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The virtual software development company  Services
The virtual software development company generates an AI GPT company,code and documentation one-stop service

We all know that large language models (LLMs) represented by ChatGPT have code generation capabilities, after all, code itself is also a language. All employees of the company are LLM, which can complete the entire software development process from analyzing requirements to writing code to document production end-to-end, and realize one-stop software development services. Ideally, based on this framework, users can simply ask for a request and get a well-documented software! Involves software requirements, design, implementation, testing, and maintenance. The software development process involves a variety of job functions, including organizational coordination, task assignment, code writing, system testing, documentation, and more. Therefore, complex software requires long development cycles and a high level of attention to detail.

a model framework running in a company mode, and divides the development process into four stages: design, writing code, testing and documentation. Several different agents are used at each stage, which play different roles in the company, such as programmers, reviewers, and testers. To facilitate effective communication and collaboration, each phase is divided into atomic, easy-to-perform subtasks. In a chat chain, each node represents a specific subtask, and two roles engage in multiple rounds of context-aware discussions to propose and validate solutions. This approach ensures that customer requirements are analyzed, creative ideas are generated, prototype systems are designed and implemented, potential problems are identified and resolved, debugging information is interpreted, attractive graphical interfaces are created, and user manuals are generated. Guiding the software development process through a design chat chain along the chat chain (blockchain and chat) enables the delivery of the final software to the user, including source code, dependency specifications, and user manuals. is a chat-based software development framework. Users simply specify a task, and ChatDevelopment designs, writes code, tests, and documents sequentially. This new paradigm unifies the main development process through language communication, eliminating the need for specialized models at each stage, which greatly simplifies the software development process.

Started a service to generate legacy system design documents from source
Automated programming using large-scale language models

 

System development method using generative AI is rolled out to all engineers, man-month contracts are reviewed
Full-scale introduction of generative AI (artificial intelligence) in system construction for corporations. System development methods and tools using generated AI will be developed in-house and rolled out to development departments in Japan and overseas from FY2024.
There are about 10,000 engineers involved in business system development in Japan and overseas. We aim to have all engineers learn development methods that use generative AI and create a system that can be used by all employees, including related occupations such as sales.
 In the demonstration, there have already been major achievements, such as a 70% reduction in development man-hours. If the productivity of system construction is greatly improved, it is possible to increase the number of projects that can be ordered, but there is also a contradiction that the unit price of projects and the unit price of customers may decrease. Because the order amount for system construction is mainly a "man-month type" contract that accumulates the necessary man-hours and uses it as a calculation basis, "we will organize the issues and consider new contract forms with customers, such as performance-based fee-based contracts," in preparation for the impact on the system construction business brought about by generative AI. Agile development reduces man-hours by 70%

On March 4, 2023, we launched Global Generative AI LAB, a global organization that promotes the use of generative AI. The organization will promote the development of generative AI services for customers and develop system development methods that use generative AI.
 In the new system development method, generative AI is introduced in multiple processes. Highly effective has already been confirmed in the processes of "programming" to generate code and "unit testing" to verify the operation of the developed program on a functional basis. For example, in programming, a demonstration project applied to agile development had the effect of reducing programming work by 70%. The reason why it works well with Agile is that as you repeatedly code while adding and modifying functions, the range of code that can be automatically generated by AI and the accuracy of the generated code increase.
 









Positioning of existing system development methods and development methods corresponding to new generative AI
In addition, we will verify how generated AI can be used in other processes such as requirement definition and comprehensive testing. For example, in the upstream process, when documenting requirements definitions from customer requests and outline designs from requirement definitions, we believe that there is a possibility that it is possible to check with high accuracy whether there are any omissions in requirements and functions by using generated AI.
 In addition, in the test process, a migration project that renovates business systems with new technology is listed as one of the candidates for easy application of AI. The "current new comparison test" to check whether the current system and the new system operate the same has the potential to be automated by AI with high accuracy.

Utilizing generated AI for data management operations, high affinity with data processing
We will cover data processing using generative AI (artificial intelligence) such as ChatGPT. Data processing has a high affinity with generative AI, and when verified by the group, it demonstrated high processing accuracy in various situations such as pointing out data quality problems, cleansing, name matching, anonymization, and format conversion.
 One of the unique strengths of generative AI is that it can be used to output the "certainty" of the proposed amendment at 0~100%. You can set a threshold and automatically adopt amendments if they are above a certain level.
 There are two aspects to the impact of generative AI on data processing. One is to broaden the scope of correction and improve data quality. In existing tools, there are products that incorporate a function that explicitly presents fluctuations in types, tags, notation, etc., but even if it is not implemented as a tool function in generative AI, it may be possible to respond if you instruct it. There is a possibility that the work of "making decisions" that people are responsible for can be greatly reduced. The other is the involvement of non-engineers in data processing. Business staff can be involved in data processing

When working with data with interactive generative AI, you only need to give instructions in natural language, and you don't need to learn how to use analysis tools. Flexibility is also a strength. You can freely divide categories such as "Support" and "Delivery", change the framework of personality analysis, and extract other data items.





 

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経済学研究
経営学 研究

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We do things which others have never done before by creating completely new methodologies. We co-create value boldly by delicately disrupting conventional value.

We provide open access to technology such that everyone, from individuals to organisations, can participate in and contribute to a sustainable ecosystem of intelligent  and technology for the benefit of society.

Cutting-edge technology that attracts the world's attention

​1. Artificial Intelligence (AI) ...

2. Internet of Things (IoT) ...

3. Cloud Computing...

4.5G connectivity...

