Fatimata Diakhite

[Les Echos START @EchosStart]

🤖 IA générative : les 8 mots à connaître pour briller en société 👉 https://t.co/n3KFxqFWLM

[Disiz Yyov @DisizYyov]

1. L'IA générative expliquée

Apprend à :

• Définir l'IA générative et expliquer son fonctionnement
• Décrire diverses applications d'IA générative
• Expliquer les défis et les opportunités de l'IA générative

https://t.co/yfRxRDR8sV

[andrew gao @itsandrewgao]

Transformers animated, in 30 seconds.

From @3blue1brown

[Andrew Ng @AndrewYNg]

New Agentic AI short course! AI Agentic Design Patterns with AutoGen, taught by @MSFTResearch's @Chi_Wang_ and @penn_state's @qingyun_wu, shows you how to use AutoGen to implement agentic design patterns like multi-agent collaboration, sequential and nested chat, reflection, tool use, and planning. Learn how to build and combine multiple specialized agents – such as researchers, planners, coders, writers, and critics – that interact to execute complex workflows, like generating detailed financial reports, that would otherwise have taken extensive manual effort.

This course illustrates key agentic design principles with many fun demonstrations. For example, you'll build a conversational chess game using two player agents, each of which can use a tool to validate moves and update the board state, while engaging in lively banter about the game!

I've enjoyed using AutoGen, and think you will too. Sign up to get started here: https://t.co/C0tsLuilMf

[Luiza Jarovsky, PhD @LuizaJarovsky]

🚨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"

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"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."

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"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).

[Elon Musk @elonmusk]

Join xAI if you believe in our mission of understanding the universe, which requires maximally rigorous pursuit of the truth, without regard to popularity or political correctness

[David Ross @DavidPBLRoss]

Teachers can receive free access to Khanmingo, the ChatGPT-powered tutoring system from @KhanAcademy. Learning objective tool is a killer app. https://t.co/TKxIY1GrJW #edtech #GenAI @isteofficial @cosn @iteea @asugsvsummit @ascd @neatoday @aftunion @oecd_edu @ccsso @microsoft

[VivaTech @VivaTech]

Attendee: Do you fear AI taking over your job?
Elon Musk: Probably none of us will have a job...

@elonmusk's vision on employment in the age of AI, at #VivaTech 🚀

What's your take? 🤔

[fabienne billat @fadouce]

#META : À partir du 26 juin, vos données issues de ces plateformes pourront être utilisées pour entraîner ses intelligences artificielles
Comment le refuser #Facebook et #Instagram ? https://t.co/kp4fTgGJlT

[Gilles Babinet @babgi]

IA et Emploi : ce papier de Daron Acemoglu, l'un des plus grands économistes vivants, récuse ce que je n'ai eu de cesse de dénoncer : les marchands de peur, les média en mal de trafic, les influenceurs en mal d'influence, les cabinets de stratégie... qui racontent à peu près n'importe quoi pour avoir l'attention de leurs publics. Ce que disent les travaux académiques –que l'on n'écoute malheureusement que peu– c'est la productivité pourrait ne croitre que marginalement dans un premier temps et qu'en conséquence (i) cela ne menace pas l'emploi (ii) cela s'organise (iii) cela n'est pas nécessairement un facteur de renforcement des inégalités (iv) c'est néanmoins de nature à changer la nature de nos économies. A mettre toutefois en regard avec d'autres travaux académiques qui sont plus optimistes sur la création de productivité. @dr_l_alexandre

https://t.co/kHReO6FBOr

[Jonathan Chan  💡📣 @ChanPerco]

🔴 Live Event à suivre !

J'organise un webinar qui va résumer le meilleur de #Vivatech : le plus grand #salon et des #startups en Europe.

⏲️ Vendredi 30 mai à 12H

Une présentation qui sera intéressante et ludique.

S'inscrire 👉 https://t.co/NVgIWIsYta

#Vivatech2024

[fabienne billat @fadouce]

#OpenAI a introduit GPT-4o, sous la forme d'un assistant personnel numérique capable d'interagir à l'aide de texte et de visuels 🤖

Les performances de GPT-4 lors de vérification humaine d'il y a un an - à des fins comparatives https://t.co/JaumnZohYA