A Quote by Louise Labe

Ne reprenez, dame, si j'ai aime , Si j'ai senti mille torches ardentes, Mille travaux, mille douleurs mordantes, Si, en pleurant, j'ai mon temps consume . Do not blame me, madam, if I loved, If I felt one thousand burning torches, One thousand labours, or one thousand scathing pains, If, in crying, I spent all my time.
J'ai plus de souvenirs que si j'avais mille ans. IhavemorememoriesthanifIwereonethousandyearsold.
Ni muer ni viu ni no guaris, Ni mal no·m sent e si l’ai gran, Quar de s’amor no suy devis, Ni no sai si ja n’aurai ni quan, Qu’en lieys es tota le mercés Que·m pot sorzer o decazer.” “Not dying nor living nor healing, there is no pain in my sickness, for I am not kept from her love. I don’t know if I will ever have it, for all the mercy that makes me flourish or decay is in her power.
Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.
Google or other search engines are examples of AI, and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.
Quid est ergo tempus? Si nemo ex me quaerat, scio; si quaerenti explicare velim, nescio. What, then, is time? I know well enough what it is, provided that nobodyasksme; but if Iamasked what it is and try to explain, I am baffled.
Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.
I am looking into quite a few ideas in parallel and exploring new AI businesses that I can build. One thing that excites me is finding ways to support the global AI community so that people everywhere can access the knowledge and tools that they need to make AI transformations.
...Je n’ai pas cessé de l’être si c’est d’être jeune que d’aimer toujours !... L’humanité n’est pas un vain mot. Notre vie est faite d’amour, et ne plus aimer c’est ne plus vivre." (I have never ceased to be young, if being young is always loving... Humanity is not a vain word. Our life is made of love, and to love no longer is to live no longer.)
Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.
I believe in the future of AI changing the world. The question is, who is changing AI? It is really important to bring diverse groups of students and future leaders into the development of AI.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
Guess, if you can, and choose, if you dare. [Lat., Devine, si tu peux, et choisis, si tu l'oses.]
There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.
I will continue my work to shepherd in this important societal change... In addition to working on AI myself, I will also explore new ways to support all of you in the global AI community so that we can all work together to bring this AI-powered society to fruition.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.
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