AI pharmaceutical giants are caught in the wave of geopolitical conflict

Based on clinical data of 10,000 patients

Generate images in 2 seconds

Pre-training + multi-task prediction fine-tuning

In the past two years, the popularity of big models has continued to rise, and they have begun to be explored in a wider range of fields. With the rapid development of the industry as a whole, more and more open source big models have flooded into the market, further promoting the expansion of upper-level applications. For developers, selecting high-quality big models and data sets is crucial for their subsequent research and development and model fine-tuning.

Geographically weighted regression method effectively integrates neural networks

Naringenin production increased 5.16 times

Diffusion model generates neural network parameters

After ChatGPT, OpenAI released another explosive product - Sora video model. While other models are still struggling to break through the coherence problem within a few seconds, Sora has already extended the video length to 60 seconds. However, the Sora model is currently only used by a small number of researchers and creative […]

Google DeepMind and Liverpool Football Club have jointly launched TacticAI, which uses geometric deep learning methods to provide professionals with tactical insights through predictive and generative models.

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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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