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HOCIT.哈牛桥

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HOCIntelligentTechnologyGroup
Our Team
About Us
哈牛桥智能科技南京有限公司
HOCインテリジェントテクノロジー株式会社
- 株式会社最先端技術研究所
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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

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

Born in 1995, he is a pioneer and international expert in computer science who has evolved open source software for science and technology. Professor at the Faculty of Medicine, Osaka University, qualified as a physician, and professor at the Department of Computer Science, Graduate School of Information Science and Technology. Doctor of University Hospital, Professor of Oxford University, Research Scholar of LCFI Laboratory, Doctor of Harvard Medical School, Head of Advanced Technology Research at NTTGROUP, Director of HOCITGROUP
From 2012 to 2016, he was a professor at the Graduate School of Information Science and Technology, OXFORD University, where he was a research professor at the world-famous LCFI laboratory, where he developed the world's first open source software for autonomous driving technology, Autoware. 2017 to present Professor, Department of DATAScience, Faculty of Medicine, Osaka University
He has also worked as a postdoctoral researcher at Keio University, Kyoto University, the University of Tokyo, MIT University, and Cambridge University. Google AI Team members, Microsoft team members

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