🔮🤓 Some Non-Obvious ML Predictions for 2022
Was this email forwarded to you? Sign up here 📝 EditorialIt’s tough to make predictions, especially about the future – it’s a phrase popularly attributed to legendary New York Yankees catcher Yogi Berra. That wisdom certainly applies to the machine learning (ML) market. We don’t like making predictions about technology markets or pretending we know better than anyone else. However, it’s the end of the year so we need to give you something 😉 We decided to outline a few non-obvious trends that might play an important role in the ML market in 2022. Calling these predictions might be an overstatement, but it’s fun nonetheless. Here are five that might make you think:
Well, there you have five non-obvious trends of the ML market in 2022. Let’s revisit them periodically next year and see how we are doing. Before concluding, we would like to thank you for your support during this year. Hope we were able to maintain high levels of content quality and that you found this newsletter instructive and helpful. We hope to have you with us next year. Thanks and Happy Holidays 💜 🔺🔻 TheSequence Scope is our Sunday free digest. To receive high-quality educational content about the most relevant concepts, research papers, and developments in the ML world every Tuesday and Thursday, please subscribe to TheSequence Edge 🔺🔻 🗓 Next week in TheSequence Edge: We will go light and surprise you ;) Now, let’s review the most important developments in the AI industry this week 🔎 ML ResearchWebGPT OpenAI trained a version of GPT-3 to answer open-ended questions based on how users search information online →read more on OpenAI blog Partially Local Federated Learning Models Google Research published a paper proposing a technique to improve personalization and privacy in federated learning models →read more on Google Research blog Common Sense Language Understanding Microsoft Research published a paper detailing KEAR, a model that exhibits signs of common sense reasoning in language understanding tasks →read more on Microsoft Research blog Mirroring Natural Speech Microsoft Research published a paper proposing Uni-TTSv4, a text-to-speech model that shows no difference with natural voice recordings >→read more on Microsoft Research blog 🤖 Cool AI Tech ReleasesNew TorchVision API PyTorch introduced a new API for its computer vision framework TorchVision with multi-weight support →read more on PyTorch blog 😎 Awesome stuffWe highly recommend the Reading list we put together for you from all our interviews with ML practitioners. Enjoy the reading and share this list with your friends! You can also follow us on Twitter where we share all our recommendations in bite-sized form 💸 Money in AIAI&ML
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