David Martinez

Instructor at MIT on Artificial Intelligence System Engineering. Laboratory Fellow specialized in AI, high performance computing, and digital transformation

[David Martinez @AISysEng]

100+ Handpicked AI And Machine Learning Blogs & Communities
Worth a look to follow some of the best and most informative contributors in ML, and in some instances data conditioning https://t.co/P4v9yIU94c

[David Martinez @AISysEng]

European Commission has published a proposal for a regulation on a European approach for AI. Lengthy report but it emphasizes the need to identify AI system capabilities trustworthiness relative to risk https://t.co/AHMPDhkcoB

[David Martinez @AISysEng]

Interesting article on Machine Learning Technical Debt. As pointed out, ML code is a small element of the full system development and deployment https://t.co/sL5LUE0g2P

[David Martinez @AISysEng]

MIT report on the future of work is worth a read. Very well done https://t.co/ch2zTCTuaE

[David Martinez @AISysEng]

7 Observations About AI In 2019 via @forbes https://t.co/EI29uT9EK5

Worth a read. A very good summary of the state of AI/ML

[David Martinez @AISysEng]

Top 12 AI Ethics Research Papers Introduced In 2019 | TOPBOTS. We are starting to see more papers addressing the important topic of Ethics in AI https://t.co/mhcyDR4SDY

[David Martinez @AISysEng]

Worth a look at NeurIPS highlights https://t.co/pH74gFmmEK

[David Martinez @AISysEng]

Former Go champion beaten by DeepMind retires after declaring AI invincible - The Verge. Thanks to our class TA Christos for sharing https://t.co/W2lyi5nZM0

[David Martinez @AISysEng]

“Who Is Going To Make Money In AI? Part I” by @sgreenman
https://t.co/cwEH7JtxMB. Good article on dominant players for value chain for AI

[David Martinez @AISysEng]

How to Rehearse for an Important Presentation. Very important to keep in mind. Effective communication is an important hallmark in leadership https://t.co/T8dSmTJfOf

[David Martinez @AISysEng]

Do Your Data Scientists Know the ‘Why’ Behind Their Work? The discussion in this HBR is very relevant to our class on Engineering Leadership in the Age of AI https://t.co/fIwROkvUQs

[David Martinez @AISysEng]

Misty II Robotics in production https://t.co/6Uk6gY6sLW

[David Martinez @AISysEng]

Advanced Topics in Deep Convolutional Neural Networks. This is worth a read since it addresses several types of CNNs and the saliency maps tool we covered in class https://t.co/pcXCOAbPXk

[David Martinez @AISysEng]

Interesting article https://t.co/Lgd1zXuazt

[David Martinez @AISysEng]

Advanced Topics in Deep Convolutional Neural Networks | TOPBOTS

Excellent article summarizing different CNN approaches https://t.co/pcXCOAbPXk

[David Martinez @AISysEng]

“CNN Architectures: LeNet, AlexNet, VGG, GoogLeNet, ResNet and more” by @Siddhar12030001
https://t.co/BzJUkyrTmB

[David Martinez @AISysEng]

AI canonical architecture and cybersecurity examples - David Martinez (MIT Lincoln Laboratory) - The Artificial Intelligence Conference - San Francisco 2018 [Video] https://t.co/yKkl9e9h90

[David Martinez @AISysEng]

Building the AI-Powered Organization. This article complements well our Strategy Development Business Model discussed in our Engineering Leadership in the Age of AI class on the topic of Organizational Structure https://t.co/E8IbLmTV1u

[David Martinez @AISysEng]

Human infants are the best learners in the universe. How do they do it? And could we get an AI to do the same? https://t.co/AmpJi2I3Sm

[David Martinez @AISysEng]

Article is relevant to our MIT 6.S976 class where students will be addressing a challenge problem presented by Misty Robotics to help aging population in need to stay in their own homes where they are most comfortable https://t.co/cDfwlJFAKZ