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Scientists improve side vision capabilities in AI modules.

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 17, 202444Views0Likes0Comments
Researchers from MIT have developed an image dataset that simulates peripheral vision in machine learning models, improving their object detection capabilities. However, even with this modification, the AI models still fell short of human performance. The researchers discovered that size and visual clutter, factors that impact human performance, largely did not affect the AI's ability.…

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Three Inquiries: 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 17, 202440Views0Likes0Comments
Audio deepfakes have recently been in the news, particularly in regards to their negative impacts, such as fraudulent robocalls pretending to be Joe Biden, encouraging people not to vote. These malicious uses could negatively affect political campaigns, financial markets, and lead to identity theft. However, Nauman Dawalatabad, a postdoc student at MIT, argues that deepfakes…

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Improving Reliability in Large Linguistic Models: Refining for Balanced Uncertainties in Critical Use-Cases

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 16, 202436Views0Likes0Comments
Large Language Models (LLMs) present a potential problem in their inability to accurately represent uncertainty about the reliability of their output. This uncertainty can have serious consequences in areas such as healthcare, where stakeholder confidence in the system's predictions is critical. Variations in freeform language generation can further complicate the issue, as these cannot be…

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MAGPIE: An Autonomous Development Approach for Producing Extensive Alignment Data by Initiating Aligned LLMs with Nullity

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 16, 202434Views0Likes0Comments
With their capacity to process and generate human-like text, Large Language Models (LLMs) have become critical tools that empower a variety of applications, from chatbots and data analysis to other advanced AI applications. The success of LLMs relies heavily on the diversity and quality of instructional data used for training. One of the operative challenges in…

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Enhancing AI Model Generalizability and Performance: New Loss Functions for Optimal Choices

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 16, 202438Views0Likes0Comments
Artificial Intelligence (AI) aims to create systems that can execute tasks normally requiring human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. Such technologies are highly beneficial in various industries such as healthcare, finance, transportation, and entertainment. Consequently, optimizing AI models to efficiently and precisely perform these tasks is a significant challenge…

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Researchers at Microsoft Present Samba 3.8B: A Straightforward Mamba+Sliding Window Attention System that Surpasses Phi3-mini in Principal Benchmark Tests

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Technology, UncategorizedJune 16, 202438Views0Likes0Comments
Large Language Models (LLMs) are crucial for a variety of applications, from machine translation to predictive text completion. They face challenges, including capturing complex, long-term dependencies and enabling efficient large-scale parallelisation. Attention-based models that have dominated LLM architectures struggle with computational complexity and extrapolating to longer sequences. Meanwhile, State Space Models (SSMs) offer linear computation…

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Understanding Minima Stability and Larger Learning Rates: Expanding on Gradient Descent within Over-Parametrized ReLU Networks

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 16, 202433Views0Likes0Comments
Neural networks using gradient descent often perform well even when overparameterized and initialized randomly. They frequently find global optimal solutions, achieving zero training error without overfitting, a phenomenon referred to as "benign overfitting." However, in the case of Rectified Linear Unit (ReLU) networks, solutions can lead to overfitting if they interpolate the data. Particularly in…

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This AI study from China introduces CREAM (Continuity-Relativity indExing with gAussian Middle), a streamlined but potent AI approach designed to broaden the context of extensive language models.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 16, 202432Views0Likes0Comments
Pre-trained Large language models (LLMs), such as transformers, typically have a fixed context window size, most commonly around 4K tokens. Nevertheless, numerous applications require processing significantly longer contexts, going all the way up to 256K tokens. The challenge that arises in elongating the context length of these models lies primarily in the efficient use of…

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Improving software testing through the utilization of 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 16, 202437Views0Likes0Comments
Generative AI has vast potential in creating synthetic data that can mimic real-world scenarios, which in turn can aid organizations in improving their operations. In line with this, DataCebo, a spinout from MIT, has developed a generative software system referred to as the Synthetic Data Vault (SDV), which has been employed by thousands of data…

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Scientists improve the side vision capabilities in artificial intelligence models.

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 16, 202438Views0Likes0Comments
Peripheral vision, most humans' mechanism to see objects not directly in their line of sight, although with less detail, does not exist in AI. However, researchers at MIT have made significant progress towards this by developing an image dataset to simulate peripheral vision in machine learning models. The research indicated that models trained with this…

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Three Queries: Essential Information Regarding Deepfakes in the Audio Realm

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, 202435Views0Likes0Comments
Nauman Dawalatabad, a postdoctoral researcher discusses the concerns and potential benefits of audio deepfake technology in a Q&A with MIT News. He addresses ethical considerations regarding the concealment of a source speaker’s identity in audio deepfakes, noting that speech contains a wealth of sensitive personal information beyond identity and content, such as age, gender and…

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What does the future hold for Artificial Intelligence (AI), given the existence of 700,000 advanced language models on Hugging Face?

AI Shorts, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 16, 202436Views0Likes0Comments
The proliferation of Large Language Models (LLMs) in the field of Artificial Intelligence (AI) has been a topic of much debate on Reddit. In a post, a user highlighted the existence of over 700,000 LLMs, raising questions about the usefulness and potential of these models. This has sparked a broad debate about the consequences of…

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