š§ Artificial Intelligence
Artificial intelligence (AI) helps doctors make better diagnoses, scientists create new materials, farmers grow crops more effectively and all of us driving cars - and millions of other applications. This topic also covers subsets of AI such as machine learning (ML), deep learning and neural networks.
Intel Is Building the Worldās Most Powerful Supercomputer
A supercomputer capable of a quintillion operations a second will go online in 2021 after the US government handed Intel and supercomputer manufacturer Cray [https://www.cray.com/] a contract [https://www.reuters.com/article/us-usa-intel/project-aurora-u-s-government-intel-aim-for-nations-fastest-computer-idUSKCN1QZ298] to build an exascale computer [https://singularityhub.com/2018/02/09/what-global-challenges-will-we-solve-with-exascale-supercomputers/] called
š Machine Learning vs. Climate Change: AI for the Greener Good
Climate change is one of the most pressing issues of our time. Despite increasing global consensus about the urgency of reducing emissions since the 1980s, they continue to rise relentlessly. We look to technology to deliver us from climate change, preferably without sacrificing economic growth. Our optimisticāsome would say
Microsoft Invests $1 Billion in OpenAIās Mission to Build Artificial General Intelligence
Since its inception in 2015, OpenAI has been chasing the lofty goal of developing artificial general intelligence [https://singularityhub.com/2018/07/22/from-here-to-human-level-artificial-general-intelligence-in-four-not-all-that-simple-steps/] (AGI) for the benefit of all. But it turns out that doesnāt come cheap, so now Microsoft will pump $1 billion into OpenAIās effort.
Three Invaluable Ways AI and Neuroscience Are Driving Each Other Forward
DeepMindās Demis Hassabis [https://www.1843magazine.com/features/deepmind-and-google-the-battle-to-control-artificial-intelligence] once pointed to the human brain as a paramount inspiration for building AI with human-like intelligence. Heās not the only one. The meteoric success of deep learning showcases how insights from neuroscienceāmemory, learning, decision-making, visionācan be distilled