[GiantPandaCV Guide] In recent years, Attention-based methods have gained popularity in both academia and industry due to their interpretability and effectiveness. However, the network structures proposed in papers are often embedded within code frameworks for classification, detection, segmentation, etc., leading to redundancy in code. For beginners like me, it can be challenging to find the … Read more
The author of this article – Teacher Tom ▷ Doctorate from a double first-class domestic university, national key laboratory ▷ Published 12 papers at top international conferences, obtained 2 national invention patents, served as a reviewer for multiple international journals ▷ Guided more than ten doctoral and master’s students Research Areas: General visual-language cross-modal model … Read more
The Dawn of AGI: How AI Will Reshape the Future Imagine a future where, upon waking up in the morning, your AI assistant has already planned the best travel route based on your schedule and real-time traffic conditions; at work, AI collaboration tools help you efficiently handle complex tasks, allowing you to focus on more … Read more
As tech giants erect parameter monuments in the desert of computing power, a squad of engineers adorned with dynamic routing badges is cutting open the metal abdomen of large models with algorithm welding guns. The latest leaked battle map from the DeepSeek laboratory shows that their open-source model is rewriting the underlying game theory of … Read more
-Titans: Learning to Memorize at Test Time Ali Behrouz† , Peilin Zhong† , and Vahab Mirrokni† Google Research Abstract For more than a decade, extensive research has been conducted on how to effectively utilize recurrent models and attention mechanisms.While recurrent models aim to compress data into fixed-size memories (known as hidden states), attention allows for … Read more
1. Overview The overall architecture of the Transformer has been introduced in the first section: Data must go through the following before entering the encoder and decoder: Embedding Layer Positional Encoding Layer The encoder stack consists of several encoders. Each encoder contains: Multi-Head Attention Layer Feed Forward Layer The decoder stack consists of several decoders. … Read more
Source: Time Series Research This article is approximately 2800 words long and is recommended for a 5-minute read. This article proposes a higher-order Transformer architecture specifically designed to handle multimodal stock data for predicting stock movements. For investors and traders, predicting stock movements in the financial market is crucial as it enables them to make … Read more
Scaling up: how increasing inputs has made artificial intelligence more capable The path to recent advanced AI systems has been more about building larger systems than making scientific breakthroughs. By: Veronika Samborska January 20, 2025 Cite this articleReuse our work freely For most of Artificial Intelligence’s (AI’s) history, many researchers expected that building truly capable … Read more
Reported by Machine Heart Machine Heart Editorial Team At least in the field of NLP, GELU has become the choice of many industry-leading models. As the “switch” that determines whether a neural network transmits information, the activation function is crucial for neural networks. However, is the ReLU commonly used today really the most efficient method? … Read more
“ The essence of science is to doubt everything ” A few days ago, a comment asked me whether AI Agent and Agentic AI are the same and what the difference is; when I saw this question, I was a bit puzzled. I know what AI Agent is, but what is Agentic AI? This is … Read more