5d ago · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussion6d ago · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussion6d ago · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussionMay 7 · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussionMay 6 · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussionMay 6 · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussionMay 5 · 10 min read · Physical AI just crossed a threshold that matters. When Google DeepMind released Gemini Robotics-ER 1.6 in April 2026, the headline benchmark told the story clearly: 93% accuracy on industrial instrument reading — compared to 23% for the prior versio...
Join discussionApr 2 · 15 min read · Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release
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Feb 11 · 5 min read · Every week, AI headlines feel predictable. Another frontier model release from OpenAI.Another multimodal upgrade from Google DeepMind.Another reasoning benchmark from Anthropic. And yet, outside that spotlight, an Indian startup has quietly been buil...
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