Artificial Intelligence
The einx Python library offers a streamlined approach to complex tensor operations using Einstein notation. With support for major tensor frameworks, it facilitates concise expressions and just-in-time compilation for efficient execution. Its simple installation and vast manipulation capabilities make it a valuable asset for deep learning applications across various domains.
Artificial Intelligence has seen a revolution due to deep learning, driven by neural networks and specialized hardware. The shift has advanced fields like machine translation, natural language understanding, and computer vision, influencing diverse areas such as robotics and biology. The research highlights the transformative impact of AI in information retrieval and its versatile applications across…
The article discusses the roller-coaster ride of robotaxis in the US, focusing on rebuilding public trust and finding a realistic business model. It also compares the US and Chinese markets, highlighting China’s proactive regulation and the potential for American and Chinese companies to compete in the Middle East. The piece also touches upon current events…
Google Research has introduced Lumiere, a revolutionary text-to-video diffusion model. It can generate realistic videos from text or image inputs, outperforming other models in motion coherence and visual consistency. Lumiere offers various features including text-to-video, image-to-video, stylized generation, and video editing capabilities. Its innovative approach received high user preference in a recent study, showcasing its…
Large Language Models (LLMs) are gaining traction, but effective methods for their development and operation are lacking. LMSYS ORG introduces SGLang, a language enhancing LLM interactions, and RadixAttention, a method for automatic KV cache reuse, optimizing LLM performance. SGLang enables simpler and faster LLM programming, outperforming current systems by a factor of up to five…
Recent advancements in conversational question-answering (QA) models, particularly the introduction of the ChatQA family by NVIDIA, have significantly improved zero-shot conversational QA accuracy, surpassing even GPT-4. The two-stage instruction tuning method enhances these models’ capabilities and sets new benchmarks in accuracy. This represents a major breakthrough, with potential implications for conversational AI’s future.
Wearable sensor technology has revolutionized healthcare, intersecting with large language models (LLMs) to predict health outcomes. MIT and Google introduced Health-LLM, evaluating eight LLMs for health predictions across five domains. The study’s innovative methodology and the success of the Health-Alpaca model demonstrate the potential of integrating LLMs with wearable sensor data for personalized healthcare.
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…
The FDA approved DermaSensor’s AI-powered handheld skin cancer detector for US sale. Skin cancer, a common and fatal disease, often goes undetected. DermaSensor’s non-invasive device uses ESS to detect skin cancer with 96% accuracy and will be available through a subscription model. It aims to aid PCPs in making referrals to dermatologists and reduce unnecessary…
Model Predictive Control (MPC) is widely used in fields such as power systems and robotics. A recent study from Carnegie Mellon University focused on the convergence characteristics of a sampling-based MPC technique called Model Predictive Path Integral Control (MPPI). The research led to the development of a new method called CoVariance-Optimal MPC (CoVO-MPC), which outperformed…
Researchers from Meta and NYU introduce Self-Rewarding Language Models, addressing limitations in traditional reward models by training a self-improving reward model. Utilizing LLM-as-a-Judge prompting and Iterative DPO, the model iteratively improves instruction-following and reward-modeling abilities, outperforming existing models. This novel approach signifies promising progress in language model training beyond human-preference-based reward models.