{"id":921,"date":"2023-12-22T19:10:27","date_gmt":"2023-12-22T19:10:27","guid":{"rendered":"https:\/\/todaysainews.com\/index.php\/2023\/12\/22\/2023-a-year-of-groundbreaking-advances-in-ai-and-computing\/"},"modified":"2025-04-27T07:30:41","modified_gmt":"2025-04-27T07:30:41","slug":"2023-a-year-of-groundbreaking-advances-in-ai-and-computing","status":"publish","type":"post","link":"https:\/\/todaysainews.com\/index.php\/2023\/12\/22\/2023-a-year-of-groundbreaking-advances-in-ai-and-computing\/","title":{"rendered":"2023: A Year of Groundbreaking Advances in AI and Computing"},"content":{"rendered":"

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By Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society<\/p>\n<\/dd>\n<\/dl>\n

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This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications.<\/p>\n

As ongoing research pushes AI even farther, we look back to our perspective<\/a> published in January of this year, titled \u201cWhy we focus on AI (and to what end),\u201d where we noted:<\/p>\n

We are committed to leading and setting the standard in developing and shipping useful and beneficial applications, applying ethical principles grounded in human values, and evolving our approaches as we learn from research, experience, users, and the wider community.<\/i><\/p>\n

We also believe that getting AI right \u2014 which to us involves innovating and delivering widely accessible benefits to people and society, while mitigating its risks \u2014 must be a collective effort involving us and others, including researchers, developers, users (individuals, businesses, and other organizations), governments, regulators, and citizens.<\/i><\/p>\n

We are convinced that the AI-enabled innovations we are focused on developing and delivering boldly and responsibly are useful, compelling, and have the potential to assist and improve lives of people everywhere \u2014 this is what compels us.<\/i><\/p>\n

In this Year-in-Review post we\u2019ll go over some of Google Research\u2019s and Google DeepMind\u2019s efforts putting these paragraphs into practice safely throughout 2023.<\/p>\n

Advances in Products & Technologies<\/h2>\n

This was the year generative AI captured the world\u2019s attention, creating imagery, music, stories, and engaging conversation about everything imaginable, at a level of creativity and a speed almost implausible a few years ago.<\/p>\n

In February, we first launched<\/a> Bard<\/a>, a tool that you can use to explore creative ideas and explain things simply. It can generate text, translate languages, write different kinds of creative content and more.<\/p>\n<\/div>\n

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In May, we watched the results of months and years of our foundational and applied work announced on stage at Google I\/O<\/a>. Principally, this included PaLM 2<\/a>, a large language model (LLM) that brought together compute-optimal scaling, an improved dataset mixture, and model architecture to excel at advanced reasoning tasks.<\/p>\n

By fine-tuning and instruction-tuning PaLM 2 for different purposes, we were able to integrate it into numerous Google products and features, including:<\/p>\n