Trends Identified
Asteroid mining
Exploatation of non-terrestrial resources has been predicated for quite some time. However tools and hardware have been developed notably in the USA (both by NASA and private companies) to characterise and identify appropriate Near Earth Objects (NEOs) to eventually dock with them and exploit their resources. Asteroid mining is also linked to the protection of Earth from geocruisers and thus to the detection and tracking of such dangerous space objects.
2015
Preparing the Commission for future opportunities - Foresight network fiches 2030
European Strategy and Policy Analysis System (ESPAS)
Asteroid Mining
Example of Organizationsactive in the area: Deep Space Industries (US), Planetary Resources (US), Made in Space (US).
2018
Table of disruptive technologies
Imperial College London
Assistive robot suit
Once the disabled or the elderly to wear a robot suit which is similar to the body frame, the suit can detect neuronal signal from the muscle and operate. The suit allows the user to move freely and move heavy objects as it gives more strength. With the same principle, the suit enables the elderly or the disabled to expand their work environment at production spots and work.
2013
KISTEP 10 Emerging Technologies 2013
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Assisted transportation
While the vision of fully autonomous, self-driving vehicles might still be a few years away, increasingly automated assistance is taking place in both personal and municipal (dedicated) vehicles. Assisted transportation is already very useful in terms of wide recognition and is paving the way for fully autonomous vehicles. This technology is highly dependent on deep learning accelerators (see #1) for video recognition.
2018
IEEE Computer Society Predicts the Future of Tech: Top 10 Technology Trends for 2019
IEEE Computer Society
Asset Intelligence
Bring your value chain to life using signals, not just sensors IT models of business operations have long relied on software abstractions and data approximations, with decisions derived from information systems running within corporate data centers. Other company assets, such as finished goods, equipment, materials, plants, and even many employees, were disconnected or passive participants. Until now.
2010
Depth perception A dozen technology trends shaping business and IT in 2010
Deloitte
Assessing the global landscape
Our annual survey of CEOs continues to note high levels of global business confidence, both in the short and medium term – an upward trend we have charted in four of the past five years. As figure 1.1 indicates, the outlook for revenue growth continues to be strong over the next year, the CEOs say, with 52% ‘very confident’ and 40% ‘somewhat confident’. Overall, confidence levels have nearly doubled since 2001.
2007
10th Annual global CEO Survey
PWC
Asian economies are booming, with a growing services sector and rising incomes
Asia’s population and economy is booming, including the major emerging economies in South-East Asia. Asia’s share of global GDP grew from 23.2% in 1990 to 38.8% in 2014 and it is predicted to continue ascending to nearly 45% by 202582.
2017
Surfing the digital tsunami
Australia, Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Artificial intelligence/cognitive computing
Smart software systems
2016
Disruptive technologies barometer
KPMG
Artificial Intelligence Security Technology
[Definition] Technology for AI-level security system which discovers weak points or blocks attacks through automatic collection and analysis of data, or for monitoring of AI itself. [Application] Applies AI technology in responds to risks of unfair use or malfunctioning of AI and accident prevention, detecting security risks.
2018
KISTEP 10 Emerging Technologies 2018
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Artificial intelligence and machine learning
Progress in AI has accelerated rapidly since around 2010, driven by the confluence of the growing availability of large data sets from commerce, social media, science and other sources; continued improvements in computational power; and the development of better machine learning algorithms and techniques (such as “deep learning”). Systems are now capable of learning how to accomplish a task without having been provided with explicit steps for doing so. Once designed and deployed, the neural network that underpins modern AI can formulate its own rules for interpreting new data and designing solutions, with minimal— or no— human participation.
2018
World Economic And Social Survey 2018: Frontier Technologies For Sustainable Development
United Nations