deep learning
3 published articles
Automated Playtesting
Candy Crush just proved grid-based AI is the wrong approach for complex games
King Digital researchers compared GAT, BERT, and CNN models for automated playtesting in Candy Crush Saga. GAT models matched or outperformed CNNs in move prediction and difficulty estimation, especially on hard levels, while also handling new game mechanics without feature engineering.
2026-07-31
BCI research
Your brain waves just got 41 percent sharper. No new hardware needed.
Researchers propose CNN-LSTM-RL, a two-stage framework that applies reinforcement learning to correct systematic errors in non-invasive brain-computer interface decoders. Without any additional neural data, the method improved 3D movement decoding correlation by 41.5% and reduced root mean square error by 40.2% across ten participants.
2026-07-27
Multimodal AI
The three-stage rhythm that stops AI from seeing things that aren't there
New research reveals a stable three-stage redistribution of multimodal attention in VLMs, operationalized as the Visual Relay Window (VRW). The TRACE framework uses lightweight trained modules to schedule this window per task, improving grounding-sensitive benchmarks by 4.33 points on average and up to 6.6 points.
2026-07-23