In this paper, we explore the use of large language models to assess human interpretations of real world events. To do so, we use a language model trained prior to 2020 to artificially generate news articles concerning COVID-19 given the headlines of actual articles written during the pandemic. We then compare stylistic qualities of our artificially generated corpus with a news corpus, in this case 5,082 articles produced by CBC News between January 23 and May 5, 2020. We find our artificially generated articles exhibits a considerably more negative attitude towards COVID and a significantly lower reliance on geopolitical framing. Our methods and results hold importance for researchers seeking to simulate large scale cultural processes via recent breakthroughs in text generation.

We explore the fairness issue that arises in recommender systems. Biased data due to inherent stereotypes of particular groups (e.g., male students' average rating on mathematics is often higher than that on humanities, and vice versa for females) may yield a limited scope of suggested items to a certain group of users. Our main contribution lies in the introduction of a novel fairness notion (that we call equal experience), which can serve to regulate such unfairness in the presence of biased data. The notion captures the degree of the equal experience of item recommendations across distinct groups. We propose an optimization framework that incorporates the fairness notion as a regularization term, as well as introduce computationally-efficient algorithms that solve the optimization. Experiments on synthetic and benchmark real datasets demonstrate that the proposed framework can indeed mitigate such unfairness while exhibiting a minor degradation of recommendation accuracy.

Speaker separation aims to extract multiple voices from a mixed signal. In this paper, we propose two speaker-aware designs to improve the existing speaker separation solutions. The first model is a speaker conditioning network that integrates speech samples to generate individualized speaker conditions, which then provide informed guidance for a separation module to produce well-separated outputs. The second design aims to reduce non-target voices in the separated speech. To this end, we propose negative distances to penalize the appearance of any non-target voice in the channel outputs, and positive distances to drive the separated voices closer to the clean targets. We explore two different setups, weighted-sum and triplet-like, to integrate these two distances to form a combined auxiliary loss for the separation networks. Experiments conducted on LibriMix demonstrate the effectiveness of our proposed models.

Whatever the motivation is, it does not appear to be games -- at least not based on those showcased at Meta Connect, of which there were a mere handful. "Iron Man VR," a game previously available on PS VR, is coming to the Quest store. There was a spare cinematic teaser for a new IP called "Behemoth" by Skydance, the developer behind "The Walking Dead: Saints and Sinners," which also touted new content. "Population: One," the VR battle royale title, is getting a sandbox mode allowing players to create their own maps. Even the addition of Microsoft's cloud-streaming service adds little excitement.

With Amazon's Prime Early Access Sale, you can take advantage of great sales on everything from Echo smart displays, Kindles, Fire tablets, and more, during the two-day event--saving you money and allowing you to get ahead on some shopping. We've rounded up all the great deals on WIRED-approved gadgets below. The WIRED Gear team tests products year-round. We sorted through hundreds of thousands of deals by hand to make these picks. Crossed-out products are out of stock or no longer discounted .

It was only five years ago that electronic punk band YACHT entered the recording studio with a daunting task: They would train an AI on 14 years of their music, then synthesize the results into the album "Chain Tripping." "I'm not interested in being a reactionary," YACHT member and tech writer Claire L. Evans said in a documentary about the album. "I don't want to return to my roots and play acoustic guitar because I'm so freaked out about the coming robot apocalypse, but I also don't want to jump into the trenches and welcome our new robot overlords either." But our new robot overlords are making a whole lot of progress in the space of AI music generation. Even though the Grammy-nominated "Chain Tripping" was released in 2019, the technology behind it is already becoming outdated.

Wonder what your old black-and-white photos look like in real? It is based on GANs. Now take out your Grandparents' old photo album and let's get Started. We will be using google colab to run the Deoldify model. Google Colab is a product from Google Research.

Amazon's deal events promise hundreds of thousands of deals, but not everyone wants to spend on a big-ticket purchase. There are usually some great finds on deals under $50. We've rounded up our favorites, whether you're looking for a new Roku or Echo Dot, or want to own your favorite TV series on DVD. The WIRED Gear team tests products year-round. We sorted through hundreds of thousands of deals by hand to make these picks.

What do we do with archival images in the time of AI image creation? As I have been writing this article, Dall-E and similar projects have become extremely popular. I had a chance to access Midjourney, a platform similar to Dall-E.

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