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Graph & Geometric ML in 2024: Where We Are and What’s Next (Part II — Applications) | by Michael Galkin | Jan, 2024

Data ScienceJanuary 16, 202465Views 0Likes 0Comments

Luca Naef (VantAI) 🔥What are the biggest advancements in the field you noticed in 2023? 1️⃣ Increasing multi-modality & modularity — as shown by the emergence of initial co-folding methods for both proteins & small molecules, diffusion and non-diffusion-based, to extend on AF2 success: DiffusionProteinLigand in the last days of 2022 and RFDiffusion, AlphaFold2 and…

SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

Data AnalyticsJanuary 15, 202447Views 0Likes 0Comments

Image by Freepik SQL (Structured Query Language) is a programming language used for managing and manipulating data. That is why SQL queries are very essential for interacting with databases in a structured and efficient manner. Grouping in SQL serves as a powerful tool for organizing and analyzing data. It helps in extraction of…

Meet Parrot: A Novel Multi-Reward Reinforcement Learning RL Framework for Text-to-Image Generation

AI NewsJanuary 15, 202455Views 0Likes 0Comments

A pressing issue emerges in text-to-image (T2I) generation using reinforcement learning (RL) with quality rewards. Even though potential enhancement in image quality through reinforcement learning RL has been observed, the aggregation of multiple rewards can lead to over-optimization in certain metrics and degradation in others. Manual determination of optimal weights becomes a challenging task. This…

The Rise of Vision Transformers. Is the era of ResNet coming to an end? | by Nate Cibik

Data ScienceJanuary 15, 202457Views 0Likes 0Comments

And so, it appears that the answer is not a fight to the death between CNNs and Transformers (see the many overindulgent eulogies for LSTMs), but rather something a bit more romantic. Not only does the adoption of 2D convolutions in hierarchical transformers like CvT and PVTv2 conveniently create multiscale features, reduce the complexity of…

Workflow, tools, and accuracy tips

UncategorizedJanuary 15, 202442Views 0Likes 0Comments

Have you ever needed to extract data from a PDF or scanned document into a spreadsheet? OCR can be a real timesaver. Simply scan your documents and convert the images into editable, searchable text. OCR makes data extraction easy, whether working with PDFs, photos, or scanned pages. This guide will walk you through the OCR…

How to Solve Real-Life Problems of Bank Reconciliations (With Examples)

NanonetsJanuary 15, 202439Views 0Likes 0Comments

Bank reconciliation is the process of matching the company’s cash ledger with the bank statements. The objective is to scrutinize each transaction and identify any errors or potential fraud. The two ledgers generally don’t match due to factors such as bank fees, interest, outstanding checks, and deposits in transit. These discrepancies must be accounted for…

Researchers from Google AI and Tel-Aviv University Introduce PALP: A Novel Personalization Method that Allows Better Prompt Alignment of Text-to-Image Models

AI NewsJanuary 15, 202440Views 0Likes 0Comments

Researchers from Tel-Aviv University and Google Research introduced a new method of user-specific or personalized text-to-image conversion called Prompt-Aligned Personalization (PALP). Generating personalized images from text is a challenging task and requires the presence of diverse elements like specific location, style, or (/and) ambiance. Existing methods compromise personalization or prompt alignment. The most difficult challenge…

MLBasics — Simple Linear Regression | by Josep Ferrer | Medium

Data ScienceJanuary 15, 202440Views 0Likes 0Comments

In the world of data and computer programs, the concept of Machine Learning might sound like a tough nut to crack, full of tricky math and complex ideas. This is why today I want to slow down and check out the basic stuff that makes all this work. I’m kicking off a fresh set of…

This AI Paper Introduces the Open-Vocabulary SAM: A SAM-Inspired Model Designed for Simultaneous Interactive Segmentation and Recognition

AI NewsJanuary 15, 202444Views 0Likes 0Comments

Combining CLIP and the Segment Anything Model (SAM) is a groundbreaking Vision Foundation Models (VFMs) approach. SAM performs superior segmentation tasks across diverse domains, while CLIP is renowned for its exceptional zero-shot recognition capabilities. While SAM and CLIP offer significant advantages, they also come with inherent limitations in their original designs. SAM, for instance, cannot…

Running Local LLMs and VLMs on the Raspberry Pi | by Pye Sone Kyaw | Jan, 2024

Data ScienceJanuary 14, 202446Views 0Likes 0Comments

Get models like Phi-2, Mistral, and LLaVA running locally on a Raspberry Pi with Ollama Host LLMs and VLMs using Ollama on the Raspberry Pi — Source: AuthorEver thought of running your own large language models (LLMs) or vision language models (VLMs) on your own device? You probably did, but the thoughts of setting things…