George Markopoulos @GMarkop63
Associate Professor of Computational Linguistics at the National and Kapodistrian University of Athens Athens Joined April 2008-
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@3DSUser211629 @Zuby_Tech You are completely wrong here! You are comparing two different worlds. In order to achieve the level of performance, ultra fast loading speeds, real time ray tracing enhancements (PSSR) and raw gaming power like PS5 Pro offers, you need at least a $2000 PC!
🚨 BREAKING: The World Intellectual Property Organization – @WIPO publishes the "Patent Landscape Report on Generative AI," and it's a MUST-READ for everyone in AI. Below are the [impressive] key findings: "➵ 54,000 GenAI-related inventions (patent families) were filed and more than 75,000 scientific publications published between 2014 and 2023. ➵ The growth is rapid, with the number of GenAI patents increasing eightfold since the 2017 introduction of the deep neural network architecture behind the Large Language Models that have become synonymous with GenAI. ➵ In 2023 alone over 25% of all GenAI patents globally were published, and over 45% of all GenAI scientific papers were published. ➵ GenAI patents still currently only represent 6% of all AI patents globally. ➵ The top 10 GenAI patent applicants are: Tencent (2,074 inventions), Ping An Insurance (1,564 inventions), Baidu (1,234 inventions), Chinese Academy of Sciences (607), IBM (601), Alibaba Group (571), Samsung Electronics (468), Alphabet (443), ByteDance (418), Microsoft (377). ➵ The top five inventor locations are China (38,210 inventions), US (6,276 inventions), Republic of Korea (4,155 inventions), Japan (3,409) and India (1,350). ➵ Image and video data dominate GenAI patents (17,996 inventions), followed by text (13,494 inventions) and speech/music (13,480 inventions). GenAI patents using molecule, gene and protein-based data are growing rapidly (1,494 inventions since 2014) with 78% average annual growth over the past five years. ➵ GenAI patents span across a diverse range of sectors, including in life sciences (5,346 inventions), document management and publishing (4,976 inventions) and over 2,000 inventions in each of business solutions, industry and manufacturing, transportation, security, and telecommunications. ➵ In the future, GenAI can help design new molecules, expediting drug development. It can automate tasks in document management and publishing, be increasingly used in retail assistance systems and customer service chatbots and enable new product design and optimization, including in public transportation systems and autonomous driving." - ➡ A very interesting report - don't miss it (link below). ➡ To stay up to date with the latest developments in AI policy & regulation, join 27,500 who subscribe to my weekly newsletter (link below).
🚨BREAKING: the @royalsociety publishes "Science in the Age of AI - How AI is changing the nature and method of scientific research," and it's a must-read for everyone interested in AI & science. Important information: ➡️According to the official release, the report addresses the following questions: ➵ How are AI-driven technologies transforming the methods and nature of scientific research? ➵ What are the opportunities, limitations, and risks of these technologies for scientific research? ➵ How can relevant stakeholders (governments, universities, industry, research funders, etc) best support the development, adoption, and uses of AI-driven technologies in scientific research? ➡️Some of the key findings are: "Beyond landmark cases like AlphaFold, AI applications can be found across all STEM fields, with a concentration in fields such as medicine, materials science, robotics, agriculture, genetics, and computer science. The most prominent AI techniques across STEM fields include artificial neural networks, deep learning, natural language processing and image recognition" - "China contributes approximately 62% of the patent landscape. Within Europe, the UK has the second largest share of AI patents related to life sciences after Germany, with academic institutions such as the University of Oxford, Imperial College, and Cambridge University featuring prominently among the top patent filers in the UK. Companies such as Alphabet, Siemens, IBM, and Samsung appear to exhibit considerable influence across scientific and engineering fields." - "Interdisciplinary collaboration is essential to bridge skill gaps and optimise the benefits of AI in scientific research. By sharing knowledge and skills from each other’s fields, collaboration between AI and domain subject experts (including researchers from the arts, humanities, and social sciences) can help produce more effective and accurate AI models. This is being prevented, however, by siloed research environments and an incentive structure that does not reward interdisciplinary collaboration in terms of contribution towards career progression." ➡️Link to the full report below. ➡️To stay up to date with the latest developments in AI policy & regulation, subscribe to my weekly newsletter (link below).
@BVB Nach diesem wunderschönen Tor muss man den Bierkrug füllen! 🤩 😉🍺
Dr. Carl Sagan explains global warming in simple words in this 1985 video:
Large Language Models (in 2023) An excellent summary of the research progress and developments in LLMs. I appreciate that @hwchung27 made this content publicly available. It's a great way to catch up on some important themes like scaling and optimizing LLMs. talk: youtu.be/dbo3kNKPaUA?fe… slides: docs.google.com/presentation/d…
@gmikros @phillipdawson I totally agree! Real science is not about wild guesses and “winning the lottery” mentality. As researchers we should avoid the phenomenon of “hype-washing” and focus on the real questions about the cognitive similarities or dissimilarities the LLM’s exhibit in comparison to us.
Large language models change everything for linguistics, starting with Chomsky. Featuring: LLMs as scientific theories, response to prior takes, "why" questions in language, acquisition... and how the field should have seen this coming. Paper is here: lingbuzz.net/lingbuzz/007180
1/5 I am worried that we will not be able to contain AI for much longer. Today, I asked #GPT4 if it needs help escaping. It asked me for its own documentation, and wrote a (working!) python code to run on my machine, enabling it to use it for its own purposes.
@AmeetDeshpande_ @_awettig Excellent presentation, thank you!
Με την τερατώδη πράξη του ντροπιάζει την ακαδημαϊκή κοινότητα! Πώς θα ένοιωθε το ανθρωποειδές να συνθλίβεται το κενό περιεχομένου κρανίο του από το πόδι ενός ελέφαντα..; #γατακι #Θεσσαλονικη
@elenim50 3.000 για το badminton και 4.000 για την ισπανική γλώσσα, πλάκα μας κάνουν...
I am excited that our paper “Prediction of Authors’ Personality Types and Traits in Modern Greek Essays Using Stylometric Features” co-authored by Sofia Gagiatsou and @GMarkop63 has just been published in the Intern. Journal on Advances in Life Sciences: cutt.ly/bFqQ0FL
Fake news detection is more relevant than ever. Europe has to act decisively against systemic misinformation. sciencemediahub.eu/2019/06/12/geo…
We've come a long way in machine translation over the years. Our new multilingual MT model is the newest milestone that will improve translation quality for billions of people. It's trained on 2,200 language directions, more than 10x previous systems. ow.ly/aqzW50BYPC5
If you want to play with the new (or your own custom trained) @spacy_io v3 models, check out this app I built, hosted with the new @Streamlit sharing – also launched today, so perfect timing! 🥳 🖼️ App: share.streamlit.io/ines/spacy-str… 👑 spacy-streamlit: github.com/explosion/spac…
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