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Dendritic Neural Networks: A Step Closer to Brain-Like AI

Marktechpost

Artificial Neural Networks (ANNs) have their roots established in the inspiration developed from biological neural networks. dANNs offer a new way to build artificial neural networks. This substantially improves conventional architectures, creating stronger and more sustainable AI systems.

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What Really Made Geoffrey Hinton Into an AI Doomer

Analytics Vidhya

Geoffrey Hinton, a pioneer in the field of artificial intelligence (AI), is sounding an alarm about the rapid progress of machine intelligence.

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Researchers at Apple Propose ReDrafter: Changing Large Language Model Efficiency with Speculative Decoding and Recurrent Neural Networks

Marktechpost

However, the journey towards creating responsive, accurate, and conversational AI has been marred by a significant hurdle: the processing speed of generating textual responses. Central to addressing this challenge are initiatives to reduce the time these LLMs take to produce text.

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Meta AI Introduces Brain2Qwerty: A New Deep Learning Model for Decoding Sentences from Brain Activity with EEG or MEG while Participants Typed Briefly Memorized Sentences on a QWERTY Keyboard

Marktechpost

Meta AIs research into Brain2Qwerty presents a step toward addressing this challenge. Meta AI introduces Brain2Qwerty , a neural network designed to decode sentences from brain activity recorded using EEG or magnetoencephalography (MEG). Dont Forget to join our 75k+ ML SubReddit.

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AGI Revolution is Comparable to the Invention of the Wheel: AI Godfather Geoffrey Hinton

Analytics Vidhya

Geoffrey Hinton: Godfather of AI Geoffrey Hinton, often considered the “godfather of artificial intelligence,” has been pioneering machine learning since before it became a buzzword. Hinton has made significant contributions to the development of artificial neural networks and machine learning algorithms.

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This Paper Proposes RWKV: A New AI Approach that Combines the Efficient Parallelizable Training of Transformers with the Efficient Inference of Recurrent Neural Networks

Marktechpost

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these.

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9 Best Text to Speech APIs (September 2024)

Unite.AI

Key features of Deepgram: Advanced AI-powered speech recognition with high accuracy Customizable models for industry-specific vocabularies and accents Real-time and batch audio processing capabilities Low latency and high throughput for scalable solutions Comprehensive API and SDK support for easy integration Visit Deepgram → 2.