Marktechpost

NOVEMBER 12, 2023

The recent development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) models has turned the discussion of Artificial General Intelligence (AGI) into a matter of immediate practical importance. This framework has introduced three important dimensions: autonomy, generality, and performance.

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Artificial Intelligence Artificial Intelligence Categorization Machine Learning 138

Marktechpost

MARCH 7, 2024

Recent years have seen a change in several fields brought about by Large Language Models (LLMs) and their incredible ability to generate lengthy sequences. Researchers have investigated methods for generating music via language modeling. Researchers from Skywork AI PTE. Check out the Paper.

LLM 130

LLM Metadata Large Language Models AI 130

Unite.AI

FEBRUARY 16, 2024

This is the vision of Artificial General Intelligence (AGI), a hypothetical form of AI that has the potential to accomplish any intellectual task that humans can. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

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Neural Network Algorithm Machine Learning Natural Language Processing 195

AI Weekly

DECEMBER 28, 2023

Powered by superai.com In the News AI : the Biggest Tech Investing Theme for 2024 It may have been a breakout year for generative AI in 2023. But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts.

Robotics 202

Robotics Deep Learning Artificial Intelligence Artificial Intelligence 202

Unite.AI

MAY 3, 2024

Andrew Gordon draws on his robust background in psychology and neuroscience to uncover insights as a researcher. Prolific was created by researchers for researchers, aiming to offer a superior method for obtaining high-quality human data and input for cutting-edge research.

AI Researcher 130

AI Researcher AI Research Data Quality AI Developer 130

Ehud Reiter

JANUARY 15, 2024

We also give practical suggestions for researchers who want to avoid the sort of problems we found in ReproHum, such as piloting UIs, following good software development practices, and automatically generating Latex for tables (etc) from data sets; again this isnt rocket science. I researchers may decide this is not worth doing.

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NLP Computational Linguistics Software Development 259

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 209

Data Science Data Scientist Machine Learning Data Mining 209

Unite.AI

MAY 8, 2024

The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. In this article, we will delve into the latest research at the intersection of graph machine learning and large language models.

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Neural Network Large Language Models LLM BERT 173

Marktechpost

FEBRUARY 14, 2024

The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges. Check out the Paper.

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LLM Natural Language Processing Large Language Models AI 131

Marktechpost

JANUARY 12, 2024

One of the most important areas of NLP is information extraction (IE), which takes unstructured text and turns it into structured knowledge. At the same time, Llama and other large language models have emerged and are revolutionizing NLP with their exceptional text understanding, generation, and generalization capabilities.

Large Language Models 131

Large Language Models Chatbots BERT NLP 131

Marktechpost

DECEMBER 28, 2023

The research field concerned with this study revolves around advancing machine reasoning capabilities. This interdisciplinary field draws upon cognitive science, linguistics, computer science, and artificial intelligence to develop more robust and versatile reasoning mechanisms for machines, especially in complex real-world scenarios.

Machine Learning 122

Machine Learning LLM Artificial Intelligence Artificial Intelligence 122

Marktechpost

FEBRUARY 6, 2024

Despite their strength in formal linguistic competence, new research shows that LLMs aren’t very good at functional language competence. The researchers aimed to design domain-invariant problem solvers, and they revealed these solvers as building blocks for creating compositional functions as computational graphs.

Machine Learning 115

Machine Learning Large Language Models Generative AI ML 115

Marktechpost

NOVEMBER 27, 2023

Some studies have even shown that GPT 4 displays preliminary evidence of Artificial General Intelligence (AGI). GPT-4’s effectiveness in general AI tasks has led scientists and researchers to look into different scientific domains focussing on LLMs. All credit for this research goes to the researchers of this project.

Large Language Models 121

Large Language Models Natural Language Processing LLM Artificial Intelligence 121

Marktechpost

FEBRUARY 21, 2024

To address these limitations, a team of researchers from Nanjing University of Science and Technology, JD Explore Academy, Yunnan University and the University of Sydney has presented a unique approach to Indirect Reasoning (IR) in recent research to strengthen the reasoning ability of LLMs.

