Natural Language Processing (NLP) plays a crucial role in identifying sarcasm online, particularly in reviews and comments. A recent study by a New York University researcher evaluates the performance of two LLMs for sarcasm detection, emphasizing the need for contextual information and advanced models. This advance is significant for enhancing NLP capabilities in analyzing human…
Microsoft released the Copilot app for iOS and iPadOS, featuring AI chatbot capabilities powered by GPT-4 and image generation using DALL-E3. The app has prompted both excitement and concerns from users, with some lauding its effectiveness and others expressing worries about data harvesting. The absence of subscription requirements is seen as a positive aspect.
The development of Large Language Models (LLMs) with billions of parameters in the field of Artificial Intelligence has posed challenges in deployment due to high costs and memory constraints. A team of researchers has introduced LLM Surgeon, a framework for efficient pruning, demonstrating up to 30% reduction in model size without significant performance loss, addressing…
Deepfakes, a product of AI generative models, create convincing fake images and videos that can deceive and defraud people. They’ve advanced from trivial uses to more concerning applications, including misinformation and identity fraud. Understanding their creation process and learning to detect and combat them is crucial. Responsible use of this technology is essential.
VTON technology has revolutionized online shopping, bridging the gap between virtual and physical experiences by allowing customers to visualize clothing without the need for physical try-ons. Researchers have developed a flexible and advanced approach that offers improved synthesis quality and a high level of personalization, opening new possibilities in virtual garment visualization. This breakthrough promises…
Artificial Intelligence and Deep Learning have enabled Scientific Machine Learning (SciML), a new field combining classic PDE-based modeling and machine learning. It consists of PDE solvers, PDE discovery, and operator learning, addressing dynamic systems and PDEs with neural network tools. Research outlines guidance for operator learning, emphasizing neural network selection and numerical PDE solver integration…
Researchers have analyzed CLIP (Contrastive Language-Image Pretraining), a neural network that uses language supervision to acquire visual concepts. They found biases in CLIP models regarding visual text and color. The team studied the LAION-2B dataset and discovered bias in text spotting. They emphasized the impact of parrot captions on CLIP model learning.
Cornell University researchers introduced “Multivariate Learned Adaptive Noise” (MuLAN), a machine learning method that revolutionizes diffusion models. By employing a learned, data-driven approach to diffusion, MuLAN enhances classical models with a more tailored application of noise, leading to state-of-the-art performance in density estimation on standard image datasets and offering a significant leap in image synthesis.
OpenAI introduces free voice chat for ChatGPT mobile app, available on Android and iOS. The tutorial covers enabling voice chat, changing voices, and selecting languages. Users can converse in 37 languages and experience accurate responses. The feature allows users to “tap and hold” to talk, interrupt, and access text conversion after conversations.
ControlRoom3D, developed by researchers from Meta GenAI, RWTH Aachen University, and the Technical University of Munich, revolutionizes the generation of 3D room meshes in augmented and virtual reality. By introducing a 3D semantic proxy room and innovative technical components, it democratizes the creation of high-quality, realistic virtual spaces, with implications for diverse applications.
The article discusses the application of Principal Component Analysis (PCA) to derive a score for ranking geographic areas based on socio-economic advantage and disadvantage using publicly accessible data in Australia. The process involves data standardization, PCA application, visualization of explained variance, and validation through comparison with a published Index of Economic Resource (IER). The demonstration…
The emergence of Large Language Models has led to the development of applications such as ChatGPT, email assistants, and coding tools. While ChatGPT caters to over 100 million weekly users, it’s noted that text generation only scratches the surface of these models’ capabilities. Harvard and Meta researchers explore the challenges and optimizations in Text-To-Image and…
The article highlights top videos from 2023, covering topics like UX resumes, usability test facilitation, information architecture, content strategy, empathy maps, and more. It also features bonus videos from 2021 with content on user interviews, UX research plans, user story mapping, design thinking, and UX slogans.
The text discusses the concept of applying a specific approach to a real-world scenario. For further details, please refer to the full article on Towards Data Science.
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In a pilot NHS project called ADAPTIVE, AI-equipped kettles and fridges are reducing unplanned hospital readmissions in England. This initiative, part of the NHS’s Onward Care strategy, supports patients after discharge. The project, created by UK tech company Miicare, uses IoT sensors to monitor eating and drinking habits, alerting staff to potential health concerns.
Samsung plans to release AI-integrated fridges and cooktops in 2024. The flagship 2024 Bespoke 4-Door Flex Refrigerator with AI Family Hub+ features an internal camera for viewing, food recognition, and Samsung Health integration. The new additions aim to redefine cooking experiences, with touchscreen fridges and LCD-equipped cooktops creating an interconnected smart kitchen.
Cross validation is crucial for training and evaluating machine learning models, but standard k-fold may not work for time series data due to its sequential nature. TimeSeriesSplit, unlike k-fold, accommodates the time-dependent nature of the data by progressively increasing the training set size, providing a more appropriate cross validation method for time series data.
The article introduces the Crystal Bar Chart, a visualization technique for compressing data into a small space using overlapping shapes along a central axis, representing one-dimensional data grouped by sequential differential clustering. The visualization pairs well with various other tools for examining data series in academic and professional work, providing a fun way to discover…
This text provides a detailed account of creating a locally running voice assistant system, comprising a wake-word detection service, a voice assistant service, and a chat service. It also discusses the components and their interaction, as well as provides an example interaction with the voice assistant. The author highlights the surprising quality of the speech-to-text…