Revisiting PCA for Time Series Reduction in Temporal Dimension; Jiaxin Gao, Wenbo Hu, Yuntian Chen; Deep learning has significantly advanced time series analysis (TSA), enabling the extraction of complex patterns for tasks like classification, forecasting, and regression. Although dimensionality reduction has traditionally focused on the variable space-achieving notable success in minimizing data redundancy and computational complexity-less attention has been paid to reducing the temporal dimension. In this study, we revisit Principal Component Analysis (PCA), a classical dimensionality reduction technique, to explore its utility in temporal dimension reduction for time series data. It is generally thought that applying PCA to the temporal dimension would disrupt temporal dependencies, leading to limited exploration in this area. However, our theoretical analysis and extensive experiments demonstrate that applying PCA to sliding series windows not only maintains model performance, but also enhances computational efficiency. In auto-regressive forecasting, the temporal structure is partially preserved through windowing, and PCA is applied within these windows to denoise the time series while retaining their statistical information. By preprocessing time-series data with PCA, we reduce the temporal dimensionality before feeding it into TSA models such as Linear, Transformer, CNN, and RNN architectures. This approach accelerates training and inference and reduces resource consumption. Notably, PCA improves Informer training and inference speed by up to 40% and decreases GPU memory usage of TimesNet by 30%, without sacrificing model accuracy. Comparative analysis against other reduction methods further highlights the effectiveness of PCA in improving the efficiency of TSA models.

The resolution of intelligence tests, in particular numerical sequences, has been of great interest in the evaluation of AI systems. We present a new computational model called KitBit that uses a reduced set of algorithms and their combinations to build a predictive model that finds the underlying pattern in numerical sequences, such as those included in IQ tests and others of much greater complexity. We present the fundamentals of the model and its application in different cases. First, the system is tested on a set of number series used in IQ tests collected from various sources. Next, our model is successfully applied on the sequences used to evaluate the models reported in the literature. In both cases, the system is capable of solving these types of problems in less than a second using standard computing power. Finally, KitBit's algorithms have been applied for the first time to the complete set of entire sequences of the well-known OEIS database. We find a pattern in the form of a list of algorithms and predict the following terms in the largest number of series to date. These results demonstrate the potential of KitBit to solve complex problems that could be represented numerically.

In Star Trek: Discovery the answer appears to be yes, which means an old rule from The Original Series has suddenly been reversed. In the big Discovery mid-season finale "...But to Connect," David Cronenberg's Dr. Kovich returns to pass judgment over the sentient shipboard AI known as Zora (Annabelle Wallis). Here's how this episode references The Next Generation and also reaches back to one famous Original Series story about an AI gone berserk. Although much of the Discovery mid-season finale focuses on the actions the Federation will or won't take to retaliate against the unknown species that created the Dark Matter Anomaly, the bigger change is the fact that the status quo of the sentient starship computer, Zora, has taken an uplifting turn. Because Zora has achieved total sentience, Kovich is brought in to assess her.

For being one of the most iconic and influential anime series of all time, Neon Genesis Evangelion is also one of the most confusing; as of the franchise's most recent film, released on Amazon Prime earlier this month, the series has officially ended four times. But the new--and truly final--movie, Evangelion: 3.0 1.0 Thrice Upon a Time, delivers a real capstone to the series, as well as a new argument for how to watch the series as a whole. In case you're totally unfamiliar with the series, the gist is as such: Three teenagers, Shinji Ikari (Megumi Ogata), Asuka Langley Shikinami (Yūko Miyamura), and Rei Ayanami (Megumi Hayashibara), serve as the pilots of giant robots known as Evangelions. Though their initial function was to fight against mysterious beings known as Angels, they know serve as pawns between the organization NERV, led by Shinji's father Gendo (Fumihiko Tachiki), who seeks to cause a mass extinction in order to reunite with his late wife, and WILLE, a group of former NERV employees who are now NERV's only opponents. The Rebuild of Evangelion tetralogy, of which Thrice Upon a Time is the last, serves as a sort of re-telling of the events of the original TV series.

