-
SoftPatch: A Memory-Based Unsupervised Anomaly Detection AD Method that Efficiently Denoises the Data at the Patch Level
-
This AI Paper from China Proposes a Lightweight Machine Learning Method that Enhances Scalable Structural Inference and Dynamic Prediction Accuracy
-
BrainBox AI Launches ARIA: The World’s First Generative AI-Powered Virtual Building Assistant
-
AI could make better beer. Here’s how.
New AI models can accurately assess consumer ratings and recommend compound additions to improve the taste of beers. The models, trained on chemical data and sensory assessments of 250 beers, outperformed human tasters in predicting consumer ratings. This approach could benefit food and drink development, potentially leading to better alcohol-free beers and customized products for…
-
Boost Creativity by Embracing Scrum Framework Constraints
Agile teams may find creativity within Scrum’s constraints, as frameworks like Scrum enhance creativity. Examples from Shakespeare, Friends, and Wile E. Coyote demonstrate how constraints foster creativity. Agile teams face size and sprint constraints, driving innovative problem-solving. Constraints, as outlined in “A Beautiful Constraint,” can actually fuel creative solutions.
-
Meet the MIT Technology Review AI team in London
The UK is set to host EmTech Digital, a conference that will gather top AI minds in Europe. From mapping AI innovation to discussing the AI Act’s impacts on regulations, the conference promises insightful sessions. With prominent figures and post-conference drinks, it’s an opportunity to delve into AI’s transformative potential. Join the event in London…
-
LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boosting Large Language Model Performance in Low-Data Regimes with Synthetic Data
-
The Idea of Compiler-Generated Feedback for Large Language Models
-
How Adobe’s bet on non-exploitative AI is paying off
Adobe’s image-generating model Firefly, integrated into Photoshop, is built on licensed data, standing out in how generative AI products can be developed without scraping copyrighted material from the web. With an emphasis on responsible tech and fair compensation for creators, Adobe’s approach sets a new standard in the industry, addressing societal and business goals.
-
DomainLab: A Modular Python Package for Domain Generalization in Deep Learning