AI Weekly

MARCH 14, 2024

Safety and trustworthiness is at the top of mind for researchers Samsung AI Forum will host over 1,000 attendees, including researchers, academics, industry experts, and students. Researchers tried to get AI optimists and pessimists on the same page. The first day, hosted by Samsung Advanced. lemonde.fr

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Ehud Reiter

APRIL 8, 2024

1 Evaluate what is important Many things can be measured in an evaluation, and researchers should focus on what is important scientifically or practically. Unfortunately, when I look at the research literature, I see a *lot* of evaluations which focus on measuring stuff that is relatively easy to measure (eg.,

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Ehud Reiter

JANUARY 30, 2024

Over the past year I have on several occasions encouraged NLP researchers to do systematic reviews of the research literature. I Systematic reviews are a methodology for doing surveys in a more objective and repeatable fashion, and usually focus on gathering what is known about specific research questions. They

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Ehud Reiter

MARCH 6, 2023

I recently read a shocking article on the Economist on fraud in (bio)medical research. No one knows for sure, but some people think 2% of published papers in biomedical research are fraudulent. Pretty scary, especially since people have probably died because of incorrect medical care driven by fraudulent research.

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Ehud Reiter

NOVEMBER 12, 2023

Unfortunately, real-world impact evaluations are rare in the NLP research literature; it does not seem to be part of our culture. Indeed, most of my discussions have been with researchers who work in other areas (such as medicine) where it is expected that high-quality evaluations will measure whether something works in the real world.

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AI Weekly

JULY 27, 2023

This exclusive deal gets you access to eight of the web’s highest-rated apps, including Word, Excel, Publisher, and Access for enhanced efficiency in the ever-changing digital workplace. Supercharge Your Productivity for Life Step into the future of productivity with a lifetime license to Microsoft Office. Now through 7/31, just pay $39.99

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NYU Center for Data Science

JUNE 30, 2023

Designed by researchers at the NYU Grossman School of Medicine, NYUTron is trained on text from electronic health records. As a medical fellow for NYU Langone Health, Lavender’s work explores clinical predictions using natural language processing. Read our Q&A with Lavender below!

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NYU Center for Data Science

MAY 3, 2023

A team of NYU researchers including CDS masters students Tharangini Sankarnarayanan , Lev Paciorkowski, and Khevna Parikh tackled this issue for their capstone project, developing a dataset of objects regularly encountered by those with low vision. The work was additionally supported by the U.S.

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Towards AI

JANUARY 30, 2024

Last Updated on January 30, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were interested in seeing several new AI models and studies focusing on medical applications and diagnostics.

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NYU Center for Data Science

NOVEMBER 23, 2022

The model’s datasets are currently the largest publicly available for studying dementia CDS PhD student, Sheng Liu Alzheimer’s is the most prevalent form of dementia, and early diagnosis of the disease is essential to clinical trials and necessary treatments. Machine learning has proved to be an effective method for medical disease detection.

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Unite.AI

MAY 22, 2024

In the field of education, GPT-4o could be leveraged to create immersive and personalized learning experiences, with the model adapting its teaching style and content delivery to suit each individual student's needs and preferences.

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AI Weekly

APRIL 20, 2023

bbc.com Ethics TEDx : How I'm fighting bias in algorithms MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures.

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Heartbeat

FEBRUARY 7, 2024

While deepfakes have frequently been linked to compromising credibility and trust, the same technology can revolutionize scientific research, education, entertainment, and other fields. Medical Simulations: Medical professionals and students can benefit from lifelike medical simulations replicating complex procedures and scenarios.

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Unite.AI

SEPTEMBER 12, 2023

Prior to Insitro, he served as VP of Applied and Computational Biology at Illumina, leading research and technology development of AI and molecular assays for making genomic data more interpretable in human health. I left Stanford in 2016 to lead a research and technology development team at Illumina.

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NYU Center for Data Science

MAY 31, 2023

CDS Assistant Professor/Faculty Fellow Jacopo Cirrone discusses his work harnessing data science in medical image analysis CDS Assistant Professor/Faculty Fellow, Dr. Jacopo Cirrone Medical image analysis has significantly benefited in recent years from machine learning-based modeling tools.

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Ehud Reiter

APRIL 4, 2023

Example: chatGPT in health chatbots One of my PhD students, Simone Balloccu, is interested in using chatGPT in health chatbots. I have an MSc student who is doing something similar to investigate chatGPT in a software development context, and he is also finding out interesting things about strengths and weaknesses.

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Marktechpost

JULY 12, 2023

Additionally, these models do not have access to external sources, which limits their usefulness in scientific research. ChatGPT in Drug Discovery Researchers from Michigan State University have explored the use of ChatGPT in drug discovery. ChatGPT can also assist students in phylogenetic analyses.

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ODSC - Open Data Science

NOVEMBER 29, 2023

In a study published in Nature, a research team at the University of Basel and the SIB Swiss Institute of Bioinformatics have used deep learning to make these discoveries and help push the envelope of protein science. One of the issues that had to be handled before AI tools such as AlphaFold was the sheer amount of data.

