Artificial Intelligence
The Battle of the Backbones (BoB) is a large-scale benchmark that compares different pretrained checkpoints and baselines in computer vision. It found that supervised convolutional networks perform better than transformers, while self-supervised models perform better than supervised models on same-sized datasets. ViTs are more sensitive to parameters and pretraining data, and transformers may be more…
Small business owners should apply principles from “The E-Myth Revisited” to their analytics teams. To increase the number of quality insights generated, focus on either increasing the time spent on turning data into insights or decreasing the average time needed. This can be achieved by developing clear processes and optimizing non-data work, upskilling analysts, encouraging…
Data engineering encompasses SQL and Python skills, but Java and Scala are increasingly important in handling large amounts of data. Distributed computing frameworks like Hadoop and Spark, built on JVM languages, offer portability across systems and environments. Data pipelines in JVM-based applications can be developed using Java or Scala, with tools like Apache Maven for…
Summary: This article explores the concept of matrix equations in linear algebra. It explains linear combinations and how they relate to matrix equations. It also discusses matrix multiplication and its properties. The article concludes by highlighting the importance of matrix multiplication in neural networks.
Researchers have introduced the GraphGPT framework to enhance the generalization capabilities of graph models in natural language processing. The framework incorporates domain-specific structural knowledge into language models and improves their understanding of graph structures. Extensive evaluations demonstrate its effectiveness, outperforming existing methods in various settings. Future directions include exploring pruning techniques to reduce model size…
Google Cloud released its cybersecurity forecast for 2024, highlighting the top threat from AI. Language models will make phishing emails and SMS messages harder to spot as scammers use them to translate and polish their pitches. Generative AI will enable scammers to move from traditional tactics to AI-generated voice and video scams. Cybercrime tools will…
Researchers at Stanford University have developed a new training technique called Convex Optimization of Recurrent Neural Networks (CORNN) to improve the speed and scalability of training large-scale neural networks. CORNN has been shown to be 100 times faster than conventional optimization techniques without sacrificing accuracy. It allows for real-time analysis of extensive brain recordings and…
The researchers propose JudgeLM, a scalable language model judge designed to evaluate large language models (LLMs) in open-ended scenarios. They introduce a high-quality dataset for judge models, examine biases in LLM judge fine-tuning, and provide solutions. JudgeLM shows increased consistency and adaptability over various scenarios. The dataset serves as a foundation for future research on…
Intel Corporation has made a significant investment in Stability AI, a startup known for its Stable Diffusion software. This move positions Intel against OpenAI and its ChatGPT, marking a pivotal moment in the competitive AI market. Intel has provided Stability AI with an AI supercomputer equipped with high-end processors, showing its commitment to the partnership.…
If you encounter network errors while using ChatGPT, there are several troubleshooting steps you can take. First, check your internet speed and try using a different service or mobile data. Clear your browser’s history and cache, update your router’s firmware, and restart it. Disable VPN or proxy connections. Check OpenAI’s server status and contact customer…
Luma AI has launched Genie, a new 3D generative AI model that allows users to create 3D objects from text descriptions. This eliminates the need for specialized software and expertise in 3D modeling, making it accessible to everyone. Genie uses a deep neural network to generate four interpretations of the provided description and users can…
Researchers from Nanyang Technological University and Salesforce Research have introduced personalized distillation for code generation tasks. The method involves a student model attempting a task and receiving adaptive refinement from a teacher model, outperforming standard distillation methods with only one-third of the data. Personalized distillation improves the performance of open-source pretrained models in code generation…
NLP, or Natural Language Processing, is a field of AI focused on human-computer interaction through language. Recent research has explored improving few-shot learning (FSL) methods in NLP to overcome data limitations. A new data augmentation method called “AugGPT” is proposed, which utilizes ChatGPT to generate more samples for text classification tasks. The method involves fine-tuning…
SecureLoop is an advanced design space exploration tool developed by researchers at MIT to address the security and performance requirements of deep neural network accelerators. By considering various elements such as computation, memory access, and cryptographic operations, SecureLoop optimizes authentication block assignments using modular arithmetic techniques. Comparative evaluations demonstrate its superior performance, boasting speed enhancements…
LLVC (Low-latency, Low-resource Voice Conversion) is a real-time voice conversion model introduced by Koe AI. It operates efficiently on consumer CPUs, achieving sub-20ms latency at a 16kHz bitrate. LLVC utilizes a generative adversarial structure and knowledge distillation for efficiency and low resource consumption. It sets a benchmark among open-source voice conversion models in terms of…
The Skywork-13B family of large language models (LLMs) addresses the need for transparent and commercially available LLMs. Researchers at Kunlun Technology developed Skywork-13B-Base and Skywork-13BChat, providing detailed information about the training process and data composition. They also released intermediate checkpoints and used a two-stage training approach for optimization. Skywork-13B outperforms similar models and achieves low…
Researchers at Johns Hopkins Medicine have developed a machine learning model that accurately calculates the extent of tumor death in bone cancer patients. The model, trained on annotated pathology images, achieved 85% accuracy, which rose to 99% after removing an outlier. The innovative method reduces the workload for pathologists and has the potential to revolutionize…
A new report by Tech Against Terrorism highlights that violent extremists are increasingly using generative AI tools to create content, including images linked to groups like Hezbollah and Hamas. This strategic use of AI aims to influence narratives, particularly relating to sensitive topics like the Israel-Hamas war. The report also raises concerns about the implications…
The OECD has updated its definition of AI, which is expected to be included in the European Union’s AI Act. The new definition recognizes AI systems that can have emergent goals beyond their original objectives and expands the range of outputs AI can produce. It also considers the changes AI systems can undergo after deployment.…
Amazon SageMaker Canvas is a no-code environment that allows users to easily utilize machine learning (ML) models for various data types. It integrates with Amazon Comprehend for natural language processing tasks like sentiment analysis and entity recognition. It also integrates with Amazon Rekognition for image analysis, and Amazon Textract for document analysis. The ready-to-use solutions…