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# Introduction
As AI-generated media becomes increasingly powerful and common, distinguishing AI-generated content from human-made content has become more challenging. In response to risks such as misinformation, deepfakes, and the misuse of synthetic media, Google DeepMind has developed SynthID, a collection of tools that embed unnoticeable digital watermarks into AI-generated…
To understand AI capabilities across these cognitive abilities, we propose a three-stage evaluation protocol that benchmarks system performance in relation to human capabilities: Evaluate AI systems across a broad suite of cognitive tasks covering each ability, using held-out test sets to prevent data contamination Collect human baselines for the same tasks from a demographically representative…
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# Introduction
All tutorials on data science make detecting outliers appear to be quite easy. Remove all values greater than three standard deviations; that's all there is to it. But once you start working with an actual dataset where the distribution is skewed and a stakeholder asks, "Why did you…
Introducing our National Partnerships for AI and collaboration in India We believe AI will be the most transformative technology in human history and that it should be deployed in ways that benefit all of humanity. This requires deep, strategic collaboration between frontier AI labs, governments, academia, and civil society. To fully realise AI’s potential, Google…
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# Introduction
BitNet b1.58, developed by Microsoft researchers, is a native low-bit language model. It is trained from scratch using ternary weights with values of \(-1\), \(0\), and \(+1\). Instead of shrinking a large pretrained model, BitNet is designed from the beginning to run efficiently at very low precision. This…
Catalyzing breakthroughs in science By proving it could navigate the massive search space of a Go board, AlphaGo demonstrated the potential for AI to help us better understand the vast complexities of the physical world. We started by attempting to solve the protein folding problem, a 50-year grand challenge of predicting the 3D structure of…