This Deep Learning Research Unveils Distinct Brain Changes in Adolescents with ADHD: A Breakthrough in MRI Scan Analysis Madhur Garg Artificial Intelligence Category – MarkTechPost

In a groundbreaking development, researchers have harnessed the power of artificial intelligence (AI) to address the inherent challenges in diagnosing Attention Deficit-Hyperactivity Disorder (ADHD) among adolescents. The conventional diagnostic landscape, reliant on subjective self-reported surveys, has long faced criticism for its lack of objectivity.… Read More »This Deep Learning Research Unveils Distinct Brain Changes in Adolescents with ADHD: A Breakthrough in MRI Scan Analysis Madhur Garg Artificial Intelligence Category – MarkTechPost

CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. Extensive efforts have led to… Read More »CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text Adnan Hassan Artificial Intelligence Category – MarkTechPost

The study conducted by researchers at Cornell University addresses the problem of language model inversion. They discovered that the next-token probabilities contain significant information about the preceding text. To solve this problem, they introduced a method to reconstruct unknown prompts using only the model’s… Read More »Cornell Researchers Uncover Insights into Language Model Prompts: A Deep Dive into How Next-Token Probabilities Can Reveal Hidden Text Adnan Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

The recent release of ChatGPT last year has taken the Artificial Intelligence community by storm. Based on GPT’s transformer architecture, which is the latest Large Language Model, ChatGPT has had a significant impact on both academic and commercial applications. The chatbot can easily respond… Read More »This AI Paper Releases a Detailed Review of Open-Source Large Language Models that Claim to Catch up with or Surpass ChatGPT in Different Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Fast Optimal Locally Private Mean Estimation via Random Projections Apple Machine Learning Research

We study the problem of locally private mean estimation of high-dimensional vectors in the Euclidean ball. Existing algorithms for this problem either incur sub-optimal error or have high communication and/or run-time complexity. We propose a new algorithmic framework, ProjUnit, for private mean estimation that yields… Read More »Fast Optimal Locally Private Mean Estimation via Random Projections Apple Machine Learning Research

Manifold Diffusion Fields Apple Machine Learning Research

This paper was accepted at the Diffusion Models workshop at NeurIPS 2023. Score-based models have quickly become the de facto choice for generative modeling of images, text and more recently molecules. However, to adapt a score-based generative modeling to these domains the score network needs… Read More »Manifold Diffusion Fields Apple Machine Learning Research

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation Apple Machine Learning Research

This paper was accepted at the workshop I Can’t Believe It’s Not Better! (ICBINB) at NeurIPS 2023. Recent advances in image tokenizers, such as VQ-VAE, have enabled text-to-image generation using auto-regressive methods, similar to language modeling. However, these methods have yet to leverage pre-trained language… Read More »Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation Apple Machine Learning Research

Generating Molecular Conformers with Manifold Diffusion Fields Apple Machine Learning Research

This paper was accepted at Generative AI and Biology workshop at NeurIPS 2023. In this paper we tackle the problem of generating a molecule conformation in 3D space given its 2D structure. We approach this problem through the lens of a diffusion model for functions… Read More »Generating Molecular Conformers with Manifold Diffusion Fields Apple Machine Learning Research

Controllable Music Production with Diffusion Models and Guidance Gradients Apple Machine Learning Research

This paper was accepted at the NeurIPS 2023 workshop on Diffusion Models. We demonstrate how conditional generation from diffusion models can be used to tackle a variety of realistic tasks in the production of music in 44.1kHz stereo audio with sampling-time guidance. The scenarios we… Read More »Controllable Music Production with Diffusion Models and Guidance Gradients Apple Machine Learning Research

Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’ Niharika Singh Artificial Intelligence Category – MarkTechPost

Perplexity, an innovative AI startup, has introduced a solution to transform information retrieval systems. This launch introduces two new large language models (LLMs), pplx-7b-online and pplx-70b-online, which mark the pioneering foray into publicly accessible online LLMs via an API. Unlike traditional offline LLMs like… Read More »Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’ Niharika Singh Artificial Intelligence Category – MarkTechPost

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