Most advanced technologies in the past Decade

The ten-year period in human history may be just a moment, but we have seen many technological innovations in the last decade. Looking back ten years ago, the gadgets, software, and technology that were sweeping at the time are now even antiques that have made their mark in the history of technology.

Therefore, we will look back on each of the technologies that have made remarkable progress in the last 10 years.

Digital photography:

Ten years ago, digital cameras were the mainstream of photography, and film cameras were still active. At that time, high-end digital SLR cameras such as the Nikon D90 and Canon EOS 5D Mark II were popular.

However, with the introduction of the iPhone 4 in 2010 , other smartphones began to focus on cameras in earnest, and the market share of point-and-shoot cameras began to be eaten.

The best cameras are those that release the shutter at the moment when you want to record an important moment or a memory of that moment. Consumers who are now able to take high-quality photos with their smartphones no longer bother to carry their cameras with them .

At the moment, the technical level of expensive and professional digital cameras is higher than that of smartphones, but I think the difference is narrowing. The biggest selling point of the latest iPhone 11 Pro was the photography function.

Digital Technology:

In 2010, we announced the iPhone 4 with a Retina display that is inherited by the current iPhone. Pixel resolution, unrecognizable to the human eye, shocked and soon followed rival smartphones.

Making the brightest parts of the screen shine like the sun and the darkest parts like shadows was the ultimate goal of a company developing LCD displays. OLED (organic light emitting diode) screens can produce bright and colorful pixels without the need for backlights like LEDs or fluorescent lights.

OLED displays are thin, consume less power, and can produce stunning contrast images. Early OLED screens were so expensive that they could only be used on small screens, but over the last decade, affordable consumer products such as MP3 players, fitness trackers, and smartphones have benefited from this technology. It came to be.

And in the next decade, OLED displays have gained features that will revolutionize the shape of gadgets. It’s ” folding “. In the last year, foldable smartphones from Samsung, Huawei, Motorola, etc. have made their debut. It is now available to the general public. There are still technical barriers to overcome, but I’m looking forward to it in the future.


The biometric security features of mobile devices are now included in every device. Seamlessness, which completes authentication by simply touching the fingerprint reader or glancing at the device, is convenient, reliable, and quickly spread. Security is becoming more and more robust without your knowledge.

But ten years ago, that wasn’t the case. Biometric technology is used by organizations such as the FBI and the Department of Homeland Security to create a database of suspect features from digital scans of fingerprints, irises, palms, and faces for instant retrieval and matching. Was developed in.

Most consumers weren’t dissatisfied with password security management, but that changed in 2013 when the iPhone 5S introduced a fingerprint authentication feature called Touch ID . The process of instantly authenticating a user with a fingerprint using secure hardware and the powerful processor of the iPhone was a breakthrough.

Fingerprint authentication is faster than entering a PIN or password, and you don’t even have to remember your password once you have your fingerprint on your device. However, humans leave fingerprints on almost everything they touch. Fingerprints can be reproduced using digital fingerprint photographs and woodworking glue.

Voice Recognition:

Speech recognition and input software like Dragon Natural Speaking makes transcribing easier. Simply dictate an email, message, or note and all words and commands will be processed, understood, and executed automatically. As of 2010, speech recognition had already evolved considerably, but was limited to specific apps.

With the debut of the Siri Voice Assistant on the iPhone 4S in 2011, voice recognition technology has begun to spread to the general public. Siri at the time wasn’t perfect (even now), and Apple took the time to carefully roll out this feature globally. Amazon debuted the Alexa voice assistant in late 2014, and Google introduced its own voice assistant in mid-2016. Speech recognition has improved and has become more familiar to people’s lives.

Google’s smart assistant, which has a large-scale cloud server and indexes the vast Internet, has evolved significantly through daily demonstrations. Its capabilities exceed Siri. Voice recognition has rapidly spread to multiple devices such as mobile devices and home appliances as well as smart speakers, and as a powerful tool for smart homes, many IoT devices can be easily operated by voice. And now we’re at the point of transcribing and translating natural conversations in real time, such as Google’s real-time interpreting mode.

It is also a technology developed with numerous trade-offs. Software like Dragon Natural Speaking, which runs entirely on a local computer, existed before the Internet became commonplace. On the other hand, the voice assistant we are using now shares what we say on servers around the world.

It’s safe to say that millions of households around the world are welcoming unprotected eavesdropping equipment to their homes. Amazon and Google claim that there is no concern about privacy leaks.

AI (artificial intelligence):

Ten years ago, AI was an ambiguous concept for most people. AI is one of the science fiction ideas that have existed for decades, rebuilding the capabilities of the human brain through silicon, microchips, and processors … robots and autonomous driving. This is an important step towards a future where cars will become the norm. It may have been recognized that way, but in reality, it was an image of a mysterious technology being quietly developed in government, think tanks, and university laboratories.

But now AI is no longer an ambiguous concept. In the last few years, self-driving cars have been running in big cities across the country. It automatically navigates crowded highways, finds parking lots, and decides parallel parking, which humans are not good at, in one shot.

The evolution of AI over the last decade has been spectacular, but behind the innovation was the misfortune of a Uber self-driving car fatal accident. Social implementation of technology to cause the innovation should be cautious, the voice of that there is no need to issue in a hurry from the field of research and development.

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