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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

Weekly Editor's Picks

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

Contains collection download link

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 →

Hyper.ai's official website updates this week:

* High-quality public datasets: 8
1️⃣ AISHELL-1 open source Chinese speech database
2️⃣ DeepSymNet Deep Symbol Network Dataset
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* AI4S paper cases: 2
1️⃣ Aiming at the world's most common cancer, Chinese scholars established the breast cancer prognostic scoring system MIRS
2️⃣ Shenzhen Institute of Advanced Technology of Chinese Academy of Sciences proposed SBeA, which analyzes animal social behavior based on a few-shot learning framework

* Popular encyclopedia entries: 8
1️⃣ Floating point operations per second FLOPS
2️⃣ Random Walk
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For more resources, please see this article →

What is the meaning behind the social behavior of animals? Does the progression of reproduction, predation, defense, and establishment of social hierarchy reveal the process of human evolution? The precise quantification, identification, and behavior classification of animal social behavior can help reveal the role of brain function and mental disorders in the interaction process.

This research urgently needs to improve research efficiency and accuracy through technological innovation. Based on this, the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences developed SBeA, which can comprehensively quantify the behavior of free-living animals, use a small number of labeled frames (about 400 frames) to estimate the three-dimensional posture of multiple animals, and use a two-way transfer learning strategy to achieve an accuracy rate of more than 90% in multi-animal identity recognition. This article is an interpretation and sharing of the experimental results👉

Breast cancer has officially replaced lung cancer as the world's number one cancer, with high complication rates and mortality rates, but if it can be detected early and treated according to best practices, the survival rate is expected to be greatly improved.

Recently, Chinese scholars used a neural network model to establish a scoring system MIRS for predicting breast cancer prognosis and treatment, which can be used to guide the formulation of treatment strategies for breast cancer patients. This article is an interpretation and sharing of the study →