Artificial Intelligence
A team of researchers at the University of Science and Technology of China has developed an AI robot that uses Martian meteorite extracts to produce oxygen. The robot created a catalyst from the Martian rock samples to accelerate the process of extracting oxygen from water. This breakthrough demonstrates the potential of AI in supporting space…
Nvidia has announced the H200, a high-end chip designed for training AI models, with enhanced performance in inference. The chip is expected to be shipped in the second quarter of 2024 and will be compatible with existing systems using the H100. Nvidia’s stock has seen a 230% increase in 2023 due to the excitement around…
Cerebras Systems and G42 have achieved a significant milestone in the field of artificial intelligence with the completion of a 4-Exaflop AI supercomputer. This partnership showcases their technical expertise and commitment to innovation. They are now aiming to reach 8-Exaflops, which will have far-reaching implications for AI research and various industries. This achievement highlights the…
Researchers from Waabi and the University of Toronto have developed LabelFormer, a transformer-based AI model that efficiently refines object trajectories for auto-labelling. This technique improves the accuracy of bounding boxes by utilizing the entire time context and outperforms window-based approaches in terms of computing efficiency. The comprehensive experimental assessment demonstrates the effectiveness of LabelFormer in…
Rosalyn has introduced StableSight, an advanced AI system to tackle academic dishonesty in online education. It features gaze-tracking and keyboard sound analysis to detect cheating methods like secondary screens and concealed devices. The platform identifies suspected cases of cheating and involves human reviewers for fair assessment. StableSight has gained recognition from organizations and aims to…
Amazon Personalize is a machine learning technology that enables businesses to provide personalized recommendations to their customers. It simplifies the integration of personalized recommendations into websites, applications, and email marketing systems. With Amazon Personalize, businesses can easily train models, process data, and generate real-time recommendations. The solution can be implemented using various AWS services such…
Generative AI and large language models (LLMs) are often used for question answering systems based on external knowledge. Traditional systems struggle with vague or ambiguous questions without context. To address this, an interactive clarification component using LangChain is introduced, allowing a conversational dialogue with users to gather context and provide accurate answers. The solution is…
Welsh police used facial recognition technology to scan Beyoncé concertgoers in Cardiff in May this year, aiming to find matches to a watch list of suspected terrorists and pedophiles. The use of facial recognition at events has been criticized, but South Wales Police and Crime Commissioner Alun Michael supported its use, stating that it was…
OpenAI and Google are aggressively competing for the top AI researchers by offering large incentives. OpenAI’s recent valuation boost has allowed them to offer huge salaries to Google staff, while Google is forced to increase salaries to retain key employees. Factors such as management style and project profiles also influence researchers’ decisions. Google currently has…
Apple Inc. is preparing to launch iOS 18 at its next Worldwide Developer Conference. The update will focus on integrating generative AI and is an effort to keep up with Google and OpenAI. Significant software advancements, particularly in generative AI, are expected, and the update will offer overhauls in features, design, security, and performance. The…
Relax is a compiler abstraction that optimizes machine learning models with dynamic shapes. It uses symbolic shape annotations to track dynamic shape computations and enables cross-level optimizations. The forward deduction method is used to infer annotations based on input components. Experimental results show competitive performance across different hardware backends.
SmartEM, developed by researchers from MIT and Harvard, combines powerful electron microscopes with AI to quickly capture and understand details of the brain. It acts like an assistant, focusing on essential areas and helping scientists examine tiny parts of the brain. SmartEM can reconstruct detailed 3D maps and make brain studies faster and more cost-effective.…
Researchers from Google DeepMind conducted a study on the in-context learning capabilities of large language models, specifically transformers. The study found that transformers perform well in tasks within the pretraining data but face limitations and reduced generalization when dealing with out-of-domain tasks. The research emphasizes the importance of pretraining data coverage over inductive biases for…
The text provides solutions to fix the “Error Generating a Response” issue in ChatGPT. Users are advised to check the OpenAI server status, refresh the ChatGPT page or restart the browser, simplify prompts, run network speed tests, disable VPNs and proxies, use incognito mode or different browsers, and clear browser cache and data. The alternative…
Asking questions to your data set has always been interesting.
AltUp is a novel method that addresses the challenge of scaling up token representation in Transformer neural networks without increasing computational complexity. It partitions the representation vector into blocks and processes one block at each layer, utilizing a prediction-correction mechanism to infer outputs for non-processed blocks. AltUp outperforms dense models in benchmark tasks and shows…
The Long Short-Sequence Transformer (LSS Transformer) is a new efficient distributed training method for transformer models with extended sequences. It segments sequences among GPUs, resulting in faster training and improved memory efficiency. The LSS Transformer outperforms other sequence parallel methods, achieving impressive speedups and memory reduction. It has potential applications in DNA sequence analysis, document…
Researchers from Zhipu AI and Tsinghua University have introduced CogVLM, an open-source visual language model that aims to enhance the integration between language and visual information. This model achieves state-of-the-art or near-best performance on various cross-modal benchmarks and is expected to have a positive impact on visual understanding research and applications.
Engineers have created a method to rapidly detect various system failures prior to real-world use.
Determinism is a philosophical theory about the nature of the universe, suggesting that there is no randomness and that every event has a set of causes. This idea of determinism is relevant to various aspects of data science, including probability theory, irreducible error in machine learning models, the concept of a “god” model, causality and…