Axel Stone and friends return to clean up the streets once again in Streets of Rage 4. LizardCube hide caption Axel Stone and friends return to clean up the streets once again in Streets of Rage 4. At the turn of the '90s, the attention of the video game industry was locked onto two major companies battling for the lion's share of a growing industry. One was Nintendo, whose ubiquitous Italian plumber was a household name. The other was SEGA, a brand known for its spiky hedgehog, sure, but also for signaling a specific kind of '90s cool that set itself against other video games of the time. While Nintendo stuck to their family friendly "games-for-all" aesthetic, SEGA put out video games that were thematically riskier and more mature. One of SEGA's biggest titles of that era was Streets of Rage, a beat-'em-up style game released for the Genesis console in 1991.

Science fiction has always been a medium for futuristic imagination and while different colored aliens and intergalactic travel are yet to be discovered, there is an array of technologies that are no longer figments of the imagination thanks to the world of science fiction. Some of the creative inventions that have appeared in family-favorite movies like "Back to the Future" and "Total Recall," are now at the forefront of modern technology. Here are a few of our favorite technologies that went from science fiction to reality. This article is brought to you by All About Space. All About Space magazine takes you on an awe-inspiring journey through our solar system and beyond, from the amazing technology and spacecraft that enables humanity to venture into orbit, to the complexities of space science.

CBS' streaming service, CBS All Access, credits a trio of high-profile events -- including the premiere of its new Star Trek series, "Star Trek: Picard," as well as the 62nd annual Grammy Awards, not to mention a busy month of football -- with helping it to achieve a new record for subscriber sign-ups in a given month. The company says January 2020 surpassed the service's previous record in February 2019 for subscriber sign-ups. In addition, last week was the second-best sign-up week ever, closely behind the week of the 2019 Super Bowl. Much of the record-setting had to do with the launch of the highly anticipated show, "Star Trek: Picard," which brings back fan-favorite Patrick Stewart as Jean-Luc Picard, now a retired Starfleet Admiral whose quiet life on his family's vineyard is about to be disrupted. The show, set 18 years after the events of the final "Star Trek: The Next Generation" movie, "Star Trek: Nemesis," not only capitalizes on Stewart's draw, it also brings back previous "Star Trek" actors including Brent Spiner (Data), Jeri Ryan (Seven of Nine), Marina Sirtis (Troi), and Jonathan Frakes (Riker). But unlike other reboots, which hope nostalgia alone will bring the viewers, "Picard's" creators have actually given thought to the story the show is trying to tell, resulting in a 95% critics score on Rotten Tomatoes.

Late in an early episode of Castle Rock, the show chooses a humorless moment to poke a little fun at the audience. Henry Deaver (Andre Holland) sits in halting conversation with a mysterious young man (Bill Skarsgård), their bodies separated by glass and their voices joined by jailhouse phones. Or Deaver's voice, at least--the young man opposite him has whispered only a few words since first being freed from captivity underneath Shawshank Prison, and is utterly silent now. Deaver, an attorney, outlines what he imagines their legal strategy to be; "You understand?" he finishes. Then speaks, his voice creaking with disuse: "Has it begun?"

Girls who have seen the first season of Hyperlinked, an original series on Google's YouTube Red, are 11% more likely to be interested in computer science careers than viewers who have not watched the show, according to a new study. SAN FRANCISCO -- Google is calling on Hollywood to give equal screen time to women and minorities after a new study the Internet giant funded found that most computer scientists on television shows and in the movies are played by white men. It does not inspire underrepresented groups to pursue careers in computer science, says Daraiha Greene, Google CS in Media program manager, multicultural strategy. "We are not trying to erase that image, but we want to diversify and show other people in these roles as well," Greene said. More than three-quarters of characters engaged with computer science are men and more than two-thirds are white while 17.2% are Asian and 15.5% are from underrepresented racial and ethnic groups, according to the study from the USC Annenberg School for Communication and Journalism.

Announced last Summer, Soul of Chogokin Voltron from Bandai is almost upon us. Released in Japan at the end of last year, fans of the classic Voltron will be happy to know that it is coming Westward very soon and is indeed a truly epic toy. While many may know of the original Voltron series from the 80's, the series actually comprised of two disparate anime, Beast King GoLion and Armored Fleet Dairugger XV. While Voltron at the time in the West may have seemed unique, in Japan the original series were already somewhat late to the party as to the use of the combination gimmick. Most super robot shows of that era used the "gattai", or combination, approach to their mecha.