Snorkel AI

APRIL 18, 2023

Prasanna Balaprakash, research and development lead from Argonne National Laboratory gave a presentation entitled “Extracting the Impact of Climate Change from Scientific Literature using Snorkel-Enabled NLP” at Snorkel AI’s Future of Data-Centric AI Workshop in August, 2022. And Yan Feng, who is an environmental scientist.

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Ehud Reiter

MARCH 25, 2024

Anyways, a few weeks ago we had a workshop where computer scientists, clinicians, patients, and other interested parties discussed related topics, including some work of one of my students, Mengzuan Sun, is doing on using chatGPT (GPT4) to explain complex medical notes to patients ( blog ). Contact me if interested!

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Pickl AI

DECEMBER 26, 2024

For example, quantum-enhanced Machine Learning could lead to breakthroughs in Natural Language Processing (NLP), enabling systems to understand context better and generate more nuanced responses. Quantum algorithms can exploit superposition and entanglement to capture these complex correlations more efficiently.

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TheSequence

NOVEMBER 29, 2023

I was a computer science major at Harvard College and focused on AI and NLP. Who is your favorite mathematician or computer scientist, and why? Quick bio Tell us a bit about yourself: Your background, current role, and how you got started in artificial intelligence and venture capital.

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Marktechpost

AUGUST 24, 2023

You will never miss any updates on ML/AI/CV/NLP fields because it is posted on a daily basis and highly moderated to avoid any spam. r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. This contains a lot of posts about AI.

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Pickl AI

OCTOBER 2, 2024

Natural Language Processing (NLP) NLP techniques are employed to analyse textual data from scientific literature or clinical notes related to genomics. By extracting relevant information from unstructured text, NLP can aid in variant interpretation and clinical decision-making.

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Pragnakalp

JANUARY 3, 2024

Q: What is the most important skill for a computer scientist? The post Retrieval Augmented Generation (RAG) Tutorial Using Mistral AI And Langchain appeared first on Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development.

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Viso.ai

MARCH 26, 2024

Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. This computer scientist and technology entrepreneur has extensively researched AI and machine learning’s impact on finance. Face detection for sentiment analysis with computer vision No.

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TheSequence

DECEMBER 13, 2023

Quick bio Lewis Tunstall is a Machine Learning Engineer in the research team at Hugging Face and is the co-author of the bestseller “NLP with Transformers” book. Who is your favorite mathematician and computer scientist, and why? If I wasn’t so busy playing with LLMs, I would likely be working in this field.

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TheSequence

SEPTEMBER 11, 2024

Bio: Lewis Tunstall is a Machine Learning Engineer in the research team at Hugging Face and is the co-author of the bestseller “NLP with Transformers” book. Who is your favorite mathematician and computer scientist, and why? It will be exciting to see how far this can be pushed into other domains!

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Pickl AI

APRIL 19, 2023

Machine Learning Engineer Job Opportunities You will find several Machine Learning Engineer Job Opportunities in India for different roles that will help you understand that with ML skills you can acquire the following roles: Machine Learning Engineer Data Scientist Data Engineer Data Analyst Software Developer/Engineer Human-Centred Machine Learning (..)

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Pickl AI

OCTOBER 9, 2024

Small Language Models (SLMs) are a subset of AI models specifically tailored for Natural Language Processing (NLP) tasks. This compact architecture allows SLMs to operate efficiently on less computational power while still maintaining robust linguistic capabilities. What Are Small Language Models (SLMs)?

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Viso.ai

OCTOBER 17, 2024

John Hopfield is a physicist with contributions to machine learning and AI, Geoffrey Hinton, often considered the godfather of AI, is the computer scientist whom we can thank for the current advancements in AI. Both John Hopfield and Geoffrey Hinton conducted foundational research on artificial neural networks (ANNs).

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Applied Data Science

MARCH 11, 2022

Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come. The Society of Mind consisted of 270 essays divided into 30 chapters.

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Topbots

MARCH 2, 2023

However, I think the more exciting discovery is explained by Daphne Koller, computer scientist, MacArthur Genius, and CEO of early-stage biomedicine company Insitro. This use of synthetic data as training data has many uses, including to make users anonymous. We’ll let you know when we release more summary articles like this one.

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Snorkel AI

OCTOBER 31, 2023

Computer scientists and legal experts came together to assemble 162 evaluation tasks. HyenaDNA is a foundation model pre-trained on the human reference genome that can examine DNA sequences at up to 500x the context length of existing genomic FMs using dense attention.

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Artificial Corner

JUNE 6, 2023

Codd, a computer scientist at IBM, developed the concept of the relational database. Natural Language Processing (NLP) techniques can be applied to analyze and understand unstructured text data. Computer Vision algorithms can be employed for image recognition and analysis. Around the same time, Edgar F.

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Dlabs.ai

APRIL 8, 2021

Because you guessed it: computer-generated poetry is here. Computer scientists trained an algorithm using over half a million lines from more than one hundred contemporary British poets. Learn about more real-world NLP applications: check this Dlabs article. These days, there’s no need to limit your choice to people.

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Viso.ai

DECEMBER 21, 2023

Andrej Karpathy: Tesla’s Renowned Computer Scientist Andrej Karpathy, holding a Ph.D. His doctoral thesis studied the design of convolutional/recurrent neural networks and their applications across computer vision, natural language processing, and their intersections.

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