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Towards AI

JULY 25, 2023

Author(s): Towards AI Editorial Team Originally published on Towards AI. In particular, there was a lively debate around a recent study conducted by students from Stanford and Berkeley. The research specified that they did not use any special prompting technique.

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Defined.ai blog

MARCH 8, 2023

When GPT meets Medicine Enthusiasm for tools like ChatGPT is relatively new, however research and investment in bringing transformer technology to important fields like medicine has been happening for years. percent on the US Medical Licensing Examination , a rigorous multipart exam that students in medical school must pass to become doctors.

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Mlearning.ai

MARCH 7, 2023

Let’s say we have a dataset of students appearing for a certain exam such that: Example Dataset Here in the dataset, we have Study Hours indicating the number of hours a student studied, and Output showing whether a student Pass or Fail the exam. Predict the value of the dependent variable with respect to independent variables.

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Towards AI

APRIL 10, 2023

Last Updated on April 12, 2023 by Editorial Team Author(s): Supreet Kaur Originally published on Towards AI. Industry-specific use cases of prompt engineering Healthcare: Prompt engineering is being used to improve the accuracy of medical diagnosis, develop new treatments, and personalize healthcare. Published via Towards AI

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Google Research AI blog

FEBRUARY 28, 2023

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and expands capabilities community-wide.

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Google Research AI blog

JANUARY 24, 2023

Posted by Posted by Alvin Rajkomar, Research Scientist, and Eric Loreaux, Software Engineer, Google Research Today many people have digital access to their medical records , including their doctor’s clinical notes. The model input is a string that may or may not contain medical abbreviations.

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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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John Snow Labs

MAY 8, 2024

These advanced AI systems have been meticulously trained on datasets covering aspects of medical information, such, as patient records, clinical notes, pathological data and imaging. Through this training process LLMs have gained an ability to process, analyze and comprehend large amounts of unstructured medical data.

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Mlearning.ai

JUNE 16, 2023

The current practice of building AI applications in the Medical Imaging space often sticks to a suboptimal approach. The most common recipe takes an architecture designed for natural image datasets such as ImageNet and then fine-tunes the model on medical images. Why ImageNet transfer learning is NOT so good for medical images.

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Mlearning.ai

JUNE 14, 2023

Machine Learning, a foundation of the recent AI revolution, brings innovation to a medical domain such as patient disease diagnosis. To preprocess a scan, we will be using MONAI (Medical open network for artificial intelligence). MONAI is an open-source framework for accelerating research and development in medical imaging.

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Flipboard

JUNE 13, 2023

a problem that could be solved by any elementary school student who has learned how to carry. I first tried asking a medical question. I’m not a doctor, so the question was simple: what’s the latest research on antibiotic-resistant bacteria? But that begged the question: what about more complex arithmetic?

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TheSequence

JULY 23, 2023

GET THE REPORT 🔎 ML Research CM3leon Meta AI Research published a paper introducing CM3leon a text-to-image and image-to-text foundation model. SimPer Google Research published a paper detailing SimPer, a self-supervised model for periodic data. million in a new round. AI chatbot platform Character.ai

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Robotics 52

Mlearning.ai

AUGUST 6, 2023

I have answered hundreds of questions from students over the past 2 years in my teaching role. My students and me. The students have asked questions from many different angles, some of which I’ve never thought of before. This is what I’ve told many students, and no one should ever feel ashamed of this. But, just like J.K.

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Heartbeat

DECEMBER 14, 2023

Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach. Hinton is viewed as a leading figure in the deep learning community.

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Flipboard

AUGUST 7, 2023

In a recent exercise at MIT, it took just one hour for ChatGPT to instruct non-scientist students about four potential pandemic pathogens, including options for how they could be acquired by anyone lacking the skills to create them in the lab, and how to avoid detection by obtaining genetic material from providers who do not screen orders.

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Flipboard

JULY 31, 2023

Egyptian Hieroglyphics Finally, for researchers or enthusiasts in the field of historical linguistics or Egyptology, the Egyptian Hieroglyphics dataset presents a unique opportunity with its collection of 3890 images. This unique dataset could be used for various academic and research purposes. edges, corners, or color histograms).

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TheSequence

NOVEMBER 8, 2023

My original plan was to go to medical school to become a physician-scientist working on translational research in cancer and stem cell biology. As I pursued my PhD in experimental and computational cancer research at Cambridge in the UK, I became more and more fascinated with technology and startups beyond biotech.

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Flipboard

AUGUST 1, 2023

Indeed, the US government’s record to date on AI has mostly involved vague calls for “continued United States leadership in artificial intelligence research and development” or “adoption of artificial intelligence technologies in the Federal Government,” which is fine, but not exactly concrete policy. Principles, rather than programming.

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Unite.AI

AUGUST 8, 2023

These algorithms take input data, such as a text or an image, and pair it with a target output, like a word translation or medical diagnosis. A prime example is the Generative Adversarial Network (GAN), where two neural networks, the generator, and the discriminator, compete and learn from each other in a unique teacher-student relationship.

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