy-efficient manner.
Muscle-Powered Robotics: A New Frontier in Biomimetic Engineering
In a notable development in the field of robotics, researchers at ETH Zurich and the Max Planck Institute for Intelligent Systems have unveiled a new robotic leg that mimics biological muscles more closely than ever before. This innovation marks a significant departure from traditional robotics, which has relied on motor-driven systems for nearly seven decades.
“The first robotic leg with muscles”: breakthrough announced by European researchers
Researchers from ETH Zurich and the Max Planck Institute have developed a way to power robots with artificial muscles, rather than electronic motors
Research
Scientists combine nanotech and deep learning to build ultra-small e-nose system for real-time gas identification
A new ultra-small electronic nose (e-nose) that operates on ultralow power opens up possibilities for applications in various fields, such as air quality monitoring, health diagnostics, food safety, and environmental protection.
New neural framework enhances reconstruction of high-resolution images
Deep learning (DL) has significantly transformed the field of computational imaging, offering powerful solutions to enhance performance and address a variety of challenges.
Novel Architecture Makes Neural Networks More Understandable
By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.
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