In early May, 2018, multiple news outlets have covered a scientific community outcry over the creation of a new closed-access journal in the domain of machine learning, recently launched by Nature journal as a topical area imprint. Science. The journal is managed and supported by a panel of experts in the fields of Artificial Intelligence, Machine learning, Robotics, Bio-informatics, Wireless Communications and other advanced computing technologies from around the world. 2018 Impact Factor: 17.73. 4 THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE ROLE OF THE FUNDAMENTAL ANALYST Although the case for AI may seem solid, a number of arguments can be made against it. 2018 Impact Factor: 13.241 ... Top journals as determined by Thomson Reuters Journal Impact Factor 2018 Rankings. 2018 Impact Factor: 43.070. Nano Letters: 181: 257: 3. Machine learning (ML) is the most growing field of computer science, driven by the ongoing explosion in the availability of data [Jordan, M. I. The impact factor (IF) 2018 of Progress in Artificial Intelligence is 3.08, which is computed in 2019 as per it's definition.Progress in Artificial Intelligence IF is increased by a factor of 1.2 and approximate percentage change is 63.83% when compared to preceding year 2017, which shows a rising trend. & Mitchell, T. M. 2015. Advanced Materials: 190: 262: 2. IEEE Transactions on Pattern Analysis and Machine Intelligence. In a statement signed by over 2,500 supporters, Nature Machine Intelligence journal, a […] Nature. IEEE Industrial Electronics Magazine. The nature of AI today The first and, arguably, the greatest challenge to the expectation of AI replacing fundamental stock pickers today is inherent in the very nature of AI. Nature Machine Intelligence, Nature Metabolism and Nature Reviews Physics will be online-only, subscription-based journals that will open for submissions in 2018, with their first issues published in January 2019. ACS Nano: 170: 255: 4. Publication h5-index h5-median; 1. Nature Materials: 162: 259: 5.