5.Ubiquitous network...

6. Computer vision ...

7. Robots & Drones ...

8. Blockchain

9. Digital fabrication

10. Big data

self-driving car
Natural language processing*
* A series of technologies that allow computers to process language (voice assistant, automatic translation, etc.)
Plastic recycling technology
AI-powered sensor
Bioinformatics*
*Technology that analyzes life science information with IT technology and uses it for medical improvement and product development
green hydrogen
shared mobility
alternative protein
3D printer
materials informatics
precision agriculture
synthetic biology

"Environment/Energy Field", "System/Information Science Field", "Life Science/Clinical Medicine Field"), "Nanotechnology/Materials Field"
Bird's-eye view classification and research and development area
Environment/energy application
Next-generation solar cell materials/ Power storage devices/ Power semiconductor materials/devices/ Energy carriers/ Separation technology/
Life/Healthcare Applications/Biomaterials/Nanomedical Systems/Biomeasurement/Diagnostic Devices/Bioimaging
  ICT/Electronics/New Functional Nanoelectronics Devices/Integrated Photonics/Spintronics/MEMS/Sensing Devices/Robot Fundamental Technology/Quantum Information/Communication/Quantum Measurement/Sensing/
Social Infrastructure/Structural Materials (Metals)/Structural Materials (Composite Materials)/
Design and control of materials and functions/Molecules/Element strategy/Rare element replacement/Materials informatics/Phonon engineering/Topological materials/Low-dimensional materials/Design and process of complex materials/Nanomechanical control technology/
Common basic science / Microfabrication process / Additive manufacturing / Laser processing / Nano-operand measurement technology / Materials simulation / Common support measures / ELSI / EHS of nano / micro materials, international standards
Sustainable energy and resources, advanced materials and green intelligent manufacturing, ubiquitous information networks, eco-value agriculture and bio-industry, comprehensive health security, ecological and environmental protection, development, aerospace and maritime capacity development, national and public security In order to do so, the following strategic research will be focused on.
 1.Sustainable energy/resource system = three types of research, including scaled power generation and advanced nuclear energy using renewable energy, high-efficiency comprehensive utilization of clean coal, and research and development/application models for deep resource exploration equipment.
 2, Advanced materials and green intelligent manufacturing system = research on green manufacturing equipment for high-quality basic raw materials, high-performance composite material development and manufacturing equipment, highly efficient and clean recycling of resources, ubiquitous information manufacturing technology, etc.
 3, Ubiquitous information network system = "post-IP" network model, "IOT: Internet of Things" (ubiquitous network), research on low-cost, low-loss information equipment systems and application models.
4. Eco-value agriculture/bioindustry system = research on molecular design of agricultural animal and plant varieties, biomanufacturing, new bioindustry, etc.
5. Comprehensive health security system = four research areas: early diagnosis and systemic involvement of serious chronic diseases, brain and cognitive science, psychological and mental health, stem cell and regenerative medicine, and low-cost health and medical technology with widespread benefits.
6. Ecological/environmental protection, development and development system = carbon cycle/climate change response research, regional environmental simulation/watershed environmental management system/application model, research on strategic bioresource protection and utilization and biodiversity, etc.


AIGC is in high industry demand and has been labeled as one of the most prospective paths for the future of AI. The AI industry is expected to experience a technological revolution driven by the application of AIGC in text, audio, images/videos, games, the metaverse, and many other technological scenarios. The successful commercialization of AIGC in those fields represents the potential of a trillion-dollar market,and has made related startups extremely appealing to investors
Methods that train and fine-tune AIGC (AI-Generated Content) models in a faster and cheaper manner have become extremely sought after for the commercialization and application of AIGC. Using previous experience regarding large model acceleration, AI was able to release a complete open-source Stable Diffusion pretraining and fine-tuning solution. This solution reduces the pretraining cost by 6.5 times, and the hardware cost of fine-tuning by 7 times, while simultaneously speeding up the processes! The fine-tuning task flow can also be conveniently completed on an RTX 2070/3050 PC, allowing AIGC models such as Stable Diffusion to be available to those without access to extremely complicated machines.

ChatGPT: Optimizing
Language Models
for Dialogue

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

Our company participates in the R&D team of chatGPT

Our company participates in the R&D team of BaiDu chatGPT

 

Our company participates in the R&D team of Alibaba chatGPT

Introducing Bard

It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).

We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard.


An AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.
· No-code AI is a category in the AI landscape that aims to democratize AI. No-code AI means using a no-code development platform with a visual, code-free, and often drag-and-drop interface to deploy AI and machine learning models. No code AI enables non-technical users to quickly classify, analyze data and easily build accurate models to make predictions


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Our mission is to build open-source AI projects through collaborative research efforts between leaders and experts in their fields; these include researchers, engineers, developers, PhD candidates, and AI artists across multiple disciplines. Current AI projects include text-to-image generation and model developments in language, learning, audio and biology.

Our primary drive is that creativity promotes the advancement and expansion of the human potential to develop breakthrough ideas and convert them into practical solutions to build an inclusive, more communicative, creative future for everyone.

ASR + #ChatGPT + TTS + Sentimental analysis + #Audio2Face + #MetaHumanUnrealEngine

FOUNDER & CTO Guolong

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Ph.D. in Computer Science, Harvard Universityand Doctor of Business Commerce and Management,Harvard University Research Scholar, University Professor

FOUNDER & CEO YuHongHong

Nobel Prize in Physiology or Medicine

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Partners

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