Meet MedGAN: A Deep Learning Model based on Wasserstein Generative Adversarial Networks and Graph Convolutional Networks for Novel Molecule Design
The growing urgency for innovative drugs in various medical fields, such as antibiotics, cancer treatments, autoimmune disorders, and antiviral therapies, underscores the need for increased research and development efforts. Drug…
Gen-AI tools deliver unprecedented, near-perfect data accuracy
Latest results deliver 99% accuracy, ready for enterprise decisioning following benchmark test Stratio BD, a leading generative AI and data specialist, today announces that generative AI tools are 99% accurate…
Decoding Human Risky Choices: Unveiling Dataset Bias in Decision-Making Models Using Machine Learning
In understanding choices, there are two main models: normative and descriptive. Normative models explain why people should make certain decisions based on principles, while explanatory models aim to capture how…
Researchers from the University of Wisconsin-Madison Challenge the Efficacy of Score-based Generative Models: A Surprising Revelation of Gaussian Mimicry in High-Quality Data Generation
Score-based Generative Models (SGMs) are a prominent approach in generative modeling, celebrated for their capacity to produce high-quality samples from intricate, high-dimensional data distributions. This method has garnered empirical success…
This AI Paper Demonstrates How Decoder-Only Transformers Mimic Infinite Multi-State Recurrent Neural Networks RNNs and Introduces TOVA for Enhanced Efficiency
Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually because they directly access each token in a…
Rackspace Technology promotes Mark Marino to CFO
Rackspace Technology® (NASDAQ: RXT), a leading end-to-end, hybrid multicloud technology solutions company, today announced the appointment of Mark Marino as Chief Financial Officer (CFO), effective immediately. Marino previously served as…
Researchers from Google AI and Tel-Aviv University Introduce PALP: A Novel Personalization Method that Allows Better Prompt Alignment of Text-to-Image Models
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…
Meet Parrot: A Novel Multi-Reward Reinforcement Learning RL Framework for Text-to-Image Generation
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…
This AI Paper from UCSD and Google AI Proposes Chain-of-Table Framework: Enhancing the Reasoning Capability of LLMs by Leveraging the Tabular Structure
A notable challenge in artificial intelligence has been interpreting and reasoning with tabular data using natural language processing. Unlike traditional text, tables are a more complex medium, rich in structured…
RUDN University Mathematicians Enhance 5G and 6G Networks with Advanced Machine Learning: Pioneering Traffic Forecasting for Smarter Radio Resource Management
The introduction of fifth-generation (5G) and sixth-generation (6G) networks has brought new possibilities. But, they need dynamic radio resource management (RRM). These networks are helpful in advanced technologies like drones…