AI's made its name in the digital space. But thanks to Archetype AI, it's broken away from its silicon prison to learn about our physical world. Archetype's Newton, a Large Behaviour Model, is currently crunching data from sensors like cameras and radars to create a unified representation of the physical environment. This allows for real-time insights and predictions, enabling applications such as smarter homes, safer vehicles, and improved industrial processes. Archetype is currently working to make Newton accessible to everyone, allowing individuals and businesses to utilise its capabilities through an API and various applications.

Imagine a world where a doctor, armed with an AI-powered assistant, can diagnose diseases like pancreatic cancer earlier, potentially saving thousands of lives annually.

This isn't science fiction; it's the reality Microsoft is building through its AI for Health program.

This program, like a master conductor, is orchestrating an AI symphony with tools like cutting-edge imaging analytics, allowing AI to identify tumours often missed by the human eye.

It's not just about improving diagnoses, it's about improving access to healthcare too. Imagine a virtual health village, accessible 24/7, where AI-powered chatbots like 'Quitbot' can help people quit smoking or guide them through symptom triaging.

This vision is becoming a reality with Azure Health Bot, which can be easily customised to support a wide range of healthcare scenarios.

The power of these breakthroughs lies in the integration of diverse data types - medical imaging, genomic data, clinical records - all analysed by AI models in Azure AI Studio.

It's like having a super-powered detective, capable of analysing millions of clues at once, uncovering hidden patterns and insights that could revolutionise healthcare. This could lead to more personalised treatment plans, faster drug discovery, and a deeper understanding of complex health issues.

Microsoft is building a future where healthcare is more accessible, efficient, and effective - a future where AI empowers both patients and medical professionals to achieve better health outcomes.

Imagine your marketing team brainstorming hundreds of genuinely inspired ideas in seconds.

That's the potential of Thought Preference Optimisation (TPO), a new AI technology from Meta.

TPO is like giving your AI a brain. Unlike standard AI, which rushes to spit out the first answer, TPO takes time to 'think' things through. It generates internal thoughts, invisible to you, and uses them to refine its responses before presenting the best one.

This is a big development for marketing. In trials, TPO outperformed standard AI on key marketing and creative writing benchmarks.

Think of it as your AI team going through rounds of internal brainstorming and presenting you with only the most polished, effective ideas.

Here's a quick example:

Prompt: Write a tagline for a new brand of sustainable sneakers made from recycled ocean plastic.

Standard LLM Output:

Walk with the ocean.

TPO Output:

1. Internal Thoughts:

The tagline should be concise and impactful.

It should highlight the sustainability aspect.

It should appeal to the target audience who care about the environment and style.

Possible themes: ocean conservation, recycled materials, stylish and eco-conscious.

2. Tagline: Style that tides the world.

The standard LLM output is quick and direct, but lacks depth and creativity. It fails to convey the unique selling proposition.

The TPO output demonstrates a more deliberate and thoughtful process. The internal thoughts reveal how the AI considers different factors and explores potential themes before arriving at a tagline that is more creative, memorable, and relevant to the brand's mission.

When can you get your hands on this? While still under development, TPO builds on the latest AI research from Meta and OpenAI.

Find out more on the latest episode of AI Today...