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Bridging the gap between design and production for optical equipment.

Photolithography, the process of using light to precisely etch designs onto a surface, is a primary method for creating computer chips and optical devices. However, it's common for slight deviations during manufacturing to cause the final product to diverge from the intended design. To bridge this gap, researchers from MIT and the Chinese University of…

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Deep neural networks exhibit potential in replicating human auditory models.

A new study from MIT suggests that computational models rooted in machine learning are moving closer to simulating the structure and function of the human auditory system. Such technology could improve the development of hearing aids, cochlear implants, and brain-machine interfaces. The study analyzed deep neural networks trained for auditory tasks, finding similarities with the…

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Human-related: Wide-ranging language models exhibit susceptibility to multiple instances of escape scenarios.

Anthropic, an artificial intelligence company, has revealed a potential vulnerability in long-length-context language learning models (LLMs), according to a study. The company has detailed a 'many-shot jailbreak' process to which LLMs are vulnerable. The size of an LLM's context window, or the maximum length of a prompt, is crucial in determining its power. The redevelopment of…

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According to a study by Georgetown University, only 2% of AI research is focusing on safety.

Despite the growing interest in AI safety, a recent study by Georgetown University’s Emerging Technology Observatory reveals that only a small fraction of the industry’s research focuses on this area. After analyzing over 260 million scholarly publications, they found that just 2% of AI-related papers published between 2017 and 2022 directly addressed AI safety, ethics,…

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Introducing Atla: An Emerging Machine Learning Venture Creating an AI Assessment Tool to Maximize the Capabilities of Language Models for Software Developers.

Large language models (LLMs) are the driving force behind innovation in the field of artificial intelligence (AI). LLMs are expanding the capabilities of machines, especially in areas of text creation and human-like dialogue. But this evolution carries a persisting challenge - precisely assessing the capacity of these models. Current methods of evaluating LLMs can be problematic.…

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Google AI researchers have developed a new privacy-centric cascade system to improve the performance of machine learning models.

The concept of cascades in large language models (LLMs) has gained popularity for its high task efficiency while reducing data inference. However, potential privacy issues can arise in managing sensitive user information due to interactivity between local and remote models. Conventional cascade systems lack privacy-protecting mechanisms, causing sensitive data to be unintentionally transferred to the…

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Myshell AI and scholars from MIT have suggested JetMoE-8B: an ultra-efficient Language Model (LLM) capable of attaining LLaMA2-Level training at just $0.1 million.

Artificial Intelligence (AI) is a rapidly advancing field that often requires hefty investments, predominantly accessible to tech giants like OpenAI and Meta. However, an exciting breakthrough presents an exception to this norm—turning the tide in favor of democratizing AI development. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Myshell AI have demonstrated…

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