New to the academic collection:
- Bishop, M.A., (2019). Computer Security : Art and Science,2nd ed. Boston: Addison-Wesley.
- Kroese, D.P., Zdravko, I., et al., (2020). Data science and machine learning : mathematical and statistical methods. Boca Raton: CRC Press.
- Theodoridis, S., (2020). Machine Learning: A Bayesian and Optimization Perspective. London; San Diego: Elsevier: Academic Press.
- Bertsekas, D. P., (2019). Reinforcement Learning and Optimal Control. Belmont, Massachusetts: Athena Scientific.
- Wang, A., Zettl, A., (2019). Ordinary Differential Operators. Providence, Rhode Island: American Mathematical Society.
- Lynch, K., M., (2017). Modern Robotics, Mechanics, Planning and Control. Cambridge, UK: Cambridge University Press.
- Houman, S., Pouyan, M. (2020). Essentials of AI techniques: with a Focus on Medicine and Healthcare without Math or Coding. San Berdardino, CA: Pouyan Mohajerani, Houman Sotoudeh.
New to the popular science collection:
- Gribbin, J., (2010). Six Impossible Things: the ‘Quanta of Solace’ and the Mysteries of the Subatomic World. London: Icon Books Ltd.
- Steven, H., (2020). Infinite Powers: How Calculus Reveals the Secrets of the Universe. New York: Houghton Mifflin Harcourt.
- Harari, Y., (2017). Homo Deus: A Brief History of Tomorrow. London: Vintage.
- Higginbotham, A., (2019). Midnight in Chernobyl : The Untold Story of the World’s Greatest Nuclear Disaster. London: Bantman Press, an imprint of Transworld Publishers.
- Chown, M., (2020). The Magicians: Great Minds and the Central Miracle of Science. London: Faber & Faber.
- Rosemary, S., Matteuci, R., (2019). The Robots are Here: Learning to Live with Them. Buckingham: The Buckingham Press.
- Wiseman, R., (2015). 59 Seconds: Think a Little, Change a Lot. London: Pan Books.