It has become increasingly common to pre-train models to develop general-purpose abilities and knowledge that can then be “transferred” to downstream tasks.
In applications of transfer learning to computer vision, pre-training is typically done via supervised learning on a large labelled dataset like ImageNet. In contrast, modern techniques for transfer learning in NLP often pre-train using unsupervised learning on unlabeled data.
In spite of being widely popular there are still few pressing questions bothering transfer learning in ML. Read More
Daily Archives: July 13, 2020
Kai-Fu Lee Gives AI a B-Minus Grade in the Covid-19 Fight
Robots and computer programs can help with social distancing and food delivery, but have been less helpful in developing a vaccine.
This past week, as part of the Aspen Ideas Festival, I spoke with Kai-Fu Lee, the president and chair of Sinovation Ventures and a pioneer in artificial intelligence. We discussed his recent argument that AI has been of limited use in the response to the coronavirus crisis. And then we talked about the future of work and why he thinks that Covid-19 is going to accelerate trends toward automation. Because of the virus, and because of the way we all work now, we’re going to have many more robots and other machines in our factories, restaurants, and kitchens. A lightly edited transcript is below. You can watch the original video here. Read More
5G will change the world. China wants to lead the way
China isn’t the only country jockeying for control. The US dominated 4G’s expansion and expects to do the same now.
China is moving full steam ahead on 5G, barely slowed down by a pandemic that has ravaged the world. This is setting up a race between the nation and the US, which led the way with 4G cellular technology and wants to keep its pole position in this next generation. Read More
Augmented Intelligence is the New Intelligence
What does it mean when shifting from AI to augmented intelligence?
The future of decision-making includes an inventive blend of information, analytics, and artificial intelligence (AI), with the perfect scramble of human judgment. The outcome is augmented intelligence, where the analytical force and speed of AI assumes control over most of data processing, controlling human workers to make progressively agile, more intelligent choices and find new discoveries. Read More
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