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Using space data to restore nature: four SME projects showcase their plans before Sussex investors

An AI-powered app helping children speak to endangered animals; a tool to use nature to fight climate change; a way to measure forest health; and a method to make decisions to build healthy communities - these four projects are using space data to help nature.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

AI offers significant benefits to science. Researchers have used specialised AI models to solve scientific problems for many years. And generative AI models such as ChatGPT offer the promise of general-purpose AI scientific assistants that can carry out a range of tasks, working collaboratively with the scientist.

Princeton Precision Health: An interdisciplinary, AI-driven approach to tackling big questions about health and disease

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

Revolutionizing Document Processing with Multi-Model AI

Ashrith Reddy Mekala's work in this field highlights the transformative potential of multi-modal AI, paving the way for smarter and more efficient document management solutions.

The Role of AI in Space Exploration

Artificial intelligence (AI) is significantly transforming numerous industries, and space exploration is one of the most promising areas benefiting from its advancements. AI is not just a futuristic concept—it is actively revolutionizing how scientists,

AI-enabled satellites could help the US evade a crippling cyber attack

The Pentagon is developing AI-enabled satellite technology that could supercharge data analysis and help evade the consequences of a cyber attack.

Perplexity just made AI research crazy cheap—what that means for the industry

Perplexity's Deep Research tool matches $75,000/month enterprise AI capabilities, forcing OpenAI and Google to justify premium pricing.

Perplexity Launches Sonar for Pro Users; Performance on Par with GPT-4o, Claude 3.5 Sonnet

Sonar is built on top of Meta's open-source Llama 3.3 70B. It is powered by Cerebras Inference, which claims to be the world's fastest AI inference engine. The model is capable of producing 1200 tokens per second.