A University of Geneva study, led by Alexandre Pouget, demonstrated a machine-learning algorithm can identify Bordeaux red wines’ chateaux of origin by their chemical profiles with 100% accuracy. The algorithm also recognized vintage years with 50% accuracy and confirmed the chemical foundation of terroir.

The text discusses integrating Amazon Comprehend and Amazon Kendra to enrich enterprise search capabilities. Structured and unstructured data are rapidly growing, and using custom metadata helps categorize information. Amazon Comprehend can identify document types and entities, which Amazon Kendra then uses to filter search results, including facets for better searching. The solution is particularly applied…

Stability AI’s SDXL Turbo utilizes Adversarial Diffusion Distillation (ADD) for rapid, high-fidelity text-to-image synthesis, outperforming multi-step models with a single-step process, detailed in their research paper. It’s demonstrated in real-time on Clipdrop and hailed for its exceptional image quality and speed on computational platforms.

Research from various institutions proposes the GREAT PLEA ethical framework for generative AI in healthcare, mirroring military ethics, to ensure transparency, fairness, and empathy in AI deployment, and calls for user education on AI systems to improve trust and patient care.

Small Language Models (SLMs) are emerging as an efficient, adaptable, and secure alternative to Large Language Models, offering benefits in training cost, deployment, transparency, and accuracy for resource-constrained applications. SLMs like DistilBERT, Orca 2, and versions of BERT are increasingly applied in customer service, product development, email automation, and personalized marketing.

Protopia AI and AWS have partnered to provide a tool called Stained Glass Transform (SGT), enabling businesses to deploy large language models (LLMs) securely without compromising data privacy. SGT protects sensitive information in prompts and fine-tuning data by converting them into randomized re-representations, preserving usability and accuracy. This facilitates responsible AI implementation and competitive advantage…

Lasso Security discovered 1,681 exposed API tokens with varying access levels in code on HuggingFace and GitHub, posing significant security risks. Tokens could potentially allow unauthorized modifications to popular AI models, with consequences if misused. The issue was addressed by revoking the compromised tokens.

AstraZeneca invests $247 million in Absci to develop an AI-generated antibody for unspecified cancer treatment. Absci’s AI platform aims to accelerate discovery by simulating protein interactions and validation in wet-labs, potentially revolutionizing oncology drug development with a promised rapid advancement cycle.

This paper, accepted for NeurIPS 2023’s Diffusion Models workshop, discusses the challenges in adapting score-based generative models to various data domains and proposes a solution using a functional view of data for a unified representation and reformulated score function.

A study reveals that artificial intelligence systems, used in areas like self-driving cars and medical imaging, are more susceptible to deliberate attacks that can trigger incorrect decisions than previously understood.