Is Modern Technology leading us to construction or destruction?

How can we define technology?

According to wiki “Technology is the collection of techniques, skills, methods, and processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation”.

First, the evolution of technology is beneficial to humans for several reasons. At the medical level, technology can help treat more sick people and consequently save many lives and combat very harmful viruses and bacteria.

The invention of the computer was a very important point. Communication is thus enhanced, and companies can communicate more easily with foreign countries. Research is also simplified.

We see now a day technology is everywhere epically in Artificial Intelligence

According to NASA they have many advancements in all fields of life like:

Self-driving tractors

The story starts with GPS, which was still new in the 1990s when John Deere started using it for precision agriculture. The company wanted to go a step further and create a system to guide tractors autonomously. The challenge was that uncorrected GPS could be off by up to 30 feet due to data errors, drift in the GPS satellites’ internal clocks and other factors

Texts from plants

Thirsty plants can send text messages in order to “ask” for more water. NASA-supported research resulted in a leaf sensor that can monitor plants with electrical pulses, letting anyone from astronauts to farmers measure plant water levels directly.

Space technology often finds another purpose here on Earth. In many cases, people don’t realize some of what they use daily was influenced by NASA. One industry at a time, the agency will share how NASA is everywhere.

Machine Learning Technology Crisis

Machine-learning techniques used by thousands of scientists to analyses data are producing results that are misleading and often completely wrong.

According to BBC report “Dr Genevera Allen from Rice University in Houston said that the increased use of such systems was contributing to a “crisis in science”.

She warned scientists that if they didn’t improve their techniques, they would be wasting both time and money. Her research was presented at the American Association for the Advancement of Science in Washington.

A growing amount of scientific research involves using machine learning software to analyses data that has already been collected. This happens across many subject areas ranging from biomedical research to astronomy. The data sets are very large and expensive”.

Conclusion:

Question is that

“Are those really true discoveries that really represent science?

 Are they reproducible?

If we had an additional dataset would we see the same scientific discovery or principle on the same dataset?

 And unfortunately, the answer is often probably not.”

Finally, as most technological discoveries aim to reduce human effort, it would imply that more work is done by machines. This equates to less work for people: the human is becoming ever so obsolete by the day, as processes become automated and jobs are made redundant.

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