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In order to improve the efficiency of an AI assistant, begin by simulating the unpredictable actions of individuals.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 2, 202430Views0Likes0Comments
MIT and the University of Washington researchers have developed a model to understand and predict human behavior by considering computational constraints that limit decision-making abilities for both humans and machines. One of the defining points about the model is its ability to derive an agent's computational constraints or "inference budget" based on a few previous…

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For the improvement of AI assistance, initially emulate the unpredictable actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedAugust 2, 202428Views0Likes0Comments
Researchers from MIT and the University of Washington have developed a model to predict human behavior that accounts for computational constraints. These constraints can impact the problem-solving abilities of both human and artificial intelligences (AI). The model can infer an “inference budget”, a computation of the possible constraints on an agent’s problem-solving methods, by observing…

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This small microchip can protect user information whilst facilitating effective processing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedAugust 2, 202431Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that combats cyber threats, thereby protecting sensitive user data. While certain health or fitness apps employ these vast machine-learning models to provide insights, they can sometimes prove to be sluggish and consume a large amount of energy due to the shifting…

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A data set for artificial intelligence paves fresh avenues for identifying tornadoes.

Algorithms, Artificial Intelligence, Climate change, Data, Disaster response, Lincoln Laboratory, Machine learning, Natural disasters, Radar, Research, Technology and society, Uncategorized, Weather, Weather modelingAugust 2, 202426Views0Likes0Comments
With the arrival of spring in the Northern Hemisphere, tornado season begins. Despite their appearance being easily recognizable, detecting tornadoes with radar presents a challenge, making it difficult to pinpoint when and why these destructive phenomena occur. A breakthrough may be on the horizon with the TorNet dataset, recently released as open source by researchers…

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Implement efficient insurance underwriting with generative AI through Amazon Bedrock – Segment 1

Amazon Machine Learning, UncategorizedAugust 2, 202429Views0Likes0Comments
The insurance industry's underwriting process involves several crucial steps, including gathering and verifying information about the applicant, assessing risk, determining premiums, customizing policies, and making final decisions. However, challenges in document understanding can hinder the process, leading to inefficient rule validation, inconsistent adherence to underwriting guidelines, and unclear decision justification. To address such challenges, insurers…

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This AI document by Apple presents the base language models that fuel Apple’s intelligence features: On-Device AFM and Server AFM.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 1, 202438Views0Likes0Comments
Apple's researchers have risen to the challenge of developing AI language models that prioritize efficiency, accuracy, ethical considerations, and user privacy. Two such models have been developed: one with three billion parameters that is optimized for on-device use, and a larger server-based model made for Apple's Private Cloud Compute. These models take us closer to…

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Presenting JCDS and JWDS: Innovative Methods for Identifying Dense Subgraph in Time-Based Graphs.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedAugust 1, 202432Views0Likes0Comments
This article presents research by scientists from the University of Helsinki, who have developed advanced algorithms for detecting dense subgraphs in temporal networks. Their work addresses two key challenges in temporal network analysis: identifying Jaccard Constrained Dense Subgraphs (JCDS) and discovering Jaccard Weighted Dense Subgraphs (JWDS). The goal of their research was to maximize total…

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What is the Significance of the Reference Model in Direct Preference Optimization (DPO)? A Practical Evaluation of Ideal KL-Divergence Constraints and Importance

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 1, 202430Views0Likes0Comments
Direct Preference Optimization (DPO) is a sophisticated training technique used for refining large language models (LLMs). It does not depend on a single gold reference like traditional supervised fine-tuning, instead, it trains models to identify quality differences among multiple outputs. Adding reinforcement learning approaches, DPO can learn from feedback, making it a useful technique for…

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Introducing Torchchat: A Versatile Infrastructure for Speeding Up Llama 3, 3.1, along with Other Extensive Language Models on Laptop, Desktop, and Mobile Devices.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedAugust 1, 202430Views0Likes0Comments
The rapid development of Large Language Models (LLMs) has transformed multiple areas including generative AI, Natural Language Understanding, and Natural Language Processing. However, hardware constraints have often limited the ability to run these models on devices such as laptops, desktops, or mobiles. In response to this, the PyTorch team has developed Torchchat, a versatile framework…

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Darts: A Brand-New Python Repository for Intuitive Prediction and Abnormality Identification in Time Series Data

AI Shorts, AI Tool, Artificial Intelligence, Editors Pick, Python, Staff, Tech News, Technology, UncategorizedAugust 1, 202433Views0Likes0Comments
Time series data, which involves sequential observations recorded over time, is essential in various aspects of life including business and environmental studies. There are numerous models and tools available for time series analysis, but their diverse APIs and complexities pose challenges to users. To address these difficulties, a company called Unit8 developed Darts, an open-source…

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Darts: An Innovative Python Library for User-Accessible Predictions and Irregularity Identification in Time Series

AI Shorts, AI Tool, Artificial Intelligence, Editors Pick, Python, Staff, Tech News, Technology, UncategorizedAugust 1, 202430Views0Likes0Comments
Time series data is prevalent in various sectors, including weather forecasting, business strategizing, and complex systems monitoring. Effective processing of this data can aid in areas like strategic business planning and anomaly detection. Despite the availability of numerous tools for time series analysis, their complexities often pose challenges to the user. Addressing this issue, a…

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