EXPLAIN, AGREE, LEARN (EXAL) Method: A Transforming Approach to Scaling Learning in Neuro-Symbolic AI with Enhanced Accuracy and Efficiency for Complex Tasks

A new model, MM-Grounding-DINO, is proposed by Shanghai AI Lab and SenseTime Research for unified object grounding and detection tasks. This user-friendly and open-source pipeline outperforms existing models in various domains, achieving state-of-the-art performance and setting…

Amazon announced the integration of Amazon DocumentDB (with MongoDB compatibility) with Amazon SageMaker Canvas, enabling users to develop generative AI and machine learning models without coding. This integration simplifies analytics on unstructured data, removing the need…

Deep active learning combines traditional neural network training with strategic data sample selection, leading to improved model performance, efficiency, and accuracy in various applications.

Understanding AI Hallucinations and Practical Solutions A Cautionary Note “Don’t believe everything you get from ChatGPT“ – Abraham Lincoln. AI can sometimes generate information that seems accurate but is actually false. This issue, known as hallucinations,…

The development of artificial intelligence (AI) has led to extensive research across various disciplines. One area of focus is separating 3D data from 2D photos. Current methods for extracting 3D information from 2D images are deemed…

Researchers have developed a method called “SneakyPrompt” that can bypass safety filters in popular text-to-image AI models, allowing them to generate inappropriate and disturbing images. The researchers highlight the ease with which AI models can be…

Revolutionize Large-Scale Information Retrieval Evaluation and Relevance Assessment with SynDL As data grows exponentially, the need for advanced retrieval systems becomes increasingly critical. SynDL, a synthetic test collection, leverages large language models to transform the evaluation…

Understanding Aging and Brain Health Aging is closely associated with an increase in neurodegenerative diseases like Alzheimer’s and cognitive decline. While we know that brain aging involves complex changes, our understanding of these changes in their…

Veriff is an identity verification platform partner for organizations in various industries. They use advanced technology, including AI-powered automation and human feedback, to verify user identities. Veriff standardized their model deployment workflow using Amazon SageMaker, reducing…

AI’s pervasive role has raised concerns about the amplification of biases. A recent study reveals covert racism in language models, particularly in their negative associations with African American English (AAE) speakers. The research emphasizes the pressing…

The research explores efficient ways to update large language models (LLMs) without the need for time-consuming re-training. The approach, continual pre-training, integrates new data while retaining previous knowledge, effectively reducing computational load. Researchers demonstrate its effectiveness…

Artificial Intelligence Advancements Artificial intelligence (AI) has significantly improved in developing language models that can tackle complex problems. However, using these models for real-world scientific challenges is still challenging. Many AI agents find it hard to…

The Kendall Square Association’s 15th annual meeting, titled “Looking Back, Looking Ahead,” allowed members of the community to reflect on the region’s progress and discuss future plans. The event featured talks on recent funding achievements, a…

AI has become a powerful tool for conservation, aiding in the monitoring of rare species, preventing pollution, and tracking animal movement. Whale conservationist Ted Cheeseman’s company, HappyWhale, uses AI to enhance whale watching by identifying whales…

Improving Breast Cancer Diagnosis with AI Key Challenges in Breast Cancer Diagnosis Access to mammography datasets and advanced machine-learning techniques is essential for better breast cancer diagnosis. However, researchers face challenges such as: Limited access to…

Practical AI Solutions for Your Company Improving Performance with In-Context Abstraction Learning (ICAL) Learn how ICAL can help your business stay competitive by enhancing your AI capabilities. Key Steps to Evolve with AI Discover how AI…

OpenAI CEO Sam Altman discussed the development of their next-generation AI model, GPT-5, at a recent conference. He highlighted the challenges in AI development and the progression of OpenAI’s models. GPT-4 Turbo and the “GPTs” function…

Practical Solutions for AI Data Challenges Optimizing AI Models with Advanced Data AI models require high-quality data for optimal performance, which can be challenging to obtain and organize. Publicly available datasets may not always be suitable,…