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Understanding Local Rank and Information Compression in Deep Neural Networks
Deep neural networks are powerful tools that excel in learning complex patterns, but understanding how they efficiently compress input data into meaningful representations remains a challenging research problem. Researchers from the University of California, Los Angeles, and New York University propose a new metric, called local rank, to measure the intrinsic dimensionality of feature manifolds…
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The Disinformation Warning Coming From the Edge of Europe
Moldova is facing a tide of disinformation unprecedented in complexity and aggression, the head of a new center meant to combat it tells WIRED. And platforms like Facebook, TikTok, Telegram and YouTube could do more.
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Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing
Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video, signaling a significant leap in AI development. Despite the remarkable progress…
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Southeast Asia reiterates pledge to collaborate amid growing cyber threats in AI era
ASEAN member states now have a physical CERT facility located in Singapore to exchange threat intel and best practices.
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Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments
Agentic systems have evolved rapidly in recent years, showing potential to solve complex tasks that mimic human-like decision-making processes. These systems are designed to act step-by-step, analyzing intermediate stages in tasks like humans do. However, one of the biggest challenges in this field is evaluating these systems effectively. Traditional evaluation methods focus only on the…
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Meta Introduces Spirit LM open source model that combines text and speech inputs/outputs
Spirit LM Expressive incorporates emotional cues into its speech generation and can detect and reflect anger, surprise, or joy.Read More
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Meta AI Releases Meta Spirit LM: An Open Source Multimodal Language Model Mixing Text and Speech
One of the primary challenges in developing advanced text-to-speech (TTS) systems is the lack of expressivity when transcribing and generating speech. Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS.…
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Microsoft Open-Sources bitnet.cpp: A Super-Efficient 1-bit LLM Inference Framework that Runs Directly on CPUs
The rapid growth of large language models (LLMs) has brought impressive capabilities, but it has also highlighted significant challenges related to resource consumption and scalability. LLMs often require extensive GPU infrastructure and enormous amounts of power, making them costly to deploy and maintain. This has particularly limited their accessibility for smaller enterprises or individual users…
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Social Media Swallowed Gen Z. This Film Shows Exactly How
Lauren Greenfield, director of the docuseries Social Studies, says we have to have empathy for teens growing up online. “It’s not fair to ask them to self-regulate when the apps have been designed to be addictive.”
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Meet Vast Data CEO Renen Hallak, a 2024 BigDATAwire Person to Watch
The rise of AI has highlighted the need for a new generation of storage solutions that combine compute, software, and services. One of the company’s developing such a system is VAST Data, which has quickly established itself as one of the leading vendors in the space. We recently had a chance to sit down with…