TTM 2016

The only way to discover the limits of the possible is to go beyond them into the impossible. –Arthur C. Clarke (Author)


View videos from TTM 2016!


Download the IEEE TTM 2016 flyer (PDF, 2 MB)


The IEEE Technology Time Machine (TTM) 2016 is the fourth organized Symposium on future technologies with sessions on big data, cybersecurity, the Internet of Things, the cloud, the brain, and rebooting computing, as well as a presentation on women’s roles in making the future.

TTM is an event organized by the IEEE Future Directions Committee (FDC), where the FDC is an incubator for emerging technologies.





Women Making the Future: Making the Future through Innovation and Passion

Moderated by Dr. Alicia Abella of AT&T, this panel comprises a dynamic set of women who are pioneers and innovators in their fields, which include extensive experience in semiconductor software, wireless power, transportation, and software engineering. The panel’s diversity will provide unique and varied perspectives based on their industries, roles, and career background. Their lively discussion will reveal their vision of advances expected in technology in the next 30 years and how to capitalize on and evolve with these innovations.

The Future of Technical Content

Historically, technical content was developed with a specific objective/audience (e.g. a technical journal article or technical standard). With the many changes in how information is disseminated and used, this straightline approach needs to be reconsidered. What is presented is a new paradigm for how technical content will be developed and delivered to the public in the future.

Rebooting Computing: What is the Future of Computing Beyond Moore’s Law?

Exponential scaling of integrated circuits has been sustained for over 50 years, resulting in predictable advances in computing capabilities, following roadmaps established by its industry. By all accounts, the fundamental considerations driving this growth will sunset in the near future. While one outlook considers a future where such progress has saturated – just like Mach 1 became a limit for commercial aviation – IEEE’s Rebooting Computing initiative argues otherwise. Data does continue to grow exponentially and “computing engines” need to match this growth. Creative solutions should sustain exponential growth and enable continued acceleration in these engines. This view is shared by our panel of experts in this session. They represent academic institutions, industrial system providers, and an expert who has led the road mapping of the underlying technology for many decades. They will share with us their view of the future and of the breadth of solutions which can sustain exponential growth in this industry.

Internet of Things (IoT): Expected and Foreseen Deployment and Impacts of the IoT in 5-20 Years

A panel of experts in the Internet of Things (IoT) discusses the expected reality of IoT deployment in the next five-to-ten years and presents their foresight on the world with IoT in 20 years’ time. The IoT paradigm will be completely embedded in our daily lives in the next 5-10 years, covering scenarios in home and office and throughout most economic sectors like manufacturing and agriculture. In the next 10 years, distributed and collaborative intelligence will be embedded into a vast array of objects; these things will be able to autonomously take actions: cars that can drive themselves; cameras that can record suspicious events and alert users. More things will inter-work, thus being able to ‘know’ humans and environments; for example, the autonomous driving car not only can drive itself so as not to collide with other cars but also can consider traffic conditions and take a proper route to minimize travel time. The potential exists for exposure of formerly private personal behaviors, loss of privacy or trade secrets, and vulnerability to cyber-disruptions. Security and privacy related to design of smart objects needs to be considered at the front end of design and will require an infrastructure focused on interoperability and plug-and-play. The cross-fertilization of security or privacy with sensing and autonomous actions is the grandest of challenges for IoT going forward.

Big Data: Considering the Future of Big Data and Analytics Given the Expected Increase in Size and Source of the Data

The Big Data session includes a diverse panel from industry and academia expert in the areas of IoT, wearables, healthcare, telecom, cloud computing, and computer analytics. The panelists will look toward the next few decades and how big data will continue to be gathered, filtered, and analyzed to provide competitive advantage, support decision making, and provide value while addressing the associated security and privacy issues. The panel brings a wide and varied perspective that will address how ubiquitous and pervasive big data will be and how current techniques for analysis will need to be even more discerning in order to evaluate the large data sets expected.

Cybersecurity: Building Technologies, Processes, and Competencies Required for Reliable Cybersecurity

A panel of experts in cybersecurity will discuss what is required in the future such that the reliance and assurance on underlying systems reflect a higher confidence that the systems are free from manipulation and compromise. Some of the questions addressed will be: How will automation impact cybersecurity? What processes need to be automated and what technologies need to be built to do this effectively? How do the current skills and staffing shortages in cybersecurity impact the industry’s future? What competencies need to be developed to address these challenges? What will the impacts of machine learning and artificial intelligence be on cybersecurity? How will this impact the APIs and algorithms we rely upon today? What needs to happen with encryption in a quad computing world? When we will need to rethink and retool our current approaches to data protection?

Brain: The Future of Brain-machine Interfaces: From Technological Challenges to Philosophical Consequences

Reading brain activity in order to develop communication interfaces with machines is moving from science fiction to reality. Brain machine interfaces (BMIs) are being developed which can decode mental imagery, map semantics and context, recognize intent for control of prosthetics and provide new therapeutic treatments for disease and disability. What does the future hold for BMIs? There are many technology challenges in developing such BMI systems and making them a practical reality. In addition, there are practical and philosophical consequences that such BMIs have, ranging form providing us with a better understanding of how our brains work, both in health and disease, to what in fact is the underlying circuity that makes us “human”. In this session we will look toward the next few decades to discuss the technology challenges for BMIs as well as their consequences for human health, productivity and the morale and ethical considerations needed for mainstream adoption.

Tech Superstars on Making the Future: Tech Superstars Discuss Future Widespread Impacts from Innovations in Technology

What do you get when you combine experts in the water industry, communications and networks, data center operations, and engineering ethics? The Tech Superstar Panel, featuring an animated discussion by renowned authorities about expectations and applications of future technologies. The panel will use their vast experience to predict how the future will look based on extensive changes in technology expected in the next 30 years.



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