linkedin

SEC Chairman, Gary Gensler, warns that Artificial Intelligence (AI) could potentially cause a financial crash in the late 2020s or early 2030s due to concerns about the use of AI models by Wall Street banks. Gensler…

The text explores the topic of consciousness in artificial intelligence (AI) systems. It discusses the challenges of measuring consciousness in AI due to the lack of brains in these systems. It mentions attempts to create tests…

The researchers from Microsoft Research and Stanford University have introduced the Self-Taught Optimizer (STOP), a technique that uses a language model to enhance solutions and achieve self-improvement. They demonstrate how language models can function as their…

Edge Impulse, a company specializing in on-device machine learning and artificial intelligence, has developed a small and accurate heart rate measurement algorithm. It uses light-based sensors to provide precise heart rate and heart rate variability values,…

Summary: Making mistakes as an analyst can be a common fear. It is important to develop strategies to minimize the risk of producing flawed outputs. Some strategies include setting a proper basis before starting an analysis,…

This article presents a framework for versioning machine learning projects using Git branches. The framework aims to simplify workflows, organize data and models, and consolidate different aspects of the ML solution. It emphasizes the use of…

The University of Hong Kong, XLang Lab, Salesforce Research, Sea AI Lab, University of Washington, and MIT CSAIL have developed Lemur and Lemur-Chat, two state-of-the-art models for language agents. By combining natural language and coding abilities,…

Researchers propose Pairwise Proximal Policy Optimization (P3O), a new approach to Reinforcement Learning with Human Feedback (RLHF) that addresses the inconsistency between the reward learning and RL fine-tuning stages. By using a comparative training process, P3O…

The paper discusses the emergence of text-to-image diffusion models for image generation. It introduces “AlignProp,” a method to align diffusion models with reward functions through backpropagation during the denoising process. AlignProp outperforms alternative methods in optimizing…

The US government plans to implement additional sanctions to prevent American chipmakers from circumventing export restrictions on AI chips going to China. The upcoming regulations will close loopholes that allowed Chinese companies to obtain specialized AI…

Ancient scrolls from Herculaneum, buried for centuries, have started to reveal their secrets. Using AI technology, a computer science student and a data science graduate have made breakthroughs in deciphering the charred papyrus. They have identified…

This text discusses the significance of the hidden costs of development. It emphasizes the importance of recognizing and considering these costs in order to ensure accurate decision-making and successful project outcomes.

Researchers have developed a new framework using sparse autoencoders to make neural network models more understandable. The framework identifies interpretable features within the models, addressing the challenge of interpretability at the individual neuron level. The researchers…

Researchers have developed a method called SweetDreamer to address the issue of geometric inconsistency in converting 2D images to 3D objects for text-to-3D generation. This method aligns 2D geometric priors with well-defined 3D shapes to ensure…

Discover the advantages and key factors to consider when selecting a vector database for your application.

Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.

The latest research from Brown University reveals that using low-resource languages (LRL) like Zulu or Scots Gaelic can cause GPT-4, an AI model, to produce unsafe responses, despite its alignment guardrails. When prompted in these languages,…