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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.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM

March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

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Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?