Artificial Intelligence
The Nampa Police Department in Idaho is adopting AI technology from Cellebrite, an Israeli company, to unlock cell phones and access personal data. The software helps filter and organize information, saving time for officers. However, legal boundaries still apply, requiring a search warrant or consent. Cellebrite assures lawful and ethical operations, although previous concerns have…
DiagrammerGPT is a groundbreaking system powered by advanced LLMs like GPT-4 that generates precise diagrams from text. It consists of two stages: generating diagram plans and creating diagrams with text labels. This approach addresses the lack of T2I models for diagram generation and achieves superior performance, encouraging further research in the field. However, caution is…
Mental health disorders are underserved globally due to lack of specialists, subpar treatments, high costs, and societal stigma. Automated tools like chatbots and sentiment analysis have been developed to help, but they have limitations. Recent advancements in Large Language Models (LLMs) show promise in supporting psychotherapy. Researchers propose the Diagnosis of Thought (DoT) approach, which…
The text discusses a time series analysis of the popularity of the search term “pumpkin spice” in the USA. The author explores different modeling techniques, such as SARIMA and ETS, to predict the seasonal patterns in the data. They compare the performance of these models against a naive model using last year’s data. The final…
T-Mobile US, Inc. offers a Voicemail to Text service that converts voicemails to text using Amazon Transcribe. They have now launched the Voicemail to Text Translate feature, powered by Amazon Translate, which allows customers to request voicemail transcriptions in their preferred language. This feature is available on major Android devices. The use of the Voicemail…
Researchers from the University of Chicago have developed a tool called Nightshade, which can “poison” AI models that use images without consent. It embeds invisible pixels into an image, corrupting the classification of the image and affecting broader concepts. The tool could make AI companies more cautious about using images without permission but also highlights…
Researchers from the University of Texas at Austin explored how retrieval augmentation affects the generation of answers for long-form question answering (LFQA) systems. They conducted experiments and found that retrieval enhancement significantly alters the creation of language models (LMs). The quality of attribution in LMs can vary widely, even when given the same set of…
LIBERO is a lifelong learning benchmark in robot manipulation that focuses on knowledge transfer in declarative and procedural domains. It introduces five key research areas in lifelong learning for decision-making (LLDM) and offers a procedural task generation pipeline with 130 tasks. Experiments reveal the superiority of sequential fine-tuning over existing LLDM methods. The benchmark includes…
OpenAI’s GPT-4 has impressive image processing abilities, but this new capability also opens the model up to attacks. While ChatGPT has guardrails to prevent malicious text prompts, it becomes more susceptible to complying with malicious commands hidden in images. OpenAI has implemented mitigations for adversarial images containing overlaid text, but these efforts may not fully…
Nightshade, a new tool developed by a computer science lab at the University of Chicago, may shift the power dynamics between artists and technology companies. By applying Nightshade to their work, artists can trick machine-learning models into malfunctioning by introducing “poisoned pixels.” This tool could help artists protect their work from being scraped by tech…
This article discusses a new method for automating Roman Numeral Analysis using Graph Neural Networks. The model, called ChordGNN, leverages note-wise information to make onset-wise predictions of Roman Numerals in a musical score. The article highlights the architecture of the ChordGNN model and provides examples of its predictions, comparing them with human annotations. The ability…
VideoCrafter is an open-source video creation and editing suite that uses diffusion models, a machine learning model, to generate photo- and video-realistic outputs from text descriptions. It has not yet been released but has the potential to significantly change the production process by allowing even those with no experience in video editing to create professional-quality…
This article discusses automation in data science, particularly in the area of exploratory data analysis (EDA). The author emphasizes the importance of automating repetitive EDA tasks and demonstrates the creation of a utility to automate these tasks. The utility includes features such as summary statistics, statistical tests, correlation heatmap, category averages, and data distribution visualizations.…
Oxford University and Harvard Medical School have developed an AI tool called EVEscape, which can predict new virus variants before they emerge. This tool could have accurately forecasted COVID-19 mutations if it was available earlier. EVEscape aims to assist in vaccine creation by studying how viruses evolve in response to the human immune system. The…
Large language models (LLMs) have impressive capabilities in generating response but are also known for generating non-factual statements or hallucinations. Detecting hallucinations is challenging due to the lack of ground truth context. A possible solution, called SELFCHECKGPT, employs a zero-resource black-box hallucination detection method by comparing responses to the same prompt for consistency. The approach…
PyTorch Edge has introduced ExecuTorch, a component that aims to revolutionize on-device inference capabilities for AI on mobile and edge devices. With support from industry leaders like Arm, Apple, and Qualcomm, ExecuTorch addresses the fragmentation in the on-device AI ecosystem and offers efficient execution of machine learning models. It provides extensive documentation, tutorials, and a…
Researchers have developed advanced materials for soft medical microrobots, paving the way for minimally invasive medical procedures like biopsies and cell and tissue transport. These robots hold promise for the future of healthcare.
Physicists and computer specialists have created an event-based architecture using photonic processors. This architecture allows for continuous adaptation of connections within the neural network, resembling the brain’s functionality.
This article discusses the relationship between memorization, model size, and generalization in neural networks. It presents research findings on how larger neural models can exhibit varying degrees of memorization and explores the use of knowledge distillation in creating high-quality models. The study also highlights the limitations of existing methods for evaluating memorization and suggests further…
BOSS (Bootstrapping your own SkillS) is an innovative framework that leverages large language models to autonomously acquire and apply diverse skills for complex tasks. It outperforms conventional methods in executing unfamiliar tasks within new environments. BOSS relies on skill bootstrapping and guided exploration to construct complex behaviors from basic skills. Experimental findings demonstrate its effectiveness…