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The Gemma 2-2B model has been launched, featuring an advanced text generation capability with 2.6 billion parameters, enhanced security measures, and the ability to deploy on the device itself.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Open Source, Open Source Projects, Small Language Model, Staff, Tech News, Technology, UncategorizedAugust 1, 202433Views0Likes0Comments
Google's AI research team, DeepMind, has unveiled Gemma 2 2B, its new, sophisticated language model. This version, supporting 2.6 billion parameters, is optimized for on-device use and is a top choice for applications demanding high performance and efficiency. It holds enhancements for handling massive text generation tasks with more precision and higher levels of efficiency…

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To develop a superior artificial intelligence assistant, commence by replicating the illogical actions exhibited by 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 1, 202431Views0Likes0Comments
Researchers from MIT and the University of Washington have created a model that considers the computational constraints of an agent, which could be a human or a machine, resulting in a more accurate prediction of the agent's actions. Humans, despite having sophisticated decision-making abilities, are often irrational and tend to behave suboptimally due to computational constraints.…

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This compact microchip can protect user information and boost effective computing 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 1, 202428Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that strengthens the security of health-monitoring apps and other AI-powered devices. These apps and devices, which can help manage chronic diseases or track fitness progress, run on complex machine-learning models. This requires substantial data transfer between a central memory server and…

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A dataset on artificial intelligence paves new ways 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 1, 202436Views0Likes0Comments
A newly released open-source dataset could revolutionize the prediction and detection of tornadoes by using machine learning. Called TorNet, the Massachusetts Institute of Technology's dataset is composed of radar returns from thousands of tornadoes in the last 10 years. Alongside the dataset, models trained on it, which demonstrate the capacity of machine learning to identify…

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Image Restoration using Artificial Intelligence

Guest Post, UncategorizedAugust 1, 202439Views0Likes0Comments
In the digital era, images play a central role in varied areas, namely scientific research, historical preservation, and everyday communication. Unfortunately, these images can deteriorate in quality due to a variety of factors, making image restoration important. Saiwa Company provides such services, integrating inpainting and denoising aspects to result in high-quality image restoration. The use of…

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What exactly is a Data Product and what is its importance to you?

Business, Corporate, Data, DigiXT, Generative AI, UncategorizedAugust 1, 202433Views0Likes0Comments
Data products are increasingly becoming indispensable for organizations looking to harvest insights from raw data. Positioned at the "Peak of Inflated Expectations" curve on Gartner's Hype Cycle for Data and Analytics in 2024, data products are a high-buzz topic, but their potential has not been fully realized yet. However, projections show that they are set…

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Researchers from Carnegie Mellon University Investigate Professional Advice and Tactical Variations in Multi-Agent Mimic Learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedAugust 1, 202433Views0Likes0Comments
Carnegie Mellon University researchers are exploring the complexities of multi-agent imitation learning (MAIL), a mediation strategy in which a group of agents (like drivers on a road network) are coordinated through action recommendations, despite the mediator lacking knowledge of their utility functions. The challenge of this approach lies in specifying the quality of those recommendations,…

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Researchers from Carnegie Mellon University Study Guidance from Experts and Strategic Departures in Multi-Agent Imitation Learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedAugust 1, 202431Views0Likes0Comments
Researchers from Carnegie Mellon University are examining the challenge of a mediator coordinating a group of strategic agents without knowledge of their underlying utility functions, referred to as multi-agent imitation learning (MAIL). This is a complex issue as it involves providing personalised, strategic guidance to each agent without a comprehensive understanding of their circumstances or…

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