Researchers from Washington University in St. Louis’s McKelvey School of Engineering have developed the Visual Active Search (VAS) framework, leveraging computer vision and adaptive learning to enhance geospatial exploration for combating illegal poaching and human trafficking. The framework has shown superior capabilities in detection and offers promise for broader applications in various domains.

“VMamba” is a new visual representation learning architecture developed by a team of researchers at UCAS, Huawei Inc., and Pengcheng Lab. It addresses the limitations of Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) by combining their strengths without inheriting their computational and representational inefficiencies. The model’s innovative Cross-Scan Module (CSM) and selective scan mechanism…

Zhipu AI unveiled GLM-4 in Beijing, a new model addressing challenges in Large Language Models. It supports a 128k token context length, achieving nearly 100% accuracy with long inputs and introducing the GLM-4 All Tools for autonomous complex task execution. Its multimodal capabilities and versatility make it a competitive choice for businesses, challenging existing models…

The rise of AI-generated deep fakes, known as “liar’s dividend,” is troubling as it impacts politics, society, and individuals. Deep fakes can distort truth and manipulate public perception, with experts struggling to reliably differentiate real from fake content. Efforts to curb deep fakes have been ineffective, raising concerns about the destabilization of truth.

CognoSpeak, developed by the University of Sheffield, is an AI tool for faster dementia and Alzheimer’s diagnosis. It analyzes speech patterns and cognitive tests, demonstrating accuracy comparable to traditional assessments. The tool is undergoing broader trials in UK memory clinics and shows potential to reduce waiting times and provide early treatment. AI supports neurological disorders…

MathVista is introduced as a comprehensive benchmark for mathematical reasoning in visual contexts. It amalgamates challenges from various multimodal datasets, aiming to refine mathematical reasoning in AI systems. Researchers from UCLA, University of Washington, and Microsoft extensively evaluate foundation models and highlight the potential of GPT-4V in achieving a state-of-the-art accuracy of 49.9%.

This text discusses the advancements in language modeling through the use of large language models (LLMs) and the challenges faced in optimizing these models for distributed training. It introduces an innovative asynchronous method that combines delayed Nesterov momentum updates and dynamic local updates, showcasing significant improvements in training efficiency for language models.

New York City enacted Law 144, regulating automated employment decision tools (AEDTs) to combat biases in hiring. The law requires auditing for bias, transparency notices, and sets fines for non-compliance. However, researchers from Cornell University found low compliance due to vague definitions and employer discretion. This raises questions about its effectiveness in addressing bias in…

The promise of robotaxis seemed imminent in 2023, but it came crashing down after tragic accidents involving Cruise, suspending its operations in California. While other companies like Waymo and Baidu continue their robotaxi services, challenges such as high costs, scalability issues, and safety concerns persist. The industry is poised for significant changes in 2024, but…

Google DeepMind recently created AlphaGeometry, an AI system combining a language model and a symbolic engine to solve complex geometry problems, demonstrating progress in AI reasoning skills. However, human understanding of technology is crucial to harness AI’s potential, as argued by Conrad Wolfram. AI is also being deployed to address racial segregation in South Africa…