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  • Enhancing Self-Supervised Learning with Automatic Data Curation: A Hierarchical K-Means Approach

Enhancing Self-Supervised Learning with Automatic Data Curation: A Hierarchical K-Means Approach

Self-supervised features are central to modern machine learning, typically requiring extensive human effort for data collection and curation, similar to supervised learning. Self-supervised learning (SSL) allows models to be trained…

In-Context Learning Capabilities of Multi-Layer Perceptrons MLPs: A Comparative Study with Transformers

Recent years have seen significant advances in neural language models, particularly Large Language Models (LLMs) enabled by the Transformer architecture and increased scale. LLMs exhibit exceptional skills in generating grammatical…

Microsoft AI for Good Introduces Pytorch-Wildlife: An Open-Source Deep Learning Platform Built on PyTorch

Human activities increasingly threaten wildlife’s role in maintaining ecosystem balance, highlighting the critical need for large-scale biodiversity monitoring. Addressing the logistical challenges of fieldwork and data collection, especially in remote…

Advancing Ethical AI: Preference Matching Reinforcement Learning from Human Feedback RLHF for Aligning LLMs with Human Preferences

Large language models (LLMs) like ChatGPT-4 and Claude-3 Opus excel in tasks such as code generation, data analysis, and reasoning. Their growing influence in decision-making across various domains makes it…

The Emergence of Super Tiny Language Models (STLMs) for Sustainable AI Transforms the Realm of NLP

Natural language processing (NLP) has many applications, including machine translation, sentiment analysis, and conversational agents. The advent of LLMs has significantly advanced NLP capabilities, making these applications more accurate and…

Using AI and Robots to Advance Science

Even though we invented it, humans can be pretty bad at science. We need to eat and sleep, we sometimes let our emotions regulate our behavior, and our bodies are…

Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

Dell is deeply embedded in the AI landscape, leveraging a comprehensive four-pillar strategy to integrate the technology across its products and services. Nicholas Brackney, Senior Consultant in Product Marketing at…

EU launches office to implement AI Act and foster innovation

The European Union has launched a new office dedicated to overseeing the implementation of its landmark AI Act, which is regarded as one of the most comprehensive AI regulations in…

QFZ and Quantiphi Announce to AI Digital Engineering Global Technology Hub

Qatar Free Zones Authority (QFZ) and Quantiphi, a GoogleCloud partner and award-winning AI-first digital engineering company, have signed an agreement to establish a global technology hub in Qatar’s Free Zones to meet the surging demand for…

Enhancing Transformer Models with Abacus Embeddings for Superior Arithmetic and Algorithmic Reasoning Performance

Transformer models have significantly advanced machine learning, particularly in handling complex tasks such as natural language processing and arithmetic operations like addition and multiplication. These tasks require models to solve…