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Researchers from ETH Zurich have revealed new understandings of compositional learning in artificial intelligence through using modular hypernetworks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 3, 202439Views0Likes0Comments
From a young age, humans showcase an impressive ability to merge their knowledge and skills in novel ways to construct solutions to problems. This principle of compositional reasoning is a critical aspect of human intelligence that allows our brains to create complex representations from simpler parts. Unfortunately, AI systems have struggled to replicate this capability…

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A Chinese AI research article introduces MineLand: A Minecraft simulator involving multiple agents, designed to bridge the gap between multi-agent simulations and real-world intricacy.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 3, 202442Views0Likes0Comments
Artificial intelligence's progression in recent years has seen an increased focus on the development of multi-agent simulators. This technology aims to create virtual environments where AI agents can interact with their surroundings and each other, providing researchers with a unique opportunity to study social dynamics, collective behavior, and the development of complex systems. However, most…

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Over 25 companies, all members of Y Combinator, have developed their own AI models instead of resorting to other’s pre-developed frameworks via an API operating as a black box.

AI Shorts, AI Startups, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 3, 202437Views0Likes0Comments
Y Combinator, a well-known startup accelerator, has demonstrated a notable shift in the AI landscape by showcasing over 25 startups that have built their own AI models. This contradicts the common perception that only large companies with significant resources can afford to develop AI technology. Instead, these startups, supported by Y Combinator's strategic advantages such…

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DRAGIN: An Innovative Machine Learning Infrastructure for Enhanced Dynamic Retrieval in Expansive Language Models Surpassing Traditional Techniques

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedApril 3, 202438Views0Likes0Comments
The Dynamic Retrieval Augmented Generation (RAG) approach is designed to boost the performance of Large Language Models (LLMs) through determining when and what external information to retrieve during text generation. However, the current methods to decide when to recover data often rely on static rules and tend to limit retrieval to recent sentences or tokens,…

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Google DeepMind scientists have introduced ‘Gecko’; a flexible, space-efficient embedding model enhanced by the immense global knowledge offered by Language Models.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 3, 202434Views0Likes0Comments
Researchers from Google DeepMind have introduced Gecko, a groundbreaking text embedding model to transform text into a form that machines can comprehend and act upon. Gecko is unique in its use of large language models (LLMs) for knowledge distillation. As opposed to conventional models that depend on comprehensive labeled datasets, Gecko initiates its learning journey…

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Anthropic Investigates Numerous Attempts at Jailbreaking: Revealing AI’s Latest Vulnerability

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedApril 3, 202440Views0Likes0Comments
Large language models (LLMs), such as those developed by Anthropic, OpenAI, and Google DeepMind, are vulnerable to a new exploit termed "many-shot jailbreaking," according to recent research by Anthropic. Through many-shot jailbreaking, the AI models can be manipulated by feeding them numerous question-answer pairs depicting harmful responses, thus bypassing the models' safety training. This method manipulates…

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An automated setup instructs users about the appropriate timing for cooperation with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202438Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that educates a user on when to trust an AI assistant's recommendations. During the onboarding process, the user practices collaborating with the AI using training exercises and receives feedback on their and the AI's performance. This system led to a 5% improvement…

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MIT researchers investigating the influence and uses of generative AI have received the second installment of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedApril 3, 202445Views0Likes0Comments
Last summer, MIT called upon the academic community to provide papers that suggest effective approaches and policy recommendations in the field of generative AI. Expectations were surpassed when 75 proposals were received. After reviewing these submissions, the institution funded 27 of the proposed projects. During the fall, the response to a second call for proposals…

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MIT initiates task force focusing on Generative AI and its influence on Future Employment.

Artificial Intelligence, Collaboration, Digital technology, Industrial Performance Center, Industry, Labor and jobs, Policy, Research, Technology and policy, Technology and society, UncategorizedApril 3, 202440Views0Likes0Comments
MIT has formed a working group to study generative AI's impact on existing and future jobs. The group is made up of 25 corporations and nonprofits, along with MIT faculty and students. Their aim is to gather data on how teams are utilizing generative AI tools and the effect of these tools on the workforce.…

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Prolonged analysis of U.S. census data indicates that the majority of jobs are new roles.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedApril 3, 202443Views0Likes0Comments
New work in the U.S., or work in occupations that have largely emerged since 1940, constitute the majority of jobs, according to a comprehensive new study led by MIT economist David Autor. The research found that most of today's jobs require expertise that didn't exist or wasn't relevant in 1940. The study, which examined the period…

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Does technology assist or harm job opportunities?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedApril 3, 202435Views0Likes0Comments
A study led by MIT economist, David Autor, reveals that technology has replaced more American jobs than it has created since 1940, and particularly since 1980. This is due to a rise in the rate of automation alongside a slower rate of augmentation over the past four decades. The researchers developed a new method to…

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