This is the official project of the Multimodal Learning with Alternating Unimodal Adaptation (MLA) method proposed by our paper titled 'Multimodal representation learning by alternating unimodal ...

OpenAI released an advanced image generator for GPT‑4o this week. The San Francisco-based research lab announced that this improvement in image generation is now native to GPT-4o, allowing users to ...

Leveraging the power of AI and machine learning technologies, researchers developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.

Most AI models are unimodal, meaning they specialize in just one format like text ... Instead of relying solely on labelled examples, zero-shot models use auxiliary information, such as semantic ...

However, the lack of texture and the sparsity of incomplete point clouds make it difficult for unimodal trackers to distinguish objects with similar structures. To overcome the limitations of previous ...

Next, we construct a multi-omics data fusion framework based on sample similarity networks, bimodal tests, and variance information, which solves the data fusion problem and enables the NMDP model to ...

The data demonstrates a trend toward centralization, though the effect is not pronounced. The kernel density curve consistently maintains a unimodal shape, and throughout the study period, no ...

We developed “YOLO Phantom” for detection in low-light conditions and occluded scenarios within resource-constrained IoT applications. We proposed the novel "Phantom Convolution," which enables YOLO ...

Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in ...

"On a scale of 0 to 1, where 1 is perfect and 0 means nothing is correct, our multimodal model gets close to 0.8, whereas unimodal models ... to test further. For example, the ratio of tumor ...