Microsoft's Surface Laptop Is Marked Down by $350 While Apple may have the first-party laptop market cornered with the MacBook lineup, Microsoft's Surface laptops have been steadily improving over the past few years, and are now an increasingly appealing option. Last year's seventh-generation Surface Laptop is currently marked down by $350 on Amazon for the base model, bringing the price down to a tantalizing $849. While the screen is a somewhat rare 3:2 aspect ratio, it's an excellent panel for everyday use and productivity. It can reach a decently bright 600 nits, which should be plenty for a quick work call from the park, and it has a 120-Hz refresh rate, which should smooth things out a bit, even if you don't plan on gaming. It's a touch panel as well, in case you like to get physical with your Windows, but I'm still not super enthused by the touchscreen support in the Microsoft OS.

Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration. Federated learning (FL) is a promising solution to this challenge. This paper proposes Federated classification with local Batch-specific batch normalization and Sharpness-aware minimization (FedBS) for privacy protection in EEG-based motor imagery (MI) classification. FedBS utilizes local batch-specific batch normalization to reduce data discrepancies among different clients, and sharpness-aware minimization optimizer in local training to improve model generalization. Experiments on three public MI datasets using three popular deep learning models demonstrated that FedBS outperformed six state-of-the-art FL approaches. Remarkably, it also outperformed centralized training, which does not consider privacy protection at all. In summary, FedBS protects user EEG data privacy, enabling multiple BCI users to participate in large-scale machine learning model training, which in turn improves the BCI decoding accuracy.

On March 6th, 2022, OpenAI released DALL-E 2: their "new AI system that can create realistic images and art from a description in natural language". I don't say this lightly: this new AI system is not just on-par with human artists. It is definitively better than humans in almost every sense of the word. The model has access to hundreds of thousands of distinct art styles, has a keen understanding of context, and can create incredible works in under fifteen seconds that would have otherwise taken a human days or weeks. This is not an exaggeration.

A complete program is one that for any environment specifies a unique action for a machine to perform. Programs in most traditional programming languages are complete in this sense. By contrast, a partial program is merely an arbitrary set of constraints on the potential actions of a machine and does not necessarily specify a unique action in every enviranment.