Generative AI : The next dimension

Monday - November 6 2023 

In this week’s newsletter :

• ‘Stable 3D’ generating 3d models

• Wraithwatch fighting AI malware

• Copilot enhancing human-machine collaboration

• AI tools in the medical field

• Sam Altman’s recent podcast appearance

HEADLINES

Stability AI’s latest tool ‘Stable 3D’ uses AI to generate 3d models
Summary:
Stability AI has launched "Stable 3D," an AI-powered app for creating textured 3D models for platforms like Blender, Maya, Unreal Engine, and Unity. The tool is designed to help non-experts generate "draft-quality" 3D models quickly.

Stable 3D allows users to describe a 3D model in natural language or upload an image for conversion.
However, the article highlights potential legal concerns regarding the data used to train Stable 3D and Stability AI's history of IP-related issues.

The release of Stable 3D signals Stability AI's entry into the competitive field of AI-powered 3D model generation. The company has previously faced financial challenges and recently raised $25 million through a convertible note.

Wraithwatch fights fire with fire
Summary:
Wraithwatch, a security organization is aiming to counter malicious AI with AI-based solutions. It emphasizes the need for proactive measures to address AI-accelerated malware development and autonomous attacks.

Wraithwatch's approach involves simulating attacks and adapting defenses to counter evolving threats. The speed and variety of attacks may soon overwhelm the largely manual and human-driven cybersecurity response policies most companies use.

The startup has secured funding and plans to provide a command and control layer to enhance threat detection and response in the cybersecurity domain.

Copilot enhancing human-machine collaboration
Summary:
Microsoft and Siemens have collaborated to introduce the Siemens Industrial Copilot, an AI assistant that enhances collaboration between humans and machines in manufacturing. The tool streamlines the generation, optimization, and debugging of complex automation code, significantly reducing simulation times.

It integrates with Microsoft Teams to facilitate virtual collaboration among design engineers, frontline workers, and various teams, making tasks more efficient. The companies anticipate the use of AI copilots in various industries, including manufacturing, infrastructure, transportation, and healthcare. This collaboration is poised to demonstrate how AI can revolutionize traditional workflows and empower professionals.

Brave browser’s own AI assistant chatbot
Summary:
Brave, the privacy-focused browser, is introducing Leo, an AI chatbot designed to offer "unparalleled privacy" compared to other AI chatbot services. Leo can translate, answer questions, summarize webpages, and generate content. Unlike some competitors, conversations with Leo are not recorded or used for AI model training, and no login information is required.

The base version of Leo uses Meta's Llama 2 language model and is free for desktop users, with mobile support coming soon. There's also a Leo Premium subscription for $15 per month, offering access to different AI models and additional features, including higher-quality conversations and early access to new features.
This move aligns with Brave's commitment to pairing AI with user privacy.

TOOLS

AI tool that grades severity of rare cancer
Summary:
Artificial intelligence (AI) is proving to be highly effective in grading the aggressiveness of a rare form of cancer from scans. AI demonstrated 82% accuracy in identifying details invisible to the naked eye, outperforming the 44% accuracy of lab analysis.

The researchers believe this technology can significantly improve treatment for this cancer and have potential applications in early detection of other forms of cancer.
The study used radiomics to identify signs of retroperitoneal sarcoma in scans of 170 patients, allowing the AI algorithm to grade the aggressiveness of other patients' tumors more accurately than biopsies.

AI tool diagnoses diabetes in 10 seconds.
Summary:
Researchers in Canada have trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients within six to 10 seconds of listening to their voice. The AI identified 14 vocal differences between individuals with type 2 diabetes and those without, including subtle pitch and intensity changes imperceptible to the human ear.

The AI, in combination with basic health data like age, sex, height, and weight, achieved an accuracy rate of 82% in diagnosing the condition. This AI-driven approach could significantly reduce the cost and effort involved in diagnosing type 2 diabetes and enable remote diagnosis.

EDUTAINMENT

3 Selected Insights:
🌍🤔🤖

• Altman's vision of AI's potential: "It is exciting because of the innumerable applications we know and don't yet know that will Empower humans to create, to flourish, to escape the widespread poverty and suffering."
  

• Sam Altman emphasizes the importance of power distribution in AI, rejecting the idea of one person having control.
  

• Altman marvels at the predictive capabilities of AI: "You look at a one-year-old baby and predict how it's going to do on the SATs...

THAT’S ALL FOLKS

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See you next week !

Nex AI