Hacker News

MARCH 4, 2024

Despite this, even the most resourceful organizations continue to develop embedded software in C/C++. This paper performs the first systematic study to holistically understand the current state and challenges of using RUST for embedded systems. Our study is organized across three research questions.

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Towards AI

APRIL 25, 2024

We are also close to releasing a few amazing resources and need your help in the poll to know what you want to learn more about. Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI.

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Data Science Dojo

APRIL 11, 2023

Whether you’re looking for your daily tech fix or researching your next tech purchase, these channels have got you covered. Overall, the Data Science Dojo YouTube channel is a great resource for anyone looking to learn more about data science, regardless of their level of expertise. Link for the channel – Data Science Dojo 4.

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Dataconomy

FEBRUARY 21, 2024

Built upon the foundational research powering Google’s impressive Gemini models , Google Gemma AI is part of the company’s ongoing commitment to open-source AI development. Gemma 2B makes these scenarios possible by delivering powerful AI capabilities within the constraints of resource-limited hardware.

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Dataconomy

JUNE 27, 2023

If there’s one constant in the modern business world, it’s research. No matter your niche, it’s imperative to conduct data research online. Online data research is more impactful than traditional research thanks to its ease of access, efficiency, and cost efficiency. What is online data research?

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NYU Center for Data Science

DECEMBER 1, 2023

The quest to refine AI’s understanding of extensive textual data has recently been advanced due to two recent papers by CDS PhD student Jason Phang , who is the first author of two recent NLP papers that secured “best paper” accolades at ICML 2023 and EMNLP 2023.

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ML @ CMU

MARCH 30, 2023

We observe that explanations do not in fact help with concrete applications such as fraud detection and paper matching for peer review. Towards bridging this gap, our group has since completed two collaborative projects where we worked with domain experts in e-commerce fraud detection and paper matching for peer review.

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KDnuggets

SEPTEMBER 11, 2019

How one person overcame rejections applying to Data Scientist positions by getting actual data on who is getting hired; Advice from Andrew Ng on building ML career and reading research papers; 10 Great Python resources for Data Scientists; Python Libraries for Interpretable ML,

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Dataconomy

DECEMBER 27, 2023

However, the research team released a demo website where you can experience some of its features: [link] Here, you can find pre-generated video samples showcasing different styles and functionalities. Remember, VideoPoet is still under research, and its accessibility and features might change in the future.

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Data Science Dojo

NOVEMBER 10, 2023

Providing personalized learning resources In addition to answering your questions, ChatGPT can also provide you with personalized learning resources based on your specific interests and skill level.

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Dataconomy

JULY 4, 2023

Whether you’re a researcher poring over voluminous scientific papers or a student attempting to sift through heaps of academic publications, Humata AI is here to transform your experience. The first, a tool for summarizing lengthy academic papers, can distill intricate information into digestible content.

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Towards AI

MAY 9, 2024

Now, for this week’s issue, thanks to the combined efforts of the community, we have some new research and collaborations for you and a meme that is either funny or existential! Read the paper here and support a fellow community member. Edoardo022 is working on an open-source research paper. Our must-read articles 1.

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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. To inform these conversations, observational research — without intervention — is the necessary foundation.

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Dataconomy

FEBRUARY 14, 2024

By comparing the efficiency and output quality of Quantum Boltzmann Machines with those of conventional generative models, the research sheds light on the quantum method’s unique advantages, such as its ability to generate complex and diverse images with higher fidelity than ever before.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. You can use the below resources for creating your data.

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AWS Machine Learning Blog

APRIL 29, 2024

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. or reach out to our team.

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NYU Center for Data Science

NOVEMBER 21, 2023

CDS PhD Student Chris Ick Unveils Groundbreaking Research in Sound Localization Using Simulated Data The ability to precisely identify the location of a sound using audio alone is a skill humans have honed over millions of years. A significant hurdle in this research is the requirement of vast amounts of labeled data. “To

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Flipboard

DECEMBER 14, 2023

Many people trying to get mental health care do so without any of the institutional, social, or financial resources I had. This doesn’t necessarily mean that AI is useless as a mental health resource. Stade added that, from a research perspective, experts don’t really know what it is that people feel is working for them in this case.

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ODSC - Open Data Science

JANUARY 25, 2024

Researchers from the University of Washington and the Allen Institute for AI have set a new precedent in the work of fine-tuning LLMs. Traditionally, large language models like GPT and BERT have required extensive resources for fine-tuning to meet specific needs or to enhance their performance.

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Towards AI

FEBRUARY 22, 2024

I also present a new dataset that can be used to finetune models for the ReAct format presented by the original paper (Yao et al., Then in late 2022, a team of researchers from Princeton University and Google Research published a paper called ReAct: Synergizing Reasoning and Acting in Language Models.

