Happy new year 2020! Below are the tweets about AI we have collected this month.
In The Batch's new year edition, @ylecun @katecrawford @kaifulee @animaanandkumar @etzioni @chelseabfinn @RichardSocher @dawnsongtweets, Dave Patterson & Zhi-Hua Zhou share their hopes for AI in 2020. Check it out (and subscribe if you haven't yet!): https://t.co/4ITeoacobl
— Andrew Ng (@AndrewYNg) January 1, 2020
— VentureBeat (@VentureBeat) January 2, 2020
"Ethical review [for #AI in #healthcare] cannot be a one-off, tick-box exercise and must be repeated regularly in a consistent way."—@jessRmorley @Floridi @Turinghttps://www.thelancet.com/journals/lancet/article/PIIS0140-6736(19)32975-7/fulltext @TheLancet @oiioxford @UniofOxford pic.twitter.com/dkOXqSpePs
— Eric Topol (@EricTopol) January 23, 2020
Workera recently published a report on AI career pathways. It doesn't mention hardware. I also don't see the difference b/w SWE-ML & ML Engineer. But it highlights some important distinctions.
— Chip Huyen (@chipro) January 10, 2020
— Suzana Ilić (@suzatweet) January 28, 2020
A study of how AI technologies impact the UN Sustainable Development Goals finds that it could enable the accomplishment of 134 targets across these goals, but it may also inhibit 59 targets – https://t.co/Ya3cKFw7hf pic.twitter.com/Uv7mFOZi56
— Nature Machine Intelligence (@NatMachIntell) January 22, 2020
What GPT-2 accidentally reveals about nature, nurture, and the challenge of building intelligence.
Prelude to a longer piece on how to best advance AI over the next decade 😊 https://t.co/qSbhx6Nj3R
— Gary Marcus (@GaryMarcus) January 25, 2020
Check out Meena, a new state-of-the-art open-domain conversational agent, released along with a new evaluation metric, the Sensibleness and Specificity Average, which captures basic, but important attributes for normal conversation. Learn more below! https://t.co/QxMVstg3qQ
— Google AI (@GoogleAI) January 28, 2020
— DeepMind (@DeepMind) January 28, 2020
By restructuring math expressions as a language, Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems. https://t.co/gmtbQicEz3 pic.twitter.com/IL2H8ygDYC
— Facebook AI (@facebookai) January 14, 2020
We're releasing mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages. It gives significant improvements for document-level translation and low-resource languages. Read our paper to learn more: https://t.co/SjAunFuujZ pic.twitter.com/tJbRcOTqik
— Facebook AI (@facebookai) January 24, 2020
In a collaboration with universities in France and Taiwan, Facebook AI is releasing Polygames, a new open source framework that enables researchers to train AI systems through self-play in a wide range of strategy games. https://t.co/6UTGTjVwwP pic.twitter.com/830R89Cbnz
— Facebook AI (@facebookai) January 29, 2020
Introducing the Big Bad Database. Helping NLP and ML developers gain access to nearly 200 datasets for natural language processing. Read about it on @towards_AI.#NLProc #AI #ArtificialIntelligence #Datasets #DeepLearning https://t.co/UTMsl9w3C8
— Quantum Stat (@Quantum_Stat) January 15, 2020
We're excited to introduce our latest open source software, CausalNex – designed to help data scientists infer causation, rather than just observing correlation. https://t.co/3AZs2vdOZ5
— QuantumBlack (@quantumblack) January 28, 2020
How robust is your model against adversarial attacks? We recently released Advbox, a toolbox to generate adversarial examples that fool neural networks across DL frameworks and benchmark the robustness of ML models.
— Baidu Research (@BaiduResearch) January 23, 2020