Researchers from Northeastern University have discovered a neural mechanism in autoregressive transformer language models called function vectors (FVs). These FVs capture input-output functions and remain consistent across different contexts, allowing for task execution in zero-shot and natural text settings. The study demonstrates the potential of FVs for general-purpose functions in language models. Further research is…

Researchers at UC San Diego have introduced TD-MPC2, an expansion of the TD-MPC family of model-based RL algorithms, to address challenges faced by generalist embodied agents. TD-MPC2 performs local trajectory optimization in the latent space of a trained implicit world model, exhibits algorithmic robustness, and supports datasets with multiple embodiments and action spaces. It outperforms…

A new study by NVIDIA and Georgia Institute of Technology introduces Human-in-the-Loop Task and Motion Planning (HITL-TAMP), a system that combines task and motion planning with human teleoperation to teach robots complex manipulation skills. The system improves data collection efficiency and reduces the effort needed to train robots. HITL-TAMP outperformed a standard teleoperation system in…

Google has introduced a new grammar correction feature in its search engine called EdiT5. This feature addresses the challenges of complex grammatical error correction by using a text editing approach. It reduces latency by minimizing decoding steps and processing only the necessary tokens. EdiT5 achieves impressive results with a mean latency of 4.1 milliseconds and…

A global consensus has been reached among 28 governments, including the UK, US, EU, Australia, and China, regarding the potential dangers of artificial intelligence (AI). The agreement emerged from the AI safety summit’s “Bletchley declaration” and aims to address the risks associated with advanced AI systems. The UK Chancellor, Rishi Sunak, expressed the transformative potential…

DreamFusion proposes using pretrained text-to-image (T2I) models for 3D creation. They utilize a score distillation sampling (SDS) loss to improve 3D models and ensure consistency with text-conditioned picture distribution. DreamCraft3D, developed by researchers from Tsinghua University and DeepSeek AI, generates intricate 3D objects by employing hierarchical generation and meticulous attention to detail. They enhance geometric…

Researchers have developed Wonder3D, an innovative method for generating high-quality 3D models from single-view images. It addresses the limitations of existing approaches, such as time-consuming optimization and low-quality results. Wonder3D utilizes a cross-domain attention mechanism and a geometry-aware fusion algorithm to reconstruct accurate and detailed 3D geometry. Although it currently only works with six views,…

The rise of transformation tools in the data industry has led to the emergence of new roles such as Analytics Engineer and Data Platform Leaders. One of these roles, the Data Strategist, is becoming increasingly important within organizations. Data Strategists are at the crossroads of data individual contributors, strategic consultants, and team managers. With layoffs…

Jina AI has introduced jina-embeddings-v2, an open-source text embedding model that supports an impressive 8K context length. It competes with OpenAI’s text-embedding-ada-002 in terms of capabilities and performance on the Massive Text Embedding Benchmark leaderboard. Jina-embeddings-v2 outperforms OpenAI’s model across key metrics. The model has various applications in legal document analysis, medical research, literary analysis,…

Researchers have proposed building an image dataset under a Creative Commons license to overcome obstacles in text-to-image generation. They have used transfer learning to generate captions for CC photos and created a dataset called CommonCatalog to train Latent Diffusion Models (LDM). The CommonCanvas models perform competitively compared to the SD2-base baseline. The team has made…