The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.
"Supports comprehensive multimodal input (image, video w/ audio, text, and documents such as PDFs)
Leading reasoning and coding capabilities
Truly flexible deployment (API, on-premises, on-device)
128K context window
Multilingual"
"We're beta launching SynthID, a tool for watermarking and identifying AI-generated content. With this tool, users can embed a digital watermark directly into AI-generated images or audio they create. This watermark is imperceptible to humans, but detectable for identification."
"Turn academic papers into AI-generated audio discussions
About this experiment
Illuminate is an experimental technology that uses AI to adapt content to your learning preferences."
"Google's Gemini AI, compared to OpenAI's GPT-4, presents several notable features and advancements
1. Performance: Gemini AI claims to outperform GPT-4 and expert humans in a range of intelligence tests. Specifically, the more powerfu"
"Build voice AI into your apps
Deepgram's voice AI platform provides APIs for speech-to-text, text-to-speech, and language understanding. From medical transcription to autonomous agents, Deepgram is the go-to choice for developers of voice AI experiences."
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