Valued at $1B, Kai-Fu Lee’s LLM startup unveils open source model

Valued at $1B, Kai-Fu Lee’s LLM startup unveils open source model This TechCrunch article written by Rita Liao, reports on Kai-Fu Lee, the venture capitalist and computer scientist wants to create an OpenAI equivalent for China. Kai-Fu Lee, the computer scientist known in the West for his bestseller “AI Superpowers” and in China for his bets on artificial […]

How transparent are AI models? Stanford researchers found out.

How transparent are AI models? Stanford researchers found out. Sharon Goldman writes for VentureBeat about a new Stanford study that assesses how different, commercially available, foundational models fare in terms of transparency. Stanford University’s Center for Research on Foundation Models (CRFM) took a big swing on evaluating the transparency of a variety of AI large language models […]

MIT scholars awarded seed grants to probe the social implications of generative AI

MIT scholars awarded seed grants to probe the social implications of generative AI In July, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” Over the next month, they received an influx of responses […]

Everything. Everywhere. All at Once: AI Policy When Congress returns

Everything. Everywhere. All at Once: AI Policy When Congress returns Marc Rotenburg, the Executive Director and Founder of the Center for AI and Digital Policy, writes about what is in store for AI policy when US congress returns in September. To read the full article, please click on this link.

Exploring Explainable AI for the Arts

Exploring Explainable AI for the Arts This article co-authored by Nick Bryan-Kinns, Berker Banar, Corey Ford, Courtney N. Reed, Yixiao Zhang, Simon Colton and Jack Armitage asks the crucial question about how can we maintain transparency in the music industry about music generated by AI? Abstract: Explainable AI has the potential to support more interactive […]

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model This article co-authored by Alexandra Sasha Luccioni, Sylvain Viguier, and Anne-Laure Ligozat estimates that BLOOM, a Large Language Model, with 176 billion parameters, emits 24.7 tonnes of CO2 during a single training. Abstract: Progress in machine learning (ML) comes with a cost to the […]

Eight Months Pregnant and Arrested After False Facial Recognition Match

Eight Months Pregnant and Arrested After False Facial Recognition Match This New York Times article presents yet another dangerous example of bias in AI development and deployment, and the harmful consequences pf unregulated use of such systems for policing. Please click on this link to read the full article.

Towards Generalist Biomedical AI

Towards Generalist Biomedical AI Researchers from Google DeepMind have released Med-PaLM M, which is a large multimodal generative model that flexibly encodes and interprets biomedical data including clinical language, imaging, and genomics. Abstract. Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly […]

MOOC for Managers and HR about ChatGPT and AI

MOOC for Managers and HR about ChatGPT and AI Cécile Dejoux, Professor at CNAM, has designed a Massive Open Online Course for Managers and HR personnel about dealing with ChatGPT and AI. The course is in French. Following is a translated abstract: Please click on this link to check-out the MOOC and register.