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HubSpot Unveils Over 200 New Features, Emphasizing Agentic AI Capabilities
TLDR: HubSpot has significantly expanded its platform with more than 200 new features, a substantial portion of which are powered by agentic AI. These...
Research & Development
KEPT: Enhancing Autonomous Driving Trajectory Prediction with Knowledge-Augmented Vision-Language Models
TLDR: KEPT (Knowledge-Enhanced Prediction of Trajectories) is a new framework that significantly improves trajectory prediction for autonomous driving. It uses a specialized video encoder...
Research & Development
Protecting User Privacy in Recommendation Systems Through Encrypted Sparse Data
TLDR: This research introduces a novel method for privacy-preserving recommendation systems by combining Fully Homomorphic Encryption (FHE) with Compressed Sparse Row (CSR) representation and...
Research & Development
AI’s Blind Spot: How Models Get Confused by Missing Visuals and a New Way to Fix It
TLDR: Large Vision-Language Models (LVLMs) often generate incorrect responses when text inputs refer to concepts not present in an image. Researchers discovered specific "Visual...
Research & Development
Beyond Success: How Negative Feedback Improves Goal-Conditioned AI Learning
TLDR: GCSL-NF is a new AI learning method that improves upon Goal-Conditioned Supervised Learning (GCSL) by incorporating negative feedback from failures. It uses contrastive...
Research & Development
FoMEMO: A New Approach to Efficient Multi-objective Optimization with Foundation Models
TLDR: FoMEMO introduces a novel paradigm for expensive multi-objective optimization using a pre-trained foundation model. Instead of relying on costly real-world data or rebuilding...