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AI accelerates drug repositioning

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Integrating two molecular network architectures

At present, most of the research results of AI on financial models are trained based on public knowledge. However, in actual financial practice, the interpretability of this public knowledge for the current market is often seriously insufficient. An ideal financial big model should be able to understand news or data events and be able to instantly interpret the events from both subjective and quantitative perspectives.

New achievements, new trends, and new perspectives of AI for Science - * NVIDIA: There are many strategic contents in the field of AI for Science being laid out * Microsoft has joined hands with many medical institutions to launch TRAIN * Overjet has won the dental AI […]

A new milestone in controlled nuclear fusion

Orca-Math is a mathematical reasoning model released by Microsoft Research that demonstrates the value of smaller specialized models in specific areas, which can match or even exceed the performance of larger models. Microsoft recently open-sourced the Orca-Math-200K math word quiz used to train Orca-Math.

5 hours and 7 minutes to complete all analyses

Summary of the 2024 GTC keynote speeches

The annual 3.15 Gala contains more and more AI. This year, it specifically named and exposed the black and gray industry chain of motherboards and AI face-changing/voice-over scams.

Urban Crisis and Countermeasures in Land Subsidence

2024 GTC Big Guess

my country's wind energy density will show a slight decline this century

Research on Introducing Generative Modeling into Crowd Movement

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Start from your interest and enter a richer world of sound

Contains detailed agenda and registration QR code

The government work report clearly proposed to launch the "Artificial Intelligence +" action

Voice cloning model GPT-SoVITS, step-by-step tutorial, prepare 5 seconds of voice to clone a voice with a similarity of 95%

Neural structure search + knowledge distillation, double buff support

Hyper.ai's latest updates this week

A quick overview of recent AI for Science developments

Addressing the mosaic integration problem of single-cell multi-omics data

The average screening interval for clinical applications was extended from 12 months to 31.97 months

IoU increased from 1.91% to 24.42%

Hyper.ai's latest updates this week

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The four major new functions of intelligent scientific facilities are: large scientific models, generative simulation and inversion, high-throughput autonomous unmanned experiments, and large-scale trusted scientific research collaboration.

To live a decent life, there must be green workplaces

The diagnosis of ophthalmic diseases is highly dependent on image recognition, and ophthalmology is very suitable for the application of technologies such as deep learning. In order to further explore the potential value of deep learning in the diagnosis of fundus diseases, five ophthalmology centers across the country, led by Chen Youxin, director of the Department of Ophthalmology at Peking Union Medical College Hospital, worked with Beijing Zhiyuan Huitu Technology Co., Ltd. and Professor Li Xirong of the School of Information at Renmin University of China to jointly develop a deep learning system.

The system helped primary ophthalmologists improve their diagnostic consistency by about 12% and provided a new method for the automatic detection of 13 major fundus diseases. This article is a further interpretation and sharing of the study →