The struggling American chipmaker is betting that a new plant and fresh product line will help turn around its fortunes. After four years of construction, Intel said on Thursday that its Fab 52 semiconductor plant in Chandler, Arizona is now turning out its first chips. The company also shared more details about the long-awaited CPUs that it will be producing in the facility using Intel's brand new 18A process technology. The announcement comes just six weeks after the Trump administration acquired a 9.9 percent stake in Intel in exchange for $8.9 billion in stock. The fab opening, while long in the works, is the first major opportunity for the struggling American chip maker to convince the broader tech industry that it can produce some of the world's most advanced chips at scale--and that the White House's investment might pay off.

Amazon's Prime Day is back, and some of our favorite vacuums (from great Dyson to powerful robot vacuums!) are on sale. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Not all the advertised sales are worth shopping, but vacuums tend to have some pretty good deals this time of year, including notable discounts on Dyson's powerful stick vacuums and our favorite robot vacuums. This is a great time to get a good deal on our favorite cleaning gadgets ahead of the holiday entertaining season, and we've done the work to find out which deals are worth it.

Amazon Prime Day is live. See the best deals HERE. Whether cueing up a classic, laying down vocals, or slipping into a mix, A-T makes the moment sound right at the right price during Deal Days. We may earn revenue from the products available on this page and participate in affiliate programs. There's a ritual to spinning vinyl that resets the brain, and Audio-Technica is hosting the seance.

After significantly weakening other Iranian-backed groups in the region, Israel's military has turned its attention to the Houthis, carrying out a series of punishing strikes on Yemeni ports and other infrastructure. Last month an Israeli attack in Sana killed senior members of the Houthi-led government -- including the prime minister, Ahmed al-Rahawi -- but appeared to leave the group's military leadership largely unscathed. Israeli strikes in Yemen have also killed and wounded dozens of civilians in recent months, according to human rights groups. The United States has also bombed Yemen, in response to Houthi attacks on Red Sea shipping. The Houthis say they have targeted ships linked to Israel, although some of the ships they struck have no clear connection to the country. Houthi attacks on Israel are typically blocked or intercepted by the Israeli military, as was the case late on Thursday when sirens sounded in parts of Israel and the military soon after said that a missile from Yemen had been thwarted.

Global oil demand is rapidly increasing and is expected to reach 106.3 million barrels per day by 2040. Thus, it is vital for hydrocarbon extraction industries to forecast their production to optimize their operations and avoid losses. Big companies have realized that exploiting the power of deep learning (DL) and the massive amount of data from various oil wells for this purpose can save a lot of operational costs and reduce unwanted environmental impacts. In this direction, researchers have proposed models using conventional machine learning (ML) techniques for oil production forecasting. However, these techniques are inappropriate for this problem as they can not capture historical patterns found in time series data, resulting in inaccurate predictions. This research aims to overcome these issues by developing advanced data-driven regression models using sequential convolutions and long short-term memory (LSTM) units. Exhaustive analyses are conducted to select the optimal sequence length, model hyperparameters, and cross-well dataset formation to build highly generalized robust models. A comprehensive experimental study on Volve oilfield data validates the proposed models. It reveals that the LSTM-based sequence learning model can predict oil production better than the 1-D convolutional neural network (CNN) with mean absolute error (MAE) and R2 score of 111.16 and 0.98, respectively. It is also found that the LSTM-based model performs better than all the existing state-of-the-art solutions and achieves a 37% improvement compared to a standard linear regression, which is considered the baseline model in this work.

Deepfakes are becoming so common that we may not even realise that some of the images and videos we encounter have been artificially created. We briefly discuss what a deepfake is and some of the ways it has been permeating our lives and the content we consume. Generally, April Fool's Day is perhaps the only day of the year when we have permission to share practical jokes and hoaxes, in the hope that some of the more gullible among us would believe them, but ultimately, we can all have a good laugh about it and move on. However, what happens when it is not April Fool's Day, and hoaxes abound? That is the situation that increasingly is emerging and is of particular concern. A CNN article published late last week highlighted some of the recent hoaxes that went viral: "Pope Francis wearing a massive, white puffer coat.

ChatGPT helps hackers write malicious codes to steal your personal data — Business Insider India, 1/15/2023 Very interesting article on a very hot toptic. ChatGPT is an AI-driven program that assists…

Remember the 2014 critically acclaimed American Sci-fi rom-com Her? The Joaquin Phoenix-led movie was loved by movie-goers and tech-enthusiasts across the globe. A movie about how an introverted, lonely writer buys an AI system to help with work, only to fall in love with it. Cut to 2022, it may no longer be just an AI present in the film. On December 2, a dialogue between a The New York Times journalist and a Silicon Valley tech entrepreneur on free speech and censorship was shared by Elon Musk in a quick tweet to his 119.8 million followers, which left the Internet users in a frenzy.

The course was updated on November 4th, 2022, entirely. The new content is a significant improvement to the old course, with a better course structure, more real-world apps, and using the latest version of Python and other recent programming tools. The course assumes you have never programmed before and teaches Python from zero. This is the only course that follows a multimodal learning approach that offers students both a video course and an environment that simulates real-world programming activities similar to a real bootcamp. Students learn Python by building programs from scratch, adding new features to existing programs, improving existing features, fixing bugs, engaging in code experiments, learning programming tools that every programmer should know, deploying apps in the cloud, and engaging with other fellow students.

Artificial intelligence is on a tear. Machines can speak, write, play games, and generate original images, video, and music. But as AI's capabilities have grown, so too have its algorithms. A decade ago, machine learning algorithms relied on tens of millions of internal connections, or parameters. Today's algorithms regularly reach into the hundreds of billions and even trillions of parameters.