Automation 136

Automation AI Researcher AI Research Large Language Models 136

Unite.AI

FEBRUARY 19, 2024

According to Precedence Research, the hyperautomation market size will hit USD 197.58 RPA has been in existence for over two decades, delivering deterministic outcomes using structured data in areas such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM). trillion by 2026. billion by 2032. billion by 2032.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

AI Weekly

OCTOBER 26, 2023

reuters.com Robotics MIT and Amazon team up to study robots in the workplace The goal is to expand on the three-year “Work of the Future” initiative that resulted in a 2020 report on how automation technologies could create better jobs for people, by MIT professor Julie Shah, who leads the Interactive Robotics Group of the Computer Science and AI.

Neural Network 197

Neural Network Convolutional Neural Networks Robotics Deep Learning 197

Ehud Reiter

MAY 5, 2024

There is a lot of excitement about using LLMs and AI more generally in medicine, but it sometimes seems that enthusiasts have limited awareness of the history of AI in Medicine. If AI researchers do not adapt their work to real world clinical contexts, they risk producing models that are irrelevant, infeasible, or irresponsible to implement.

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AI AI ML Explainability 109

Flipboard

JANUARY 5, 2024

At Columbia University’s Science of Learning Research Initiative (SOLER), our work is dedicated to examining the academic experience of our students and instructors through a scientific lens. Much of the discourse about generative AI in higher ed has focused on issues of academic integrity.

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AI Tools Generative AI ChatGPT AI 164

Marktechpost

JANUARY 6, 2024

Additional insights are gained from LLMs’ capacity to comprehend and control intricate strategic contexts; for example, previous research has shown that transformers trained to predict the next token in board games like Othello create detailed models of the current game state. Check out the Paper.

Large Language Models 128

Large Language Models Natural Language Processing LLM AI 128

Ehud Reiter

FEBRUARY 27, 2023

I’ve seen all kinds of people make comments recently about the value of academic research in NLP. The basic argument is that significant research on large language models such as chatGPT, which is the hottest/trendiest area in NLP, happens in companies (instead of universities) because it requires lots of resources.

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NLP Large Language Models OpenAI Chatbots 100

AI Impacts

APRIL 15, 2024

We believe 1 that this area could be a crucial target for differential technological development, but is at present poorly understood and receives little attention. What preparatory research could provide the best groundwork for humanity to automate high-quality wisdom/philosophy before it is necessary? Nonprofits? Frontier AI labs?

Automation 124

Automation AI AI 124

Google Research AI blog

APRIL 19, 2023

This endeavor necessitates fundamental and applied research with an interdisciplinary lens that engages with — and accounts for — the social, cultural, economic, and other contextual dimensions that shape the development and deployment of AI systems. Our team, Technology, AI, Society, and Culture (TASC), is addressing this critical need.

Responsible AI 120

Responsible AI Computer Vision AI AI 120

NYU Center for Data Science

JULY 13, 2023

Berfin is a fifth-year doctoral researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Computer and Communication Sciences. She brings a robust background in mathematics and physics, and her research focuses on neural network theory and other related areas such as random features and out-of-distribution generalization.

Neural Network 74

Neural Network Deep Learning Machine Learning AI 74

Marktechpost

FEBRUARY 12, 2024

Researchers from the University of Oulu, the National University of Defense Technology, the Chinese Academy of Sciences, and the Aviation University of Air Force aim to improve DCNN efficiency by delving into the inner workings of deep features. There are three notable characteristics of PDC in general.

Convolutional Neural Networks 133

Convolutional Neural Networks Neural Network Computer Vision Algorithm 133

NYU Center for Data Science

JULY 28, 2023

The international machine learning educational summit, held from July 8th through the 16th, was organized by AI for Global Goals in collaboration with the University of Oxford Deep Medicine and the Canadian Institute for Advanced Research (CIFAR). At CDS, He’s research focuses on increasing the trustworthiness of human-AI collaboration.

