![[Review] Rebooting AI: Building Artificial Intelligence We Can Trust (Gary Marcus) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2662129/c1a-085k3-8ddwwgrkbqz9-vyxn64.jpg)
Show Notes
Rebooting AI: Building Artificial Intelligence We Can Trust (Gary Marcus)
- Amazon USA Store: https://www.amazon.com/dp/052556604X?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Rebooting-AI%3A-Building-Artificial-Intelligence-We-Can-Trust-Gary-Marcus.html
- Apple Books: https://books.apple.com/us/audiobook/rebooting-ai-building-artificial-intelligence-we-can/id1477137868?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Rebooting+AI+Building+Artificial+Intelligence+We+Can+Trust+Gary+Marcus+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/052556604X/
#NarrowAIbenchmarks #Deeplearninglimitations #Commonsenseknowledge #NeurosymbolicAI #Causalreasoning #RebootingAI
Rebooting AI: Building Artificial Intelligence We Can Trust is a 2019 nonfiction assessment of artificial intelligence by cognitive scientist Gary Marcus and computer scientist Ernest Davis. Written for informed general readers as well as journalists and decision-makers, it challenges the assumption that recent successes in deep learning amount to progress toward broadly intelligent machines. The authors acknowledge important advances in image recognition, speech processing, game playing, and other narrowly defined tasks. Their concern is that such systems often depend on extensive data, fixed conditions, and statistical regularities rather than genuine understanding. The book therefore distinguishes impressive task performance from common sense, flexible reasoning, and dependable action in an open-ended world. Its central proposal is not to discard machine learning, but to combine its strengths with approaches that represent knowledge explicitly and support reasoning. Rebooting AI is consequently both a critique of technological hype and a research agenda for systems that could be used more safely in consequential settings such as transport, health care, and domestic assistance.
- Amazon USA Store: https://www.amazon.com/dp/052556604X?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Rebooting-AI%3A-Building-Artificial-Intelligence-We-Can-Trust-Gary-Marcus.html
- Apple Books: https://books.apple.com/us/audiobook/rebooting-ai-building-artificial-intelligence-we-can/id1477137868?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Rebooting+AI+Building+Artificial+Intelligence+We+Can+Trust+Gary+Marcus+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/052556604X/
#NarrowAIbenchmarks #Deeplearninglimitations #Commonsenseknowledge #NeurosymbolicAI #Causalreasoning #RebootingAI
Rebooting AI: Building Artificial Intelligence We Can Trust is a 2019 nonfiction assessment of artificial intelligence by cognitive scientist Gary Marcus and computer scientist Ernest Davis. Written for informed general readers as well as journalists and decision-makers, it challenges the assumption that recent successes in deep learning amount to progress toward broadly intelligent machines. The authors acknowledge important advances in image recognition, speech processing, game playing, and other narrowly defined tasks. Their concern is that such systems often depend on extensive data, fixed conditions, and statistical regularities rather than genuine understanding. The book therefore distinguishes impressive task performance from common sense, flexible reasoning, and dependable action in an open-ended world. Its central proposal is not to discard machine learning, but to combine its strengths with approaches that represent knowledge explicitly and support reasoning. Rebooting AI is consequently both a critique of technological hype and a research agenda for systems that could be used more safely in consequential settings such as transport, health care, and domestic assistance.
