Generating quality content that actually leaves an impact on the reader or even converts them into potential clients is not a simple task. However, as a content marketer or writer, are you able to keep up with the quality and quantity? The question here is, can you use AI writing assistants to scale up the process of creating high-quality content? AI content generator tools are getting better at creating content for everything, ranging from blogs, social media posts and product description to ad copies and landing pages. If you are still over the fence about using an AI writing assistant to automate your content writing, this article is for you. AI writing assistant tools are software programmed to combine the power of machine learning with artificial intelligence in the field of content generation.

Emapta is a full-service outsourcing company that helps businesses lower labor costs, and scale fast. "Robots" are here, and they are here to stay. Artificial Intelligence (AI) is silently taking its roots in the modern world. It has created smart homes and offices, boosted security with facial recognition technology, assisted drivers in navigating rush hour traffic, and made people like or buy things through behaviour-reading predictive algorithms. While AI is making a lot of things easier, some people fear that these "robots" will take over their jobs.

What is the impact of artificial intelligence in insurance? Well, there are a lot of use cases for artificial intelligence in everyday life, but what about AI in insurance? The effects of artificial intelligence in business heavily include insurance. Are you scared of AI jargon? We have already created a detailed AI glossary for the most commonly used artificial intelligence terms and explained the basics of artificial intelligence as well as the risks and benefits of artificial intelligence for organizations and others. So, it's time to explore the role of artificial intelligence in insurance sector. One of the most revolutionary advances has been the use of AI in insurance, which has been hailed as having significant economic and societal advantages that eventually boost risk pooling and improve risk reduction, mitigation, and prevention.

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to collect some of the most relevant recent discoveries and papers -- particularly in, but not limited to, artificial intelligence -- and explain why they matter. Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages. Elsewhere, a Berlin-based group launched a project called Source that's designed as a way of allowing artists, including visual artists, musicians and writers, to opt into -- and out of -- allowing their work being used as training data for AI. AI systems like OpenAI's GPT-3 can generate fairly sensical text, or summarize existing text from the web, ebooks and other sources of information.

At 91 years old, legendary actor James Earl Jones is looking to step back from his iconic role as the voice of Darth Vader. After 45 years of playing the part, Jones has signed over the rights of the Vader voice to filmmakers hoping to use artificial intelligence to "keep Vader alive," Deadline reported Saturday morning. In a report from Vanity Fair, the company tasked with recreating the iconic villain is Ukrainian start-up Respeecher. The voice-cloning company has been working with Lucasfilm to generate many of the voices heard throughout the Star Wars universe like Luke Skywalker in Disney's The Book of Boba Fett. Respeecher uses "archival recordings and a proprietary AI algorithm to create new dialogue with the voices of performers from long ago," Vanity Fair reported.

We can now see violent hurricanes like never before. Hurricane scientists have started a research campaign to send marine robots into the heart of churning cyclones. The unprecedented missions aim to improve researchers' understanding of how hurricanes rapidly intensify into monstrous storms with destructive winds and deadly flooding. Most recently, the innovative collaboration between the U.S. National Oceanic and Atmospheric Administration (NOAA) and Saildrone, the company that engineers the innovative sailing drones, sent a robust robot into Hurricane Fiona, the furious tropical storm that deluged Puerto Rico and is now headed toward Canada's east coast. The 23-foot-long Saildrone met 50-foot waves and winds exceeding 100 mph, which you can see in the Sept. 22 footage below.

No sooner did Cruise announce plans to launch additional robotaxi fleets in Austin, Texas, and Phoenix, Airzona, within 90 days than the first Cruise robotaxis were spotted in Austin. Reddit user espressonut420 posted this photo of 16 Cruise vehicles outside the General Motors Austin IT Innovation Center. This article was also posted in German.

After weeks of teases, Nvidia's newest computer graphics cards, the "Ada Lovelace" generation of RTX 4000 GPUs, are here. Nvidia CEO Jensen Huang debuted two new models on Tuesday: the RTX 4090, which will start at a whopping $1,599, and the RTX 4080, which will launch in two configurations. The pricier card, slated to launch on October 12, occupies the same highest-end category as Nvidia's 2020 megaton RTX 3090 (previously designated by the company as its "Titan" product). The 4090's increase in physical size will demand three slots on your PC build of choice. The specs are indicative of a highest-end GPU: 16,384 CUDA cores (up from the 3090's 10,496 CUDA cores) and 2.52 GHz of boost clock (up from 1.695 GHz on the 3090).

In this course, we will implement a neural network from scratch, without dedicated libraries. In this course, we will implement a neural network from scratch, without dedicated libraries. Although we will use the python programming language, at the end of this course, you will be able to implement a neural network in any programming language. We will see how neural networks work intuitively, and then mathematically. We will also see some important tricks, which allow stabilizing the training of neural networks (log-sum-exp trick), and to prevent the memory used during training from growing exponentially (jacobian-vector product).

Artificial intelligence is reportedly boosting intelligence within businesses and is also doing the same for information technology shops. For example, AIOps (artificial intelligence for IT operations) applies AI and machine learning to data streaming from IT processes, sifting through the noise to detect, spotlight, and head off problems. AI and machine learning are also finding a home in another emerging area of IT: assisting DevOps teams in assuring the viability and quality of the software that is moving at ever-faster speeds through the system and out to users. As found in a recent survey out of GitHub, development and ops teams are turning to AI in a big way to smooth the flow of code through the software review and testing phase, with 31% of teams actively using AI and ML algorithms for code review -- more than double last year's number. The survey also finds 37% of teams use AI/ML in software testing (up from 25%), and a further 20% plan to introduce it this year.