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Eka Robotics, which is developing a "vision-force-action" architecture for its physical AI models, raised a $150M Series A at a $1.45B post-money valuation (Tim Fernholz/TechCrunch)

Robots still aren't that good at picking things up, despite billions of dollars of investment and endless videos fed into deep learning models.

Germany's NEURA Robotics and Austria's NXAI have joined forces to advance physical AI technology. The collaboration combines NEURA's Physical AI stack with NXAI's xLSTM recurrent architecture, enabling robots to maintain state over long sequences and remember important information. NEURA CEO David Reger emphasized the importance of memory for robots to effectively solve complex tasks involving multiple steps.

NXAI's founder, Prof. Dr. Sepp Hochreiter, explained that xLSTM is fast, memory-efficient, and capable of maintaining state over long sequences. Together, the companies aim to accelerate the availability of AI capabilities, enabling robots to build on their experience and transfer skills to other machines and environments. The partnership brings two European strengths together under the Neuraverse platform, allowing customers to tailor the NXAI model to their specific tasks using Neuraverse and test it in NEURA Gyms before deploying it on suitable robots.

Written by urgent.news from EU-Startups's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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