Neural Networks for Scalable Temporal Logic Model Verification in Hardware Verification
Ensuring the accuracy of electronic designs is essential, as hardware failures are permanent in post-production and can compromise the reliability ...
Tag: Temporal
DeBaTeR: A new artificial intelligence method that leverages temporal information in collaborative neural graph filtering to improve both denoising and prediction performance.
Recommender systems have been widely applied to study user preferences; However, they face significant challenges in accurately capturing user preferences, ...
Salesforce AI Research Introduces BLIP-3-Video: A Multimodal Language Model for Video Designed to Efficiently Capture Temporal Information Over Multiple Frames
Vision-language models (VLM) are gaining importance in artificial intelligence due to their ability to integrate visual and textual data. These ...
Integrating neural systems for visual perception: The role of the ventral temporal cortex (VTC) and medial temporal cortex (MTC) in rapid and complex object recognition
Human and primate perception occurs on multiple time scales, with some visual attributes identified in less than 200 ms, thanks ...
TempoKGAT: Improving temporal graph analysis with time-decreasing weights and selective neighbor aggregation
GNNs have excelled in analyzing structured data, but they face challenges with dynamic and temporal graphs. Traditional forecasting, often used ...
CogVLM2: Advanced multimodal visual language models for better image and video understanding and temporal foundation in open source applications
Large language models (LLMs), initially limited to text-based processing, faced significant challenges in understanding visual data. This limitation led to ...
CogVideoX is released in two variants: CogVideoX-2B and CogVideoX-5B – a revolutionary advancement in text-to-video generation with improved temporal consistency and superior handling of dynamic scenes
(Promotion) The most accurate, reliable and easy-to-use ai search engine available Text-to-video generation is advancing rapidly, driven by major advances ...
CAT-BENCH: assessing the understanding of temporal dependencies in procedural texts by linguistic models
Understanding how LLMs understand natural language plans, such as instructions and recipes, is crucial for their reliable use in decision-making ...
Separating Reality from Logic: The Test of Time ToT Benchmark Isolates Reasoning Skills in LLMs to Improve Temporal Understanding
Temporal reasoning involves understanding and interpreting relationships between events over time, a crucial capability for intelligent systems. This field of ...
NVIDIA AI Research Proposes Language Instructed Temporal Localization Assistant (LITA), Enabling Precise Temporal Localization Using Video LLM
Large language models (LLMs) have demonstrated their impressive instruction following capabilities and can be a universal interface for various tasks ...
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