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04 Jun

A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing

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arXiv:2406.00239v1 Announce Type: new Abstract: Research in neural models inspired by mammal's visual cortex has led to many spiking neural networks such as pulse-coupled neural networks (PCNNs). These models are oscillating, spatio-temporal models stimulated with images to produce several time-based responses. This paper reviews PCNN's state of the art, covering its mathematical formulation, variants, and other simplifications found in the literature. We present several applications in which PCNN architectures have successfully addressed some fundamental image processing and computer vision challenges, including image segmentation, edge detection, medical imaging, image fusion, image compression, object recognition, and remote sensing. Results achieved in these…

04 Jun

LocMoE+: Enhanced Router with Token Feature Awareness for Efficient LLM Pre-Training

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol

04 Jun

Databricks Nabs Iceberg-Maker Tabular to Spawn Table Uniformity

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(Maksim-Kabakou/Shutterstock) Databricks today announced the acquisition of Tabular, the commercial outfit behind the Apache Iceberg table format, which competes with Databricks’ own Delta format, paving the way for Databricks customers to enjoy more uniformity and less incompatibilities in their data lakehouse environments. The deal reportedly was valued at more than $1 billion. Open table formats have become the new battleground for control of data lakehouses, those data platforms that blend the scalability and flexibility of data lakes with the ACID transactionality and reliability of traditional data warehouses. Apache Hudi, Apache Iceberg, and Databricks’ Delta have been locked in a three-way…

04 Jun

The Next Generation of Databricks Notebooks: Simple and Powerful

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Over the last year, we’ve been listening to feedback and iterating on new ideas with a single goal: to build the best data-focused authoring experience for data scientists, engineers, and SQL analysts. Today, we are excited to introduce the next generation of Databricks Notebooks with a sleek, modern interface and powerful new features designed to simplify coding and data analysis. Key enhancements include:Modern UX: Enjoy a streamlined coding experience with the GA of the new Notebook UI and other features to enhance Notebook organization.New Results Table: Perform no-code data exploration with search and filtering directly on result output. More powerful Python features:…

04 Jun

ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy

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arXiv:2406.00118v1 Announce Type: new Abstract: Motivation: Unanticipated drug-drug interactions (DDIs) pose significant risks in polypharmacy, emphasizing the need for predictive methods. Recent advancements in computational techniques aim to address this challenge. Methods: We introduce ADEP, a novel approach integrating a discriminator and an encoder-decoder model to address data sparsity and enhance feature extraction. ADEP employs a three-part model, including multiple classification methods, to predict adverse effects in polypharmacy. Results: Evaluation on benchmark datasets shows ADEP outperforms well-known methods such as GGI-DDI, SSF-DDI, LSFC, DPSP, GNN-DDI, MSTE, MDF-SA-DDI, NNPS, DDIMDL, Random Forest, K-Nearest-Neighbor, Logistic Regression, and Decision Tree. Key metrics include…

04 Jun

ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol

04 Jun

Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning

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arXiv:2406.00022v1 Announce Type: new Abstract: The field of prosody transfer in speech synthesis systems is rapidly advancing. This research is focused on evaluating learning methods for adapting pre-trained monolingual text-to-speech (TTS) models to multilingual conditions, i.e., Supervised Fine-Tuning (SFT) and Transfer Learning (TL). This comparison utilizes three distinct metrics: Mean Opinion Score (MOS), Recognition Accuracy (RA), and Mel Cepstral Distortion (MCD). Results demonstrate that, in comparison to SFT, TL leads to significantly enhanced performance, with an average MOS higher by 1.53 points, a 37.5% increase in RA, and approximately a 7.8-point improvement in MCD. These findings are instrumental in helping…

04 Jun

Snowflake Gives Cloud Customers What They Need and Want at Summit 2024

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Snowflake Sridhar Ramaswamy delivers the keynote at Data Cloud Summit 2024 Monday June 3 AI is like candy these days, enticing enterprises with the promise of amazing things to come. But AI doesn’t work without a good solid data foundation. Snowflake seems to understand this, which is why the company is spending time at its Data Cloud Summit today giving customers what they want (AI) as well as what they need (better data), all washed down with extensive enhancements to the developer experience. While AI is all the rage these days–and Snowflake CEO Sridhar Ramaswamy, hailing from AI search vendor…

04 Jun

How Science Fiction Can Help Businesses Prepare for the Future of AI

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The below article is a summary of the 4th episode of the Synthetic Minds podcast. Science fiction author and technologist Brenda Cooper brings a unique lens by seamlessly blending her real-world tech experience with speculative storytelling to explore future possibilities. Her novels “Edge of Dark” and “Wilders” delve into themes like environmental sustainability, AI/robotics evolution, and societal shifts. Cooper's approach melds practical knowledge with imaginative projections, offering profound insights into the intricacies and responsibilities surrounding technological progress. A central focus is the convergence of rapidly advancing technologies and society's adaptability. Drawing from her construction industry background utilizing basic AI/robotics, Cooper…

04 Jun

Databricks + Tabular

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We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks, and Jason Reid. This acquisition brings the original creators of Apache Iceberg™ and those of Linux Foundation Delta Lake, the two leading open source lakehouse formats, together. As one, we are going to lead the way with data compatibility so that you are no longer limited by which lakehouse format your data is in. This blog will go through how we intend to work closely with the Iceberg and Delta Lake communities to bring format compatibility to…