A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
AVs utilize deep neural network (DNN)-based classification systems to identify traffic signs. However, these models are susceptible to adversarial attacks that can cause misclassification by introducing slight perturbations to an…
Continue readingThis research uses text from Reddit and a proposed labeling approach to facilitate the diagnosis of depression severity. The Longformer model is fine-tuned and its performance compared against baseline models…
Continue readingThe paper presents a study testing the portability of task-specific knowledge encoded in modules trained by parameter-efficient finetuning (PEFT) techniques. Using sentiment analysis as an example, the authors conduct 1,440…
Continue readingThe article discusses AR-GAN, a Generative Adversarial Network-based defense method against adversarial attacks on the Traffic Sign Classification System of Autonomous Vehicles. The AR-GAN classification system includes a generator that…
Continue readingThe article discusses the significant progress in Natural Language Processing (NLP), focusing on Large Language Models (LLM) and prompt engineering techniques. The authors discuss the use of reasoning topologies like…
Continue readingThe Genie method, proposed by researchers at IBM Israel Research Lab, Hebrew University of Jerusalem, and MIT, aims to generate high-quality, synthetic, content-grounded data. The method involves three stages: Content…
Continue readingThe paper presents TURNA, a language model designed for the low-resource language Turkish. The model is capable of both understanding and generating natural language tasks. TURNA is pre-trained using an…
Continue readingThe study presents the Open-World Mobile Manipulation System. This system enables robots to interact with articulated objects such as doors, cabinets, and refrigerators in unstructured environments like homes. The robot…
Continue readingThis article presents a novel methodology named Multimodal Pathway which aims to improve transformers using irrelevant data from other modalities. For instance, an ImageNet model can be improved with audio…
Continue readingThis academic article presents a new approach to counterfactual reasoning in fairness and recourse within artificial intelligence (AI) systems. Traditionally, counterfactual reasoning involves imagining hypothetical interventions on legally-protected characteristics such…
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