Innovative ‘e-Taste’ Device Elevates Virtual Reality With Flavour

by News Editor

March 4, 2025

Imagine a world where discussing your colleague’s lunch isn’t just about pictures; it’s about experiencing the taste virtually! The e-Taste device, a groundbreaking invention by scientists aiming to revolutionize how we share taste in digital realms.

An Immersive Leap In Technology

This technological marvel could soon enhance virtual and augmented reality experiences, opening doors to unique applications such as gaming, online shopping, and immersive education. Despite its promise, there are still challenges to overcome, particularly in replicating the sensations of spiciness and fattiness.

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The Science Behind e-Taste

The e-Taste device operates with two main components: an electronic tongue that captures the taste data of food and drinks, and a delivery system that mimics these tastes in your mouth. It processes five primary taste sensations using edible chemicals: sweetness, sourness, saltiness, bitterness, and umami.

Potential Applications And Current Limitations

Applications for the e-Taste are vast, from virtual food adventures to aiding sensory testing and physical rehabilitation. However, the need for further development means some taste sensations still elude the device’s capabilities.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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