Owing to the advancement
of algorithms combined with deep learning, Industry AI will significantly help
businesses or public institutions increase the work efficiency. In medical
research AI is also expanding its function. Take the retinal image in the
fundus as an example. Doctors can assess the health of body organs simply by
analyzing blood flow in the retinal system, which are the naked eye's only
blood vessels visible. This method is supercharging more reliable and less
time-consuming medical diagnosis thanks to new AI technologies. This sentiment
is shared by Professor Li Tao, a specialist at Nankai University in intelligent
fundus retinal images computing, who noted how AI-assisted diagnosis and
treatment would help save more lives. Artificial intelligence is changing the
world as we know it, from human intelligence's simple learning measures to
pioneering medical advances.
Computing and algorithms: A powerful
duo
Strong computing,
sophisticated algorithms, and mass data are the cornerstone for efficient,
wide-ranging AI industry. Also crucial to boosting AI application across
industries are innovations, debates, and data sharing between companies and
academia.
Professor Li, who
collaborates with Huawei to create smart computing designed for fundus retinal
images, is demonstrating an example of this crossover. At HDC 2020, Professor
Li shared how AI creativity is supercharged by the Huawei Atlas 200 DK
Developer Kit running on Ascend Ai processors. By delivering ultimate input
power at low power consumption, Atlas 200 DK effectively
funds end-to-end scientific science. Luckily for Professor Li and the medical
community, this feat is not confined to Atlas 200 alone, with Huawei offering a
comprehensive range of Atlas products that unleash the synergy between
algorithms and data to maximize efficiency.
Huawei Computer Vision Plan
Huawei released the
Computer Vision Plan at the Huawei Developer Conference 2020 (Cloud), and
invited global AI experts to take part in the research. To support this plan,
the Atlas AI computing platform powered by Huawei Ascend AI processors will
deliver powerful computing. The research findings will be
incorporated in Huawei's MindSpore, the industry-opened all-scenario AI
computing platform, allowing global AI developers to continually evolve, break
barriers and create pervasive intelligence.
An important aspect of
Huawei's AI Strategy is innovation in fundamental research. Huawei has
developed basic skills in areas such as computer vision, natural language
processing, decision making and inference. These capabilities are critical to
the development of efficient, green, stable, reliable and autonomous machine
learning.
Tian Qi, Computer Vision
Chief Scientist, Huawei's Noah's Ark Laboratory and IEEE Fellow, shared the
latest developments in computer vision science. "Huawei has invested
heavily in computer vision basic research focussing on data, information, and
models. Huawei has written over 80 articles in leading AI conferences and
journals such as CVPR, ICCV, NeurIPS, And to the ICLR. Huawei's
made other revolutionary achievements. Such work findings in the form of
academic papers and source code are accessible to industry. We are inviting
global AI developers to research, develop, and deploy AI based on existing
research results from Huawei.
The Computer Vision Plan incorporates six sub-plans. They
are:
Ø Data Iceberg Plan: Use a small amount of annotated data to
unleash the potential of massive unannotated data and support model training in
small sample scenarios.
Ø Data Magic Cube Plan: Use multi-modal quantification,
alignment, and fusion strategies to enhance the learning capability of models
in real-world scenarios.
Ø Model High-Touching Plan: Build large models on the cloud to
explore the performance limits of various vision tasks.
Ø Model Slimming Plan: Build efficient computing models on the
device side to help various chips complete complex inference.
Ø Generic Vision Plan: Define vision pre-training tasks to
build generalized vision models.
Ø V-R Integration Plan: Direct computer vision to real
artificial intelligence via virtual-real integration.
We live in a world that
demands ubiquitous cloud and widespread AI and for any technical player a
prosperous Al ecosystem is a must.
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