23 Octobre 2018 AI can’t replace doctors. But it can make them better. A machine can collate environmental data, genetic data, and patient history way better than I can.
18 Octobre 2018 How your life’s data means a version of you could live forever. Your family and friends will be able to interact with a digital “you” that doles out advice—even when you’re gone
10 Octobre 2018 The voice revolution has only just begun. Today, Alexa is a humble servant. Very soon, she could be much more — a teacher, a therapist, a confidant, an informant.
Septembre 2018 Toward Anthropomorphic Machine Learning Plamen P. Angelov and Xiaowei Gu, Lancaster University – Future intelligent machines will be more human-friendly and human-like, while offering much higher throughput and automation, thus augmenting our (human) capabilities. Anthropomorphic machine learning is an emerging direction for future development in artificial intelligence (AI) and data science. This revolutionary shift offers human-like abilities to the next generation of machine learning with greater potential for underpinning breakthroughs in technology development as well as in various aspects of everyday life.
Best known publications
by Najah Naffah
Juillet 2018 Blockchain Salvation Environmental professionals need to be part of an ongoing conversation with the software developers and other stakeholders that will shape the social contract affecting bitcoin’s and other applications’ environmental costs and benefits
Ethereum’s “Difficulty Bomb” Delays
25 Octobre 2018 Ethereum’s “Difficulty Bomb” Delays – Ethereum’s next hard fork, dubbed Constantinople, will be postponed until early 2019. Constantinople is designed to smooth the transition from a Proof-of-Work (PoW) consensus algorithm to PoS. It’s rather important.
26 juin 2018 NIST Big Data Interoperability Framework – To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework (NBDIF) series of volumes.
Juillet 2018 Cybertrust in the IoT Age – Will our smart devices betray us? Can we trust our smart beds, pet feeders, and watches to maintain the level of privacy we want and expect? As the numbers of devices coming online reach staggering levels, serious questions must be raised about the level of cybertrust we can reasonably expect to have in our modern lifestyle.