Truvace — The Public Record of AI Impact<br>± SCIENCE — Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exist…+ SCIENCE — Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection bet…± SCIENCE — Significance Deep neural networks are currently the most successful machine-learning technique for solving a…+ SCIENCE — Deep learning allows computational models that are composed of multiple processing layers to learn representa…+ HEALTH — For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researc…+ SCIENCE — Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer…+ SCIENCE — Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech rec…+ SCIENCE — Current deep-learning models are mostly built upon neural networks, i.e. multiple layers of parameterized dif…<br>± SCIENCE — Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exist…+ SCIENCE — Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection bet…± SCIENCE — Significance Deep neural networks are currently the most successful machine-learning technique for solving a…+ SCIENCE — Deep learning allows computational models that are composed of multiple processing layers to learn representa…+ HEALTH — For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researc…+ SCIENCE — Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer…+ SCIENCE — Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech rec…+ SCIENCE — Current deep-learning models are mostly built upon neural networks, i.e. multiple layers of parameterized dif…
Lead story · Science
Federated Machine Learning<br>Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to these challenges: secure federated learning. Beyond the federated-learning framework first proposed by Google in 2016, we introduce a comprehensive secure federated-learning framework, which includes horizontal federated learning, vertical federated learning, and federated tran…<br>ACM Transactions on Intelligent Systems and TechnologyGain<br>Secure federated learning allows organizations to build data networks and share knowledge without compromising user privacy.
Problem<br>AI progress is blocked because industry data remains in isolated islands and privacy and security constraints are strengthening.
Trending traces<br>View all →<br>01Federated Machine Learning<br>Science · Contested · G 70 / P 67
02Overcoming catastrophic forgetting in neural networks<br>Science · Positive state · G 71 / P 65
03XAI-driven Data Mining for Self-defending IoT Systems: Enhancing Cybersecurity Transparency in the Age of Smart Cities<br>Crime · Contested · G 69 / P 69
04The development of cyber threats related to the use of AI<br>Crime · Contested · G 70 / P 70
05How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape<br>Crime · Contested · G 67 / P 68
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01OpenAI<br>88 measured impact<br>Stable attention<br>02Anthropic<br>76 measured impact<br>Rising attention<br>03Google DeepMind<br>54 measured impact<br>Falling attention<br>04xAI<br>50 measured impact<br>Rising attention<br>05Microsoft AI<br>38 measured impact<br>Stable attention<br>Full ranking →
Reading of the MonthBoth headlines are true<br>AI out-diagnoses physicians and saves them almost no time; 170 million new roles are projected while young...