The key challenge is that NeRFs typically require multiple view images to reconstruct a scene in 3D, whereas videos provide only a single view over time. But that means we have to capture a lot of data to create a NeRF. What if there was a way to creat…

In a recent paper, researchers have discovered that LLMs show enhanced performance when provided with prompts infused with emotional context, which they call "EmotionPrompts." These prompts incorporate sentiments of urgency or importance, suc…

Generating 3D objects based solely on text descriptions has proven extremely challenging for AI. Current state-of-the-art methods require optimizing a full 3D model from scratch for each new prompt, which is computationally demanding. A new technique c…

Urban planning is tricky – governments push top-down changes while locals want bottom-up ideas. It's hard to find compromises that make everyone happier. A new research paper proposes using Multi-Agent Reinforcement Learning (MARL) to vote on land …

Researchers propose a new AI system called 3D-GPT that creates 3D models by combining natural language instructions and agents specialized for working with existing 3D modeling tools. 3D-GPT has predefined functions that make 3D shapes, and it tweaks p…

Brain decoding tech has improved a lot recently thanks to AI/ML, enabling reading out visual perceptions from fMRI brain scans. But fMRI is too slow for real-time BCIs. A new study from Meta's AI research team pushes brain reading into real-time us…

Researchers evaluated ChatGPT and GPT-4 on mock CFA exam questions to see if they could pass the real tests. The CFA exams rigorously test practical finance knowledge and are known for being quite difficult. They tested the models in zero-shot, few-sho…

Game dev is super complex nowadays – games have huge codebases, massive teams, and dev cycles dragging on for years. Costs are insane too – budgets can hit $100M+ easily. In a new paper, researchers propose to reverse this trend with an AI framework ca…

Today's conversational bots like Claude and GPT can chat impressively but aren't great at complex planning or executing technical tasks. To overcome this, new research from HKU builds open-source AI agents that blend natural language and coding…

Transformers are great at NLP and computer vision tasks, but I was surprised to learn they still lag behind simple linear models at time series forecasting. The issue is how most Transformer architectures treat each timestamp as a token and fuse all th…