Since it is a new technology, it is not understood, and if it is not that great, it is often disillusioned and plateaued, but Deep Tech is still attracting attention with generative AI and continues to evolve. In this article, we will focus on what Deep Tech is in the first place. If you are a person who says, “There is no deep or shallow technology,” this is a must-see.
What is Deep Tech?
Venture capitalists and engineers call deep tech an emerging technology that has passed the R&D stage in a short period of 5 to 10 years, is one step away from expanding in scale, but has not yet reached the general availability level. To that extent, it’s what marketing parlances call “between early adopters and early majorities,” or the valley of disillusionment in Gartner’s Hype cycle.
Deep Tech is both potentially disruptive and advances in more common high-tech solutions. Deep Tech, by definition, is a technology that we hope will be underestimated in the early days. But the one who seizes the opportunity at the right time almost always becomes the winner. If you grab it too quickly, you could end up like Yahoo or Friendster. If it’s too late, it will be like Bing or app.net. But if the timing is right, it will be Google or Facebook. In business, timing is so important that it is said that “timing first, timing second, and timing third”, so it is necessary to determine the timing of the introduction of deep tech and enter it at the appropriate time.
Next, I would like to introduce what exactly Deep Tech has.
AI
AI (Artificial Intelligence) is an abbreviation for artificial intelligence. Artificial intelligence refers to technology that allows computers and other machines to think and learn like humans. Artificial intelligence is applied in various fields such as natural language processing, image recognition, and robot technology.
Blockchain
A blockchain is a type of decentralized database. Blockchain is a technology that prevents cross-verification and unauthorized tampering of data by storing data distributed across multiple nodes (such as computers and servers).
In blockchain, data is managed in units called “blocks”. Each block is connected to its relationship to the previous block using a hash value. This makes it difficult for data on the blockchain to be directly modified.
Blockchain was first used as a cryptocurrency, Bitcoin, but in recent years, it has been adopted not only in the financial industry, but also in various fields such as government, healthcare, and manufacturing.
XR
XR stands for Extended Reality. XR refers to a fusion of the real and virtual worlds. There are three categories of XR:
- Virtual Reality: Refers to what creates a virtual space and enters it to experience it. VR can be experienced using special equipment such as head-mounted displays and data gloves.
- Augmented reality: Refers to the superposition of virtual objects and information on the real world. AR can be experienced using popular devices such as smartphones and tablets.
- Mixed Reality: A fusion of VR and AR. MR makes virtual objects appear to blend into the real world.
XR is used in various fields such as games, entertainment, education, medicine, and architecture.
Iot
IoT (Internet of Things) refers to various devices and objects connected via the Internet. IoT aims to make life and business smarter and more efficient by collecting data and operating devices remotely.
There are various devices that make up IoT, such as temperature sensors, cameras, and smart speakers. These devices are connected to the Internet using Wi-Fi, Bluetooth, etc. Collecting data and being operated remotely provides a variety of applications and services.
IoT has been rapidly spreading in recent years and is widely used in homes, offices, factories, etc.
Autonomous driving
Autonomous driving refers to technology that allows a vehicle to drive on its own without the need for human control. In order to realize autonomous driving, vehicles need a system equipped with cameras, laser sensors, GPS, etc., to grasp the surrounding situation and automatically control it.
Autonomous driving has the following stages:
- Level 1: Vehicles that are primarily operated by humans and vehicles perform specific functions automatically. For example, to support safe driving, there is “cruise control” that assists the force to rotate the wheels, and “adaptive cruise control” that maintains the distance between vehicles.
- Level 2: Vehicles that are primarily piloted by humans and vehicles perform specific functions automatically. For example, there are functions that are automatically controlled by the vehicle, such as changing lanes or waiting for a traffic light at an intersection.
- Level 3: Refers to the ability of a human to delegate control of a vehicle to an automated vehicle and regain control if necessary.
- Level 4: Refers to a vehicle that humans control a fully automated vehicle and cannot regain control.
Autonomous driving is expected to reduce traffic congestion and traffic accidents.
3D printing
3D printing refers to the technology of layering computer-designed objects. 3D printing allows objects to be created using a variety of materials, including plastics, metals, and ceramics.
There are various types of 3D printing, including filament extension, laser saint, and plasma knife. For each type, a suitable method is used depending on the object you want to create.
In recent years, 3D printing has been adopted in various fields such as manufacturing, construction, and medicine. In addition, individuals can now purchase a 3D printer to create their own designs.
quantum computer
A quantum computer is a computer developed to realize quantum computing. Quantum computers, unlike ordinary computers, can utilize quantum mechanics to perform calculations.
Quantum computers use qubits to represent information. Because qubits can hold multiple states simultaneously, they can perform calculations significantly faster than a regular computer.
Quantum computers are still being researched and may be applied in various fields such as medicine, finance, climate change modeling, and machine learning in the future.
At the end
So, this time, I summarized Deep Tech. All of the technologies are already spreading, but other technologies such as biotechnology and nanomaterials are also classified as Deep Tech, so it seems worth digging deeper. I think AI will continue to grow especially in the future.
Thank you for reading to the end.
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Target audience
・I want to know more about Deep Tech
・ I want to use new technology in the field