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NVIDIA GTC 2024: Boost progression utilizing generative AI on AWS

Announcements, Artificial Intelligence, Generative AI, UncategorizedApril 12, 202438Views0Likes0Comments
AWS recently connected with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global AI conference held in March 2024 in San Jose, California. During the conference, AWS and NVIDIA celebrated their 13-year collaboration, highlighting their ongoing efforts to enable developers access to cutting-edge AI technology, including AWS’s pioneering role in offering NVIDIA…

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SpeechAlign: Improving Speech Synthesis through Human Input to Increase Realism and Expressivity in Tech-Based Communication

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 11, 202443Views0Likes0Comments
Speech synthesis—the technological process of creating artificial speech—is no longer a sci-fi fantasy but a rapidly evolving reality. As interactions with digital assistants and conversational agents become commonplace in our daily lives, the demand for synthesized speech that accurately mimics natural human speech has escalated. The main challenge isn't simply to create speech that sounds…

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The Illusion of “Zero-Shot”: The Restraint of Limited Data on Multimodal AI

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 11, 202436Views0Likes0Comments
In the field of Artificial Intelligence (AI), "zero-shot" capabilities refer to the ability of an AI system to recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. Companies like Google and OpenAI have made advances in multi-modal AI models such as CLIP and DALL-E, which perform well…

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Stanford and MIT researchers have unveiled the Stream of Search (SoS): A Machine Learning structure, designed to allow language models to learn how to resolve issues by conducting searches in language without relying on any external assistance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202436Views0Likes0Comments
To improve the planning and problem-solving capabilities of language models, researchers from Stanford University, MIT, and Harvey Mudd have introduced a method called Stream of Search (SoS). This method trains language models on search sequences represented as serialized strings. It essentially presents these models with a set of problems and solutions in the language they…

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A collaborative team from MIT and Stanford introduced the Search of Stream (SoS), a machine learning structure that allows language models to learn problem-solving skills through linguistic searching without the need for external assistance.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202442Views0Likes0Comments
Language models (LMs) are a crucial segment of artificial intelligence and can play a key role in complex decision-making, planning, and reasoning. However, despite LMs having the capacity to learn and improve, their training often lacks exposure to effective learning from mistakes. Several models also face difficulties in planning and anticipating the consequences of their…

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This AI Research Presents ReasonEval: An Innovative Machine Learning Approach for Assessing Mathematical Logic Beyond Precision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202439Views0Likes0Comments
The complexity of mathematical reasoning in large language models (LLMs) often exceed the capabilities of existing evaluation methods. These models are crucial for problem-solving and decision-making, particularly in the field of artificial intelligence (AI). Yet the primary method of evaluation – comparing the final LLM result to a ground truth and then calculating overall accuracy…

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The University of Cambridge’s researchers have suggested AnchorAL: an innovative method of machine learning for active learning in tasks involving unbalanced classification.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedApril 11, 202435Views0Likes0Comments
Generative language models in the field of natural language processing (NLP) have fuelled significant progression, largely due to the availability of a vast amount of web-scale textual data. Such models can analyze and learn complex linguistic structures and patterns, which are subsequently used for various tasks. However, successful implementation of these models depends heavily on…

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Meta has unveiled a machine learning (ML) method that enables holistic solutions to networking issues across various layers, including Bandwidth Expansion (BWE).

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 11, 202433Views0Likes0Comments
Meta has developed a machine-learning (ML) model to improve the efficiency and reliability of real-time communication (RTC) across its various apps. Developing this ML-based solution is an answer to the limitations of existing bandwidth estimation (BWE) and congestion control methods, such as the Google Congestion Controller (GCC) used in WebRTC, which relies on hand-tuned parameters…

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The team from MIT has published research papers on the management of Artificial Intelligence.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Government, Machine learning, MIT Schwarzman College of Computing, Policy, School of Engineering, Technology and society, UncategorizedApril 11, 202436Views0Likes0Comments
A committee formed by MIT scholars and leaders has released a series of policy briefs that propose a framework for artificial intelligence (AI) governance in the United States. The proposed approach extends existing regulatory and liability procedures to manage AI effectively. The committee believes this could boost the country's leadership position in AI while minimizing…

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A computational expert advances the frontiers of geometric studies.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Machine learning, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedApril 11, 202440Views0Likes0Comments
Over 2,000 years ago, Euclid, the Greek mathematician, laid the foundation of geometry and altered our perception of shapes. Justin Solomon, inspired by Euclid's work, applies modern geometric techniques to resolve challenging problems that may not appear related to shapes. As an associate professor at the MIT Department of Electrical Engineering and Computer Science and…

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