Machine Learning 82

Machine Learning Large Language Models NLP Natural Language Processing 82

Unite.AI

FEBRUARY 9, 2024

Our non-invasive sensors cover larger areas of the brain, allowing for more effective recording of functional dynamics crucial for imagined speech and other areas of interest. Our research and development has encountered various challenges and uncertainties, showcasing the novelty of our approach.

Large Language Models 147

Large Language Models Machine Learning Computer Vision Robotics 147

Marktechpost

JUNE 9, 2023

Not only can password leaks provide hackers access to systems, but they also allow researchers to look for hidden patterns in user-generated passwords that may be used to develop and improve password-cracking tools. PassVQT, the resultant architecture, can make generated passwords more complex. Check Out The Paper.

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LLM Large Language Models ML AI Tools 98

ODSC - Open Data Science

SEPTEMBER 13, 2023

The main aim of my talk at ODSC West will be to enable the attendees to assimilate the key concepts in the area, and position graph representation learning in a proper context with related fields, making graph representation learning easy to navigate, leverage, and contribute to.

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Neural Network Deep Learning Data Science Machine Learning 52

Marktechpost

JULY 24, 2023

They try to capture spatial and temporal artifacts in this research to identify broad video face-faking. However, they discover that naive training may make it depend too readily on spatial artifacts while disregarding temporal artifacts to get to a conclusion, leading to a poor generalization capacity.

AI Researcher 52

AI Researcher AI Research AI AI 52

ODSC - Open Data Science

MARCH 11, 2024

Google’s DeepMind is elbow-deep in some incredible pieces of research and AI innovation. So let’s take a quick dive and see what the team is up to and hopefully get an idea of what the future might hold for the prestigious research team.

Neural Network 52

Neural Network Robotics Data Science Algorithm 52

NYU Center for Data Science

JULY 21, 2023

The Minds, Brains, & Machines (MBM) initiative at NYU , sponsored and supported by the Center for Data Science, was created to stand as a world-class nexus for this kind of research, doing its part to facilitate what may be, in an unprecedented era of AI explosion, currently the world’s most important cross-disciplinary conversation.

Neural Network 85

Neural Network Large Language Models Data Science Deep Learning 85

Marktechpost

AUGUST 19, 2023

Keeping up with recent research is becoming increasingly difficult due to the rise of scientific publications. Researchers use various techniques, from search interfaces to recommendation systems, to investigate connected intellectual entities, such as authors and institutions. They often have use limitations. Check out the Paper.

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Linked Data AI AI Data Analysis 98

Ehud Reiter

APRIL 4, 2023

I love getting such questions, because they are much more constructive than, say, debating whether chatGPT is “Artificial general intelligence” (AGI) or a threat to humanity. To me, the most important question about GPT and LLM technology more generally is what it can and cannot do.

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ChatGPT LLM Large Language Models Chatbots 100

ODSC - Open Data Science

MARCH 24, 2023

LLMs can also be used to monitor patients and provide real-time alerts, analyze scientific research to help identify new drugs, analyze electronic health records to improve patient care, and to provide interactive simulations and virtual patient interactions to help with education.

Large Language Models 84

Large Language Models LLM Chatbots Data Science 84

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields.

Machine Learning 98

Machine Learning Data Science Artificial Intelligence Artificial Intelligence 98

AWS Machine Learning Blog

MARCH 30, 2023

In general, these requirements diverge substantially from the use cases of typical ML object detection models. IoU calculates the alignment between two annotations by dividing the annotations’ area of overlap by the annotations’ area of union, yielding a metric that ranges from 0–1.

Machine Learning 83

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 83

ODSC - Open Data Science

SEPTEMBER 19, 2023

Through brainstorming sessions, user feedback analysis, and market research, they identify opportunities for enhancing the models they’re working on. Engineers delve into the architecture of LLMs, identifying potential bottlenecks and areas for improvement. If anything, it’s more important.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98