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Three Inquiries: Essential Information on Audio Deepfakes You Should Know

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 16, 202437Views0Likes0Comments
Recently, an AI-generated robocall mimicking Joe Biden urged New Hampshire residents not to vote. Meanwhile, "spear-phishers" – phishing campaigns targeting specific people or groups – are using audio deepfakes to extract money. However, less attention has been paid to how audio deepfakes could positively impact society. Postdoctoral fellow Nauman Dawalatabad does just that in a…

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An AI paper from China suggests a new method based on dReLU sparsification that enhances the model’s sparsity up to 90% without compromising its performance. This innovative approach yields a two to five times acceleration during inference.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 15, 202436Views0Likes0Comments
Large Language Models (LLMs) like Mistral, Gemma, and Llama have significantly contributed to advancements in Natural Language Processing (NLP), but their dense models make them computationally heavy and expensive. As they utilize every parameter during inference, this intensity makes creating affordable, widespread AI challenging. Conditional computation is seen as an efficiency-enhancing solution, activating specific model parameters…

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Improving software testing by utilizing generative AI

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 15, 202436Views0Likes0Comments
Generative AI, which can create text and images, also has extensive potential in creating realistic synthetic data for various applications. Being able to produce synthetic data can assist organizations, particularly in situations where real-world data is lacking or sensitive. For instance, it can help in patient care, rerouting of flights due to adverse weather, or…

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Scientists improve sideline viewing capabilities in AI systems.

Artificial Intelligence, Autonomous vehicles, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, UncategorizedJune 15, 202435Views0Likes0Comments
Peripheral vision, the ability to see objects outside of our direct line of sight, has been simulated by researchers at MIT to be used with AI technology. Unlike human vision, AI lacks the capability to perceive peripherally. Enhancing AI with this ability could greatly enhance its proactivity in identifying threats, and could even predict if…

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Three Queries: Essential Information on Audio Deepfakes You Should Understand

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 15, 202436Views0Likes0Comments
Audio deepfakes, or AI-generated audio, have lately been in the limelight due to harmful deception applied by ill-intentioned individuals. Cases such as robocalls impersonating political figures, spear-phishers tricking individuals into revealing personal information, and actors misusing technology to preserve their voices have surfaced in the media. While these negative instances have been widely publicized, MIT…

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Leading Stanford Courses in Artificial Intelligence (AI)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 15, 202435Views0Likes0Comments
Stanford University is renowned for its contributions to artificial intelligence research and advancements, offering numerous courses equipped with practical knowledge for its students. Various AI aspects are covered, including machine learning, deep learning, natural language processing, and other crucial AI technologies. The courses are revered for their depth, relevance, and rigor making them paramount for…

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Improving software testing with the use of generative artificial intelligence.

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 15, 202434Views0Likes0Comments
Generative AI has the capability to produce realistic synthetic data that could help organizations in various sectors such as healthcare, aviation, and software development efficiently carry out operations. For the last three years, MIT spinout DataCebo has been offering the Synthetic Data Vault (SDV), a generative software system that can design synthetic data, useful in…

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Scientists improve side vision capabilities in AI systems.

Artificial Intelligence, Autonomous vehicles, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, School of Science, UncategorizedJune 15, 202437Views0Likes0Comments
A team from MIT has created an image dataset aimed at simulating peripheral vision in machine learning models, a characteristic which AI typically lacks. This could improve the models' ability to recognise approaching threats and predict whether a human driver would spot an oncoming object. In experiments, these models improved in terms of hazard detection,…

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Three Inquiries: Essential Information you must Understand about Audio Deepfakes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedJune 15, 202437Views0Likes0Comments
In this Q&A article for MIT News, postdoc Nauman Dawalatabad discusses the ethical considerations, challenges, and positive impacts of audio deepfakes - the AI-generated audio that can mimic human voices. Recently, the technology has been misused causing public concern, for example, a robocall imitating Joe Biden’s voice instructed New Hampshire residents not to vote, while…

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Gretel AI has launched a fresh Synthetic Financial Dataset on HuggingFace 🤗 that caters to AI developers. It is multilingual and designed to aid in detecting personally identifiable information (PII).

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Large Language Model, Machine learning, New Releases, Staff, Tech News, Technology, UncategorizedJune 14, 2024135Views0Likes0Comments
Detecting personally identifiable information (PII) in documents can be a complex task due to numerous regulations like the EU's GDPR and multiple U.S. data protection laws. A flexible approach is needed given the variations in data formats and domain-specific requirements. In response, Gretel has developed a synthetic dataset to help with PII detection. Gretel's Navigator tool…

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