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Researchers at Northwestern University have Proposed a Groundbreaking Machine-Learning Framework for off-grid Medical Data Classification Cutting AI Energy Use by 99% Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

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​ In a recent development, Researchers at Northwestern University have proposed a groundbreaking machine learning framework for off-grid medical data classification and diagnosis, particularly in the context of electrocardiogram (ECG) interpretation. The paper discusses the challenges of implementing support vector machine (SVM) algorithms for ECG… Read More »Researchers at Northwestern University have Proposed a Groundbreaking Machine-Learning Framework for off-grid Medical Data Classification Cutting AI Energy Use by 99% Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

Meet GPT-4V-Act: A Multimodal AI Assistant that Harmoniously Combines GPT-4V(ision) with a Web Browser Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ A Machine Learning researcher shared the release of their latest project, GPT-4V-Act, with the Reddit community recently. This idea was sparked by a recent discussion of the visual grounding strategy known as Set-of-Mark in GPT-4V. Intriguingly, tests demonstrated that GPT-4V with this capability could… Read More »Meet GPT-4V-Act: A Multimodal AI Assistant that Harmoniously Combines GPT-4V(ision) with a Web Browser Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Revolutionizing Video Object Segmentation: Unveiling Cutie with Advanced Object-Level Memory Reading Techniques Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Tracking and segmenting objects from an open vocabulary defined in a first-frame annotation is necessary for Video Object Segmentation (VOS), more precisely, the “semisupervised” option. VOS techniques may be coupled with Segment Anything Models (SAMs) for all-purpose video segmentation (such as Tracking Anything) and… Read More »Revolutionizing Video Object Segmentation: Unveiling Cutie with Advanced Object-Level Memory Reading Techniques Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Adept AI Open-Sources Fuyu-8B: A Multimodal Architecture for Artificial Intelligence Agents Madhur Garg Artificial Intelligence Category – MarkTechPost

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​ In artificial intelligence, the seamless fusion of textual and visual data has long been a complex challenge, particularly in crafting highly efficient digital agents. Adept AI’s recent launch of Fuyu-8B signifies a groundbreaking leap forward in simplifying the comprehension of multimodal images. Tailored to… Read More »Adept AI Open-Sources Fuyu-8B: A Multimodal Architecture for Artificial Intelligence Agents Madhur Garg Artificial Intelligence Category – MarkTechPost

A Comprehensive Review of Video Diffusion Models in the Artificial Intelligence Generated Content (AIGC) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ Artificial Intelligence is booming, and so is its sub-field, i.e., the domain of Computer Vision. From researchers and academics to scholars, it is getting a lot of attention and is making a big impact on a lot of different industries and applications, like computer… Read More »A Comprehensive Review of Video Diffusion Models in the Artificial Intelligence Generated Content (AIGC) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Meet Llemma: The Next-Gen Mathematical Open-Language Model Surpassing Current Benchmarks Janhavi Lande Artificial Intelligence Category – MarkTechPost

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​ Language models trained on diverse mixtures of text display remarkably general language understanding and generation capabilities, serving as base models that are adapted to a wide range of applications. In this study, a team of researchers from Princeton University, EleutherAI, University of Toronto, Vector… Read More »Meet Llemma: The Next-Gen Mathematical Open-Language Model Surpassing Current Benchmarks Janhavi Lande Artificial Intelligence Category – MarkTechPost

Audioplethysmography for cardiac monitoring with hearable devices Google AI Google AI Blog

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​Posted by Xiaoran “Van” Fan, Experimental Scientist, and Trausti Thormundsson, Director, Google The market for true wireless stereo (TWS) active noise canceling (ANC) hearables (headphones and earbuds) has been soaring in recent years, and the global shipment volume will nearly double that of smart wristbands… Read More »Audioplethysmography for cardiac monitoring with hearable devices Google AI Google AI Blog

Meet FourCastNet: A Global Data-Driven Weather Forecasting Model Revolutionizing Weather Predictions with Fast and Accurate Deep Learning Approach Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ In the 1920s, numerical weather prediction (NWP) emerged. They are pervasive and help with economic planning in important industries, including transportation, logistics, agriculture, and energy production. Numerous lives have been saved by accurate weather predictions that warned of severe catastrophes in advance. Over the… Read More »Meet FourCastNet: A Global Data-Driven Weather Forecasting Model Revolutionizing Weather Predictions with Fast and Accurate Deep Learning Approach Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

List of Artificial Intelligence AI Advancements by Non-Profit Researchers Arham Islam Artificial Intelligence Category – MarkTechPost

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​ Late last year and so far this year, 2023 has been a great time for AI people to create AI applications, and this is possible due to a list of AI advancements by non-profit researchers. Here is a list of them: ALiBi ALiBi is… Read More »List of Artificial Intelligence AI Advancements by Non-Profit Researchers Arham Islam Artificial Intelligence Category – MarkTechPost

This AI Paper Unveils the Secrets to Optimizing Large Language Models: Balancing Rewards and Preventing Overoptimization Adnan Hassan Artificial Intelligence Category – MarkTechPost

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​ A team of researchers from UC Berkeley, UCL, CMU, and Google Deepmind address the challenge of optimising large language models using composite reward models derived from various simpler reward models. These hybrid models often need help with the appropriate weighting of component models, leading… Read More »This AI Paper Unveils the Secrets to Optimizing Large Language Models: Balancing Rewards and Preventing Overoptimization Adnan Hassan Artificial Intelligence Category – MarkTechPost