Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
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Biological intelligence as the basis for new AI systems
In a new research project led by the Central Institute of Mental Health (CIMH) in Mannheim, scientists are investigating how ...
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AI is making spacecraft propulsion more efficient, and could even lead to nuclear-powered rockets
Every year, companies and space agencies launch hundreds of rockets into space—and that number is set to grow dramatically ...
Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...
There is some uncertainty around the timeline to value with agentic AI. The lack of clarity owes largely to the velocity of ...
Building an artificial intelligence (AI) portfolio means looking beyond the obvious megacap names.
With climate change driving the frequency and severity of extreme weather, traditional models that supported risk assessment are struggling.
AI software development trends 2026. AI agents become standard in Enterprise systems, natural language becomes default ...
Surveying the state of America’s artificial intelligence landscape earlier this year, Misha Laskin was concerned ...
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