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Once you’re unsure, just look to the insect kingdom for technological inspiration.

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NEW THINGS

AI Met Fruit Fly

Scientists have developed a virtual brain model based on the fruit fly’s visual system, offering latest insights into each biological brain function and more energy-efficient artificial intelligence.

The Details:

• Virtual Brain Model Creation: Researchers on the Janelia Research Campus and University of Tübingen used over a decade of labor to create a virtual brain model that simulates the fruit fly’s visual system, predicting the behavior of individual neurons.

• Data Comparison – AI vs. Fruit Fly: While a fruit fly’s brain has only 100,000 neurons, it efficiently performs complex tasks like flying, detecting predators, and mating. In contrast, AI systems require billions of transistors and devour the identical amount of energy as a small country to attain comparable tasks.

• Energy Efficiency in AI: The study suggests that artificial intelligence, comparable to ChatGPT, could greatly reduce energy consumption by borrowing computational strategies from the fruit fly brain. This efficiency could transform AI’s environmental impact.

Why It Matters:

This case shows how studying the common-or-garden fruit fly can revolutionize each neuroscience and AI. By demonstrating that a brain with just 100,000 neurons can manage complex tasks, scientists can now explore energy-saving models for AI systems, potentially cutting their massive power consumption.

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NEW THINGS

Can AI Memory Match Human Memory?

A study from Hong Kong Polytechnic University reveals that enormous language models (LLMs) display memory capabilities much like human memory, known as “Schrodinger’s Memory.” This memory is barely observable when prompted by a particular query, akin to how humans recall information when asked specific questions.

The Details:

• Schrodinger’s Memory Concept: LLMs display a novel type of memory that researchers describe as “Schrodinger’s Memory.” Like human memory, LLMs’ ability to recall information is barely observable when prompted by a particular query, making the memory indeterminate until tested.

• LLMs’ Memory Performance: Experiments showed that LLMs could recall almost 2,000 Chinese and English poems with high accuracy, a feat that may be difficult for humans to attain without specialized training. The very best-performing models, like Qwen2-1.5B-Instruct, remembered nearly 100% of the poems, demonstrating impressive memory capabilities.

• UAT Theory and Dynamic Memory: The study explains LLM memory through the Universal Approximation Theorem (UAT), suggesting that LLMs dynamically generate outputs based on input, much like how human brains process information. This dynamic fitting of outputs forms the premise of LLMs’ memory function.

Why It Matters:

Understanding how LLMs mimic human memory opens latest possibilities for developing AI systems that may retain and recall vast amounts of knowledge more efficiently. This capability could revolutionize industries that depend on information retrieval, from education to customer support. By leveraging Schrodinger’s memory, AI could someday replicate human-like reasoning and memory, bridging the gap between human cognition and machine intelligence.

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QUICK HEATS

• Lionsgate and AI startup Runway has announced a partnership to utilize generative AI in film production by developing a custom AI model using its media library.

• SiFive has launched its latest SiFive Intelligence XM Series chip designs, featuring a scalable AI matrix engine for low-powered applications.

• YouTube announced the mixing of Google DeepMind’s AI video model, Veo, into YouTube Shorts, allowing creators to generate high-quality backgrounds and 6-second clips.

• The Biden administration will host a worldwide safety summit on artificial intelligence in San Francisco on November 20-21 to deal with the technology’s risks and capabilities.

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• 🦾 Flot AI writes, reads, and remembers across any apps and webs. (Featured)

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• 🗺️ MapsScraperAI extracts essential business data from Google Maps, enhancing your lead generation and market research. (Featured)

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