Researchers from Salus Security have introduced an AI solution called “Lightning Cat” that uses deep learning techniques to detect vulnerabilities in smart contracts. The solution utilizes optimized deep learning models, including CodeBERT, LSTM, and CNN, to accurately identify vulnerabilities and improve semantic analysis. Experimental results show that the Optimized-CodeBERT model achieves impressive performance in vulnerability…

The United States, United Kingdom, and 16 other partners have released comprehensive guidelines for developing secure artificial intelligence systems. Led by the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the UK’s National Cyber Security Centre (NCSC), the guidelines prioritize a ‘secure by design’ approach, covering all stages of AI system development. The guidelines also…

Google’s Chatbot ‘Bard’ has introduced a groundbreaking “YouTube Extension” that allows users to extract specific details from YouTube videos by asking questions. This advancement showcases Bard’s ability to comprehend visual media, improving user engagement. Bard was found to be accurate and swift in summarizing video content, setting it apart from other chatbots in the AI…

Researchers from ByteDance have introduced PixelDance, a video generation approach that combines text and image instructions to create complex and diverse videos. The system excels in synthesizing videos with intricate settings and actions, surpassing existing models. It integrates diffusion models and Variational Autoencoders and outperforms previous models in terms of video quality. While the model…

MIT researchers have developed a method called StableRep to address the scarcity of training data for AI image classifiers. They used a strategy called “multi-positive contrastive learning” to generate synthetic images that match a given text prompt. The resulting image classifier, StableRep+, outperformed models trained on real images. While there are challenges such as computation…

Researchers from Peking University, Peng Cheng Laboratory, Peking University Shenzhen Graduate School, and Sun Yat-sen University have introduced Video-LLaVA, a Large Vision-Language Model (LVLM) approach that unifies visual representation into the language feature space. Video-LLaVA surpasses benchmarks in image question-answering and video understanding, outperforming existing models and showcasing improved multi-modal interaction learning. The model aligns…

Researchers from MIT, Harvard University, and the University of Washington have developed a new approach to reinforcement learning that leverages feedback from nonexpert users to teach AI agents specific tasks. Unlike other methods, this approach enables the agent to learn more quickly despite the noisy and potentially inaccurate feedback. The method has the potential to…

Generative AI is revolutionizing the conversational AI industry by enabling more natural and intelligent interactions. Amazon Lex has introduced new features that take advantage of these advances, such as conversational FAQs, descriptive bot building, assisted slot resolution, and training utterance generation. These features make it easier for developers to build chatbots that provide personalized customer…

In-context learning (ICL) is the capacity of a model to modify its behavior at inference time without updating its weights, allowing it to tackle new problems. Neural network architectures, such as transformers, have demonstrated this capability. However, recent research has found that ICL in transformers is influenced by certain linguistic data characteristics. Training transformers without…

Generative AI tools like ChatGPT, DALLE-2, and CodeStarter have gained popularity in 2023. OpenAI’s ChatGPT has reached 100 million monthly active users within two months of its launch, becoming the fastest-growing consumer application. McKinsey predicts that generative AI could add trillions of dollars annually to the global economy, with the banking industry expected to benefit…