• Tue. Nov 26th, 2024

Nile is a CRN 2024 Tech Innovator Award Finalist

Nile, a pioneer in AI networking and Network-as-a-Service (NaaS) for the enterprise, announced today that CRN®, a brand of The Channel Company, has named Nile as a finalist of the…

Fujitsu, Cohere Launch Enterprise-Focused Generative AI Partnership

The companies will develop innovative Japanese LLM for private cloud usage through Fujitsu Kozuchi AI services Today, Fujitsu announced a strategic partnership with Cohere Inc., a security and data privacy-focused…

Virtuous AI appoints Chris Happ as new CEO

Happ will drive AI-led shift in enterprises, bringing Virtuous AI’s product to market Virtuous AI is proud to announce the appointment of Chris Happ as its new Chief Executive Officer. Happ’s appointment on June…

MIT Researchers Propose IF-COMP: A Scalable Solution for Uncertainty Estimation and Improved Calibration in Deep Learning Under Distribution Shifts

Machine learning, particularly deep neural networks, focuses on developing models that accurately predict outcomes and quantify the uncertainty associated with those predictions. This dual focus is especially important in high-stakes…

The Real Deal on Language Model Optimizers: Performance and Practicality

Training large-scale language models presents significant challenges, primarily due to the increasing computational costs and energy consumption as model sizes grow. This challenge is critical for the advancement of AI…

This AI Paper Introduces GAVEL: A System Combining Large Language Models and Evolutionary Algorithms for Creative Game Design

Artificial intelligence (AI) is a multifaceted field involving technologies and methodologies designed to create systems capable of performing tasks that typically require human intelligence. These tasks range from simple pattern…

H2O.ai Just Released Its Latest Open-Weight Small Language Model, H2O-Danube3, Under Apache v2.0

The natural language processing (NLP) field rapidly evolves, with small language models gaining prominence. These models, designed for efficient inference on consumer hardware and edge devices, are increasingly important. They…

Exploring Robustness: Large Kernel ConvNets in Comparison to Convolutional Neural Network CNNs and Vision Transformers ViTs

Robustness is crucial for deploying deep learning models in real-world applications. Vision Transformers (ViTs) have shown strong robustness and state-of-the-art performance in various vision tasks since their introduction in the…

Planetarium: A New Benchmark to Evaluate LLMs on Translating Natural Language Descriptions of Planning Problems into Planning Domain Definition Language PDDL

Large language models (LLMs) have gained significant attention in solving planning problems, but current methodologies must be revised. Direct plan generation using LLMs has shown limited success, with GPT-4 achieving…

RTMW: A Series of High-Performance AI Models for 2D/3D Whole-Body Pose Estimation

Whole-body pose estimation is a key component for improving the capabilities of human-centric AI systems. It is useful in human-computer interaction, virtual avatar animation, and the film industry. Early research…