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OpenAI acquires Global Illumination
OpenAI has acquired the team at Global Illumination, a company founded by Thomas Dimson, Taylor Gordon, and Joey Flynn. The entire team has joined OpenAI to work on our core products including ChatGPT. Global Illumination is a company that has been leveraging AI to build creative tools, infrastructure, and digital experiences. The team previously designed…
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AI models are powerful, but are they biologically plausible?
Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain. About six years ago, scientists discovered a new type of more powerful neural network model known as a transformer. These models can…
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Using GPT-4 for content moderation
We’re exploring the use of LLMs to address these challenges. Our large language models like GPT-4 can understand and generate natural language, making them applicable to content moderation. The models can make moderation judgments based on policy guidelines provided to them. With this system, the process of developing and customizing content policies is trimmed down…
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A roadmap to help AI technologies speak African languages
From text-generating ChatGPT to voice-activated Siri, artificial intelligence-powered tools are designed to aid our everyday life — as long as you speak a language they support. These technologies are out of reach for billions of people who don’t use English, French, Spanish or other mainstream languages, but researchers in Africa are looking to change that.…
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Turning ChatGPT into a ‘chemistry assistant’
Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study in the Journal of the American Chemical Society, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature.…
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Quantum material exhibits ‘non-local’ behavior that mimics brain function
We often believe computers are more efficient than humans. After all, computers can complete a complex math equation in a moment and can also recall the name of that one actor we keep forgetting. However, human brains can process complicated layers of information quickly, accurately, and with almost no energy input: recognizing a face after…
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New model reduces bias and enhances trust in AI decision-making and knowledge organization
University of Waterloo researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. Traditional machine learning models often yield biased results, favouring groups with large populations or being influenced by unknown factors, and take extensive effort to identify from instances…
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Self-supervised AI learns physics to reconstruct microscopic images from holograms
Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. In a recent paper published in Nature Machine Intelligence, UCLA’s Volgenau Professor for Engineering Innovation Aydogan Ozcan and his research team introduced a self-supervised AI model nicknamed GedankenNet…
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Out with the life coach, in with the chatbot
As we start to edge out of winter, improving our diet and boosting our exercise start to appear on our agenda. But, when it comes to encouraging a healthier lifestyle, it may surprise you that artificial intelligence could be your best friend. Now, in a first systematic review and meta-analysis of its kind, researchers at…
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AI model can help determine where a patientโs cancer arose
For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types. A new approach developed by researchers at MIT and Dana-Farber Cancer Institute may make it…