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Scaling Depth in Contrastive Reinforcement Learning: Why 1000-Layer Networks Unlock New Capabilities

This research shows that making CRL networks deeper than usual can lead to significant improvements in behavior learning and generality. By unlocking deeper representations without depending on explicit rewards, this approach points toward more flexible RL systems capable of discovering complex behaviors on their own.

Introducing GEPAR3D for better dental health care – Tooploox at MICCAI 2025

During the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), the Tooploox (a Solvd Inc. company) research team introduced a new method for applying Artificial Intelligence to the analysis of three-dimensional dental scans.

Tooploox CS and AI news 56

AI never sleeps, even in summer. From Google’s CO₂ spike to ChatGPT agents and $299 robots, here’s what happened in AI in July 2025. - Tooploox

Improving continual learning and Multi-Exit Models – Tooploox at ICML 2025

Tooploox presents research on continual learning and multi-exit models at ICML 2025—advancing efficiency, performance, and AI scalability.

Tooploox CS and AI news 55

AI tackles cheating, boosts ads, delivers packages, and plays football—this June's AI roundup covers it all, from Meta to Midjourney to China’s robot match.

Tooploox CS and AI news #54

May has seen the introduction of new AI-powered features in popular products like LinkedIn, TikTok, and Gmail. As well as a massive deal between New York - Tooploox