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Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation

AI NewsMay 17, 202557Views 0Likes 0Comments

Multimodal modeling focuses on building systems to understand and generate content across visual and textual formats. These models are designed to interpret visual scenes and produce new images using natural language prompts. With growing interest in bridging vision and language, researchers are working toward integrating image recognition and image generation capabilities into a unified system.…

AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms

OpenAIMay 17, 202561Views 0Likes 0Comments

New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators Source link

How to Set the Number of Trees in Random Forest

Data ScienceMay 17, 202567Views 0Likes 0Comments

Scientific publication T. M. Lange, M. Gültas, A. O. Schmitt & F. Heinrich (2025). optRF: Optimising random forest stability by determining the optimal number of trees. BMC bioinformatics, 26(1), 95. Follow this LINK to the original publication. Random Forest — A Powerful Tool for Anyone Working With Data What is Random Forest? Have you ever wished you…

Multimodal LLMs Without Compromise: Researchers from UCLA, UW–Madison, and Adobe Introduce X-Fusion to Add Vision to Frozen Language Models Without Losing Language Capabilities

AI NewsMay 12, 202564Views 0Likes 0Comments

LLMs have made significant strides in language-related tasks such as conversational AI, reasoning, and code generation. However, human communication extends beyond text, often incorporating visual elements to enhance understanding. To create a truly versatile AI, models need the ability to process and generate text and visual information simultaneously. Training such unified vision-language models from scratch…

Coding, web apps with Gemini

OpenAIMay 12, 202568Views 0Likes 0Comments

Today we're releasing early access to Gemini 2.5 Pro Preview (I/O edition), an updated version of 2.5 Pro that has significantly improved capabilities for coding, especially building compelling interactive web apps. We were going to release this update at Google I/O in a couple weeks, but based on the overwhelming enthusiasm for this model, we…

University of Michigan Researchers Introduce OceanSim: A High-Performance GPU-Accelerated Underwater Simulator for Advanced Marine Robotics

RoboticsMay 12, 202576Views 0Likes 0Comments

Marine robotic platforms support various applications, including marine exploration, underwater infrastructure inspection, and ocean environment monitoring. While reliable perception systems enable robots to sense their surroundings, detect objects, and navigate complex underwater terrains independently, developing these systems presents unique difficulties compared to their terrestrial counterparts. Collecting real-world underwater data requires complex hardware, controlled experimental setups,…

What My GPT Stylist Taught Me About Prompting Better

Data ScienceMay 12, 202570Views 0Likes 0Comments

When I built a GPT-powered fashion assistant, I expected runway looks—not memory loss, hallucinations, or semantic déjà vu. But what unfolded became a lesson in how prompting really works—and why LLMs are more like wild animals than tools. This article builds on my previous article on TDS, where I introduced Glitter as a proof-of-concept GPT…

Gemini 2.5 Pro Preview: even better coding performance

OpenAIMay 7, 202568Views 0Likes 0Comments

We’ve seen developers doing amazing things with Gemini 2.5 Pro, so we decided to release an updated version a couple of weeks early to get into developers hands sooner. Today we’re excited to release Gemini 2.5 Pro Preview (I/O edition). This update features even stronger coding capabilities, for you to start building with before Google…

Regression Discontinuity Design: How It Works and When to Use It

Data ScienceMay 7, 202582Views 0Likes 0Comments

Regression Discontinuity Design: How It Works and When to Use It You’re an avid data scientist and experimenter. You know that randomisation is the summit of Mount Evidence Credibility, and you also know that when you can’t randomise, you resort to observational data and Causal Inference techniques. At your disposal are various methods for spinning…

UniME: A Two-Stage Framework for Enhancing Multimodal Representation Learning with MLLMs

AI NewsMay 2, 202571Views 0Likes 0Comments

The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict 77-token cap on text input, a dual-encoder design that separates image and text processing, and a limited compositional understanding that resembles bag-of-words models. These issues hinder its effectiveness in capturing nuanced,…