Nearly 30 years ago, MIT Professor Peter Shor developed his eponymous algorithm by which future quantum computers could break public key cryptography systems such as RSA security. While Shor’s Algorithm is still in the realm of theory, current research is highlighting the need to consider this security threat and prepare for a future when machines will be capable of what Professor Shor predicted three decades ago. But how far away is that reality?
Add to calendarAmerica/New_YorkQuantum's Impact on Security - A Conversation with MIT CSAIL and MIT CQE10/02/2023
Nearly 30 years ago, MIT Professor Peter Shor developed his eponymous algorithm by which future quantum computers could break public key cryptography systems such as RSA security. While Shor’s Algorithm is still in the realm of theory, current research is highlighting the need to consider this security threat and prepare for a future when machines will be capable of what Professor Shor predicted three decades ago. But how far away is that reality? And how can companies ensure they’re ready for what’s to come?
On October 2, hear from MIT experts what the current field of quantum computing research looks like, its impact on security, and how the work happening today might impact society in the future. Moderated by CSAIL Director Professor Daniela Rus, Professor Shor will join a panel with the Director of the Center for Quantum Engineering at MIT, Professor William Oliver, and cryptography expert Professor Vinod Vaikuntanathan to explore how quantum will break RSA security, new cryptography measures that could fill the cybersecurity gap, and how those solutions will stand up to the quantum computers of tomorrow.
In person space is limited, please register early.
Add to calendarAmerica/New_YorkArtificial Intelligence: Implications for Business Strategy10/04/2023
Seven week online course offered through GetSmarter with certification through MIT Sloan Executive Education
This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.
Human-computer interaction (HCI) is a dynamic discipline incorporating more than just user-interface (UX) design. Professionals committed to improving the way we work with computers and other machines need to stay informed on the blisteringly fast evolution of the field. Eight experts from MIT CSAIL have dedicated their research to exploring how HCI progresses and now they’re opening that research up to you.
Add to calendarAmerica/New_YorkHuman-Computer Interaction for User Experience Design10/04/2023
Human-computer interaction (HCI) is a dynamic discipline incorporating more than just user-interface (UX) design. Professionals committed to improving the way we work with computers and other machines need to stay informed on the blisteringly fast evolution of the field. Eight experts from MIT CSAIL have dedicated their research to exploring how HCI progresses and now they’re opening that research up to you.
In this course, you have the opportunity to learn about and understand their research work and envision your own future in the field of HCI and user experience. You’ll reflect on non-traditional interaction, speech recognition, rapid prototyping, and other uncannily forward-thinking innovations from MIT. Take your understanding beyond interface by integrating experimental HCI into your work, all backed by the research of expert MIT faculty and verified with a certificate from MIT xPRO.
Machine learning (the science of programming computer systems to learn from data), offers an opportunity to gain a powerful competitive edge in the business market, and is increasingly becoming a priority for managers and executives.
In this online course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
Add to calendarAmerica/New_YorkMachine Learning in Business10/04/2023
Machine learning (the science of programming computer systems to learn from data), offers an opportunity to gain a powerful competitive edge in the business market, and is increasingly becoming a priority for managers and executives.
In this online course from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation.
This course focuses on the managerial implications of machine learning, while touching on certain technical aspects, in order to provide you with the deeper knowledge needed to craft an effective machine learning integration strategy.