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Towards AI

JULY 20, 2023

paper fe1ixxu/Gradual-Finetune Gradually fine-tuning in a multi-step process can yield substantial further gains and can be applied without modifying… github.com Connected Papers ? In this repo you can find the data and scripts… github.com Connected Papers ? From research to projects and ideas. Example Where is it?

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Data Science Connect

JULY 22, 2023

The tweet also contained a link to a detailed technical paper, outlining the underlying architecture and algorithms used in the train AI bot. The scientific community has already begun poring over the paper, eager to understand the intricacies of Musk’s creation.

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Towards AI

AUGUST 22, 2023

Google consolidated its AI efforts by merging Google Brain and Deepmind earlier this year and has also been rapidly scaling up its training compute resources. The paper concludes that human-guided technology remains instrumental in the development of socially responsible AI.

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group.

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Mlearning.ai

AUGUST 7, 2023

Enterprises, research and development teams shared GPU clusters for this purpose. Usually, there is a resource manager and scheduler (e.g., The authors of [1] propose a resource-sensitive scheduler for shared GPU cluster. On the other hand, language model like GNMT remains unaffected by receiving more resources.

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Towards AI

AUGUST 24, 2023

Trying to learn AI from research papers. Avoid trying to learn AI from research papers Research papers are not a good resource for learning a topic. Keep in mind that the results of AI research articles are for the most part, irreproducible. Trying to code ML algorithms from scratch.

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Data Science Blog

APRIL 4, 2023

“The name of the game, fundamentally, is advancement, power and support,” says Justin Leigh, a tech writer at Research papers UK and Writinity. AI enhances all aspects of data management, boosting query accuracy of databases, improving performance, and saving on resources. AI provides more security.

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NYU Center for Data Science

APRIL 12, 2023

A tool developed by a team of researchers including CDS Joint Faculty Claudio Silva is expanding pedestrian infrastructure CDS Joint Faculty, Claudio Silva While cities are increasingly promoting pedestrian-accessible spaces, walkers are often left to figure out routes without reliable information on hand. By Meryl Phair

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Flipboard

JANUARY 3, 2024

One of PNNL’s research priorities is to identify and combat complex threats to national security , and AI can help meet that priority by detecting attempts to acquire nuclear weapons or associated technology. but also has researchers working in Seattle and Sequim in Washington state, plus Portland, Ore.,

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Dataconomy

MARCH 6, 2024

The reduced resource requirements of 1-bit LLMs could enable AI applications on a wider range of devices, even those with limited memory or computational power. cleverly uses components similar to the open-source LLaMA model for easy integration ( Image credit ) See the detailed formula on Microsoft’s 1-Bit LLM research paper.

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Towards AI

JULY 21, 2023

Paper: [link] GitHub: sacmehta/delight This repository contains the source code of our work on building efficient sequence models: DeFINE (ICLR'20) and… github.com NLP Beyond English Sebastian Ruder opines on the state of NLP and specifically, how our limitations with low resource languages are a much bigger problem we should be focusing on.

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Mlearning.ai

APRIL 8, 2023

As language technologies continue to advance, the need for large text corpuses in under-resourced languages has increased. Our corpus is a significant step towards addressing this need for Azerbaijani language, and we hope that it will inspire others to undertake similar initiatives for other under-resourced languages.

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Hacker News

JUNE 9, 2023

The 90-second movie was created using stop-motion techniques, as flat characters, props, and backgrounds were drawn on an easel or made from paper. Their groundbreaking research, conducted at the University of Utah , in Salt Lake City, and at their company, Evans and Sutherland , helped jump-start the computer graphics industry.

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Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Use academic journals, research papers, and online resources from renowned institutions like MIT and Stanford to stay updated on the latest advancements in AI.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Recently, Meta released Llama 2 for both researchers and commercial entities, adding to the list of other LLMs, including MosaicML MPT and Falcon. For more resources on using Trainium for distributed pre-training and fine-tuning your generative AI models using NeMo Megatron, refer to AWS Neuron Reference for NeMo Megatron.

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Dataconomy

DECEMBER 4, 2023

Students often grapple with the challenge of creating well-researched, articulate essays within tight deadlines. Lunchbreak AI is a state-of-the-art tool that utilizes advanced artificial intelligence to assist students in researching and writing essays.

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Hacker News

MAY 12, 2023

Morris Tanenbaum Silicon microchip inventor Fellow, 94; died 26 February Tanenbaum’s research in the mid-1950s proved that silicon was a better semiconductor material for transistors than germanium, which was commonly used at the time. as a researcher in its chemical physics department.

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