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- Physics - Data Science - Postgraduate Adjunct Lecturer at Pan-Atlantic University, on data science and NLP - 9 Published Papers on African NLP - 3 Papers under review - Research paper reviewer at top conferences - Founded Tonative, a community that curates African Language Datasets for AI models.

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OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!
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OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

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Artificial Intelligence (#AI) models that process and interpret visual data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️
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Artificial Intelligence (#AI) models that process and interpret visual data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️

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Data for Policy 2024 call for contributions has launched! Be part of the global conversation on trustworthy governance *with* AI - Full papers benefit from integrated review in dataandpolicy - Deadline 27 Nov All info #dataforpolicy2024
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Data for Policy 2024 call for contributions has launched! Be part of the global conversation on trustworthy governance *with* AI - Full papers benefit from integrated review in dataandpolicy - Deadline 27 Nov All info #dataforpolicy2024

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AI needs data to grow. But accessing high-quality datasets is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.
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AI needs data to grow. But accessing high-quality datasets is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.

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Write your thesis and academic research papers with the Publeesh App. Publeesh AI continuously searches for research funding, conferences, travel grants, and journal publication opportunities for your work, even while you sleep.
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Write your thesis and academic research papers with the Publeesh App. Publeesh AI continuously searches for research funding, conferences, travel grants, and journal publication opportunities for your work, even while you sleep.

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Let your wearable data "speak" for itself! Introducing SensorLM, a family of sensor-language foundation models trained on ~60 million hours of data, enabling robust wearable data understanding with natural language. →
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Well well well, that lunatic man screeching “Nazi” at us when I was with Turning Point UK 🇬🇧 at Sussex University is: Christian Hogsbjerg Senior Lecturer, School of Humanities and Social Science University of Brighton
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Since COVID, I recorded a ton of introductory lectures on data science, and data cleaning/visualization on Excel and R on Youtube. Finally managed to curate the most useful ones for beginners/newcomers and put them up on my website:
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😍⚠️And it’s out in J Cell Science!! Our review on the opportunities and challenges of using Machine Learning in Microscopy research 🤖🔬! From using ML to curate data to using ML to give us more KNOWLEDGE about our data (i.e. Interpretation 😉) DOI: (1/n) ⬇️

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Absolutely incredible data collection intercept on a violent tornado near Saint Liberty, NE. Near surface data collection with collocated radar and lidar observations. #newx #science

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AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.
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AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.

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Decabyte

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