Tristan Greene is a journalist at The Next Web. He focuses on areas such as AI and machine learning, deep tech, and natural sciences, covering topics like generative AI, computer vision, and robotics. Tristan's work has been featured in notable publications including Undark Magazine, Yahoo Finance, and Cointelegraph.
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Tristan Greene's coverage predominantly focuses on artificial intelligence, technology, blockchain, quantum computing and cryptocurrency. He often cites data and reports on government announcements and legal policy regulations related to these topics.
To effectively reach out to Tristan, consider offering insights or expert commentary on the latest developments in AI technologies, blockchain innovations, quantum computing advancements or significant trends within the cryptocurrency space. Additionally, providing access to exclusive data or analysis can help capture his interest given his tendency to cite such information in his articles.
It is important for sources reaching out to him with press releases or pitches based on government announcements and legal policy regulations concerning these themes should ensure that they are accurate and of direct relevance to the topics he covers.
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By: Tristan Greene
Fireblocks integrates Stacks L2, giving 2,400+ institutions direct access to Bitcoin DeFi lending, staking, and yields.
By: Tristan Greene
Humanity’s Last Exam is a PhD-level benchmark designed to test the limits of AI reasoning. Although Google’s Gemini 3 scored a staggering 48.4%, experts stress that this does not indicate the arrival of artificial general intelligence (AGI).
By: Tristan Greene
Scientists have developed a novel approach to error correction that resulted in the highest-ever fidelity of entangled, logical qubits on a superconducting quantum processor.
By: Tristan Greene
Scientists have achieved a breakthrough by "distilling" light to eliminate the noise that prevents photonic quantum computers from scaling.
By: Tristan Greene
When running an AI model through a quantum computer, scientists have increased accuracy by only adding a relatively small number of parameters.
By: Tristan Greene
Tristan Greene One of the key metrics used to measure the quality and capabilities of AI systems such as Anthropic's Claude, OpenAI's ChatGPT
By: Tristan Greene
IBM's NanoStack architecture has helped scientists cram 100 billion transistors onto a computer chip, delivering 50% better performance and consuming 70% less energy than the current generation.
By: Tristan Greene
A new quantum computing chip turns destructive noise into a programmable feature, helping scientists study signal loss and error correction to build more effective systems in the future.
By: Tristan Greene
IBM's NanoStack architecture has helped scientists cram 100 billion transistors onto a computer chip, delivering 50% better performance and consuming 70% less energy than the current generation.
By: Tristan Greene
Nuclear fusion inches closer after scientists combine supercomputing, AI and quantum computing to blueprint a way to create more tritium.
