WEF2020 topics: AI & Emerging technologies
50th Davos forum will be dominated by the impact produced by Emerging technologies. The rating of these technologies is to be announced at our Em-Tech meeting at #Davos20.
These are the groups of technologies our top-expert panel considers to dominate:
- AI.
All AI techologies are in great demand, and Strong AI, first of all.
Experts expect enthusiasm in AI to be tempered in 2021 but expects the next AI paradigm unlocking commercial opportunities (e.g. the new deep learning) to be available in 2023–2027.
In 2020, AI-driven Cyber protection will be the most demanded technology.
Strong AI is sought after to be occur in 2029, according to Ray Kurzweil.
First approach is made by Ben Goertzel.
“To reach general intelligence, you need AI agents capable of highly abstract representation and abstract reasoning and learning, and you need to connect these with other AI agents which are doing more concrete data processing and taking specific actions for specific customers. Once you have the abstraction and generalisation areas of AI, you can connect them to the more concrete percept, action, and analytics areas. This network of AIs can self-organize into a sort of meta-AI and then you can get an emergent general intelligence.” https://aibusiness.com/artificial-general-intelligence-ben-goertzel/
Another approach is made by Keras inventor Chollet.
https://www.zdnet.com/article/keras-creator-chollets-new-direction-for-ai-a-q-a/
2. Next generation life sciences
Gene editing and genetic engineering.
Modification of the human genome through CRISPR
synthetic biology to produce biofuels, biochemicals, bioelectrics, and synthetic medications.
Advancements in bioinformatics and computational biology
3. Smart cities and energy infrastructure
By 2025, 85 percent of the population will live in cities and urbanization will continue to accelerate worldwide. So, the great demand will occur for:
smart waste management,
route optimization software,
intelligent public transport systems,
wireless networks,
connected energy-efficient grid automation and integration,
advanced lithium-ion battery technology
electric vehicles,
smart cities,
3D manufacturing.
4.Multi-modal mobility
Autonomous driving can alleviate this inefficiency and reduce transportation costs.
personal short-distance aviation are critical to the development of smart cities and will shape the way that people move within and between the cities of the future.
5. 5G and advanced networks
Technologies such as autonomous vehicles, the Internet of Things, augmented reality, and remote surgery will benefit from 5G.
6. Quantum computing
7. Robotics and human labor convergence
Tim O’Reilly sees a human-computer symbiosis bigger than AI.
David Autor, who describes “superstar” companies that are gobbling up a disproportionate share of global wealth, companies such as Google and Facebook and Amazon.
“If you look at all those companies that are superstars, they are infused with AI,” says O’Reilly. “It’s because they are in some sense digitally native.” O’Reilly takes a reporter’s iPad Pro, takes the Apple Pencil, and draws a sketch of the “ladder of AI.” At the top of the latter, the kind of ultimate stage, is the “infusion” of AI into a company’s operations, a term Thomas uses. “What I like about this ideas is, at the top of any company that is a superstar is a certain kind of machine intelligence that’s operating at an autonomous level,” he says.
https://www.zdnet.com/article/futurist-tim-oreilly-sees-a-human-computer-symbiosis-bigger-than-ai/
- AI assistants
- AI-based medical diagnosis
- Autonomous payments
- Bionic organs
- Conversational agents
https://blog.aimultiple.com/future-of-ai/
8. VR/AR
9. EdTech
10. Blockchain and Exponential technologies
Ray Kurzweil came up with this idea called, “the law of accelerating returns.” He explains it better than I ever could:
An analysis of the history of technology shows that technological change is exponential, contrary to the common-sense “intuitive linear” view. So we won’t experience 100 years of progress in the 21st century — it will be more like 20,000 years of progress (at today’s rate). The “returns,” such as chip speed and cost-effectiveness, also increase exponentially. There’s even exponential growth in the rate of exponential growth. Within a few decades, machine intelligence will surpass human intelligence, leading to The Singularity — technological change so rapid and profound it represents a rupture in the fabric of human history. The implications include the merger of biological and nonbiological intelligence, immortal software-based humans, and ultra-high levels of intelligence that expand outward in the universe at the speed of light.
A lot of people misunderstand Kurzweil and merely assume that he bases the law of accelerating returns on Moore’s law.
Moore’s law is the observation that the number of transistors in a dense integrated circuit doubles approximately every two years. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and Intel, whose 1965 paper described a doubling every year in the number of components per integrated circuit, and projected this rate of growth would continue for at least another decade.
Ai 9000 is the technology for further enhancement of chips capacity. https://www.okthatsawesome.com/exponential-growth-artificial-intelligence-and-the-future.html
