Advances in Nuclear Fusion

10

October

2021

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“Nuclear fusion is the process by which two light atomic nuclei combine to form a single heavier one while releasing massive amounts of energy. Fusion reactions take place in a state of matter called plasma — a hot, charged gas made of positive ions and free-moving electrons that has unique properties distinct from solids, liquids and gases.” (What Is Fusion, and Why Is It So Difficult to Achieve? | IAEA, n.d.)

There are currently at least three main approaches to making controlled nuclear fusion possible on earth. These are magnetic confinement fusion (MCF), inertial confinement fusion (ICF), and the newer magnetised target fusion (MTF). The MCF method is performed by containing hot plasma through the use of powerful magnetic fields. During ICF a small pellet containing fusion fuel is compressed to extremely high densities by a strong laser or particle beam. MTF may be described as a combination of MCF and ICF approaches. This newer technology makes use of a magnetic field to confine plasma with compressional heating provided by lasers, electromagnetic or mechanical liner implosion. This process results in shorter required confinement times and lesser required compression velocities, thereby reducing the requirement to stabilize plasma for extended periods of time. The bottom line is that this approach should allow for less expensive processes, making it a lower-cost alternative compared to existing approaches. It brings the world one step closer to an affordable and unlimited supply of clean energy.

This new MTF approach will soon be used in a demonstration plant in the UK. The project will be financed by a private Canadian nuclear fusion power company with a 400 million dollar investment. This is many times less expensive than the 22 billion dollar ITER project. ITER is a nuclear fusion megaproject in the south of France, funded by their 7 member nations. If any of these approaches work they would signify a huge breakthrough for the scientific world as well as the global economy. 

References:

Brigham, K. (2021, October 1). The race is on to replicate the power of the sun with fusion energy. CNBC. https://www.cnbc.com/2021/10/01/the-22-billion-iter-megaproject-aims-to-make-nuclear-fusion-a-reality.html

Corbley -, B. A. (2021, October 1). Canadian Startup to Build $400M UK Plant to Harness Nuclear Fusion in Entirely New Cost-Effective Way. Good News Network. https://www.goodnewsnetwork.org/canadian-fusion-energy-startup-to-build-400m-demonstration-plant/

Sati, A. (2021, October 9). Breakthrough in fusion energy: Is abundant low carbon energy within reach? ORF. https://www.orfonline.org/expert-speak/breakthrough-in-fusion-energy-is-abundant-low-carbon-energy-within-reach/

What is Fusion, and Why Is It So Difficult to Achieve? | IAEA. (n.d.). Iaea.Org. Retrieved October 10, 2021, from https://www.iaea.org/fusion-energy/what-is-fusion-and-why-is-it-so-difficult-to-achieve

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Societal Risks of AI

10

October

2021

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Biden’s chief science adviser, Eric Lander, and the deputy director for science and society, Alondra Nelson have published an article regarding the societal risks of artificial intelligence (AI). They emphasize on the fact that AI may be prone to bias, allowing them to discriminate and create dangerous situations. Examples given by them are AI programs with the tasks of detecting illnesses or judging credit worthiness. Programs may have been fed faulty information, causing them to over generalize. They may for example not account for differences between African Americans and other population groups. This could cause the program to underestimate the severity of a disease, thereby endangering the patient. The second example regarding credit worthiness could also be caused by over generalizing populations. If certain population groups average a lower credit worthiness, the AI may assume all people of this population group will be likely to have lower credit worthiness. Although it would be statistically correct, this could still lead to discrimination and unfair treatment. It is important for AI powered systems to respect the shared values of equality and fairness. 

Another risk introduced by AI is its ability to recognize and analyze attributes such as faces, voices, and physical movement. These systems could be used for privacy violating facial recognition, but also as tools to help alter the emotional state of people. Current AI seems to be able to detect emotional states such as fatigue or depression. It is important for lawmakers to be mindful of the potential dangers AI introduces and to act accordingly. Eric Lander and Alondra Nelson believe the government should pledge not to purchase any systems that allow for violation of people’s basic rights. This doesn’t mean they are against the use of AI systems. They acknowledge the AI’s potential to improve processes and strengthen economic growth. It is certainly exciting to see what the future AI have in store for us.

References:

O’Brien, M. (2021, October 8). White House proposes tech “bill of rights” to limit AI harms. Techxplore.Com. https://techxplore.com/news/2021-10-white-house-tech-bill-rights.html

Lander, E., & Nelson, A. (2021, October 8). Americans Need a Bill of Rights for an AI-Powered World. Wired. https://www.wired.com/story/opinion-bill-of-rights-artificial-intelligence/

Winkler, R. (2021, September 21). Apple Is Working on iPhone Features to Help Detect Depression, Cognitive Decline. WSJ. https://www.wsj.com/articles/apple-wants-iphones-to-help-detect-depression-cognitive-decline-sources-say-11632216601

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