Denial-of-Service (DoS) attacks remain a critical threat to network security, disrupting services and causing significant economic losses. Traditional detection methods, including statistical and rule-based models, struggle to adapt to evolving attack patterns. To address this challenge, we propose a novel Temporal-Spatial Attention Network (TSAN) architecture for detecting Denial of Service (DoS) attacks in network traffic. By leveraging both temporal and spatial features of network traffic, our approach captures complex traffic patterns and anomalies that traditional methods might miss. The TSAN model incorporates transformer-based temporal encoding, convolutional spatial encoding, and a cross-attention mechanism to fuse these complementary feature spaces. Additionally, we employ multi-task learning with auxiliary tasks to enhance the model's robustness. Experimental results on the NSL-KDD dataset demonstrate that TSAN outperforms state-of-the-art models, achieving superior accuracy, precision, recall, and F1-score while maintaining computational efficiency for real-time deployment. The proposed architecture offers an optimal balance between detection accuracy and computational overhead, making it highly suitable for real-world network security applications.

When poet John Keats wrote in "Ode on a Grecian Urn" that "beauty is truth, truth beauty," he probably didn't have AI influencers in mind. Back in April, Fanvue, an AI-infused creator platform that falls somewhere between OnlyFans and Cameo in terms of services, launched what it's calling the "world's first beauty pageant for AI creators." On Monday, the World AI Creator Awards announced the contest's 10 semifinalists. Drawn from a pool of more than 1,500 applicants, they are vying for the chance to make a liar out of Keats--and a prize package valued at about 20,000. Amongst those 10 finalists, you'll find Seren Ay, a stunning Turkish redhead who is sometimes pictured doing jobs traditionally held by men in her country, like electrical lineman or firefighter.

April 12, 2018 --Visit this online directory of the nearly 200 faculty members at Hampshire College and you'll find that, listed between a professor of communications and a visiting professor of video and film, is a petri dish of yellow schmutz. The schmutz is a plasmodial slime mold, Physarum polycephalum, a glob of living cells that exhibits decidedly non-schmutzlike behavior, such as solving mazes and anticipating periodic events – so much so that in 2017 Hampshire, a private liberal arts school in Amherst, Mass., awarded it a position of "visiting non-human scholar." The abilities of non-animals to remember events, recognize patterns, and solve problems are prompting scientists and philosophers to rethink what thinking is. In the 20th century, science demolished the notion that humans are the only animals to exhibit complex thinking; in the 21st, biologists are beginning to see cognition in other biological kingdoms – not just slime molds, but also plants. This shift in thought could not only help scientists better understand cognition's workings and its origins, but it could also help in the search for intelligence beyond Earth.

When you sign up to labor in the "Mental Work" factory, you're equipped with a brain-scanning headset and taught how to use it. The headset uses standard EEG electrodes to record your brainwaves, and the associated software can pick out specific patterns. The factory overseer explains that this brain-computer interface has been programmed to respond to a neural pattern that occurs when you imagine squeezing a ball in your hand. Then you're introduced to the machines you'll be controlling. They are things of beauty, made of lightweight aluminum and finished in chrome.

In the future, they say, cars will drive themselves. You'll call a roving robo-taxi, tell it where you want to go, and check out mentally in the back seat. People will be human cargo--as unengaged in the journey as a smiley-faced Amazon box awaiting delivery. Driverless vehicles are the logical conclusion of megatrends--the century-old march of automation, perfected by artificial intelligence. Carmakers and tech giants are racing to get on board. In the media, autonomous cars are no longer the answer to a question but the starting premise.

One of the rewards of inventing something new is that you get to name it. The name doesn't always stick; with familiarity, "horse less carriages" tend to become "automo biles" and finally mere "cars." But the original coinage stands as a wonderful snapshot of how we saw the world at a certain moment, flush with delight in new pos sibilities. And given a chance to make their mark in the lexicon, even the most sober scientists can be gleefully silly: Think of particle physics' quarks and squarks, its muons and gluons. One of the most poetic neologisms of 2016, included in our year-end round-up of the best new words, was "dark sunshine": hypothetical photons generated by (equally hypothetical) dark matter in stars.