... includes all of the major AI methods for (a) representing knowledge about a task or a problem area, and (b) reasoning about a problem.
It's the dream: Find a smoldering someone on a dating app, match with them, and quickly launch into a conversation filled with subtle compliments, definitive date night plans, and witty repartee. According to research conducted by Preply, -- a language learning app and platform, – more than 70 percent of dating app users surveyed said it's possible to engage in meaningful conversation, and even fall in love with someone, before ever meeting in person (having only spoken on an app). The challenge, of course, is getting there, shifting from the notification that "It's A Match!" into dialogue worthy of a Shonda Rhimes production. It's a daunting task, so we brought in the pros: rom-com authors. Mashable spoke with several -- all with books jam-packed with quippy dialogue out this spring and summer -- to get their expert takes on how to write witty banter.
The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.
"Isolation Forest" is a brilliant algorithm for anomaly detection born in 2009 (here is the original paper). It has since become very popular: it is also implemented in Scikit-learn (see the documentation). In this article, we will appreciate the beauty in the intuition behind this algorithm and understand how exactly it works under the hood, with the aid of some examples. Anomaly (or outlier) detection is the task of identifying data points that are "very strange" compared to the majority of observations. This is useful in a range of applications, from fault detection to discovery of financial frauds, from finding health issues to identifying unsatisfied customers. Moreover, it can also be beneficial for machine learning pipelines, since it has been proven that removing outliers leads to an increase in model accuracy.
The models can have many hyperparameters and finding the best combination of the parameter using grid search methods. Grid search is a technique for tuning hyperparameter that may facilitate build a model and evaluate a model for every combination of algorithms parameters per grid. We might use 10 fold cross-validation to search the best value for that tuning hyperparameter. These values are called hyperparameters. To get the simplest set of hyperparameters we will use the Grid Search method.
Most swiping for love on a dating app know the drill. Perhaps declare intentions: Looking for something serious? The dating app Mirchi presents another possibility: "Auntie made me sign up." The option is part joke, part knowing nod to its audience. Unlike the mainstream apps such as Tinder or Bumble, Mirchi is among the growing world of dating apps created by and catering to South Asians.
Unmanned aerial vehicles (UAVs), or simply drones, are used in a plethora of civil applications due to their ease of deployment, low maintenance cost, high mobility, and ability to hover. A main advantage of drones is that, in contrast to other vehicles, they are not restricted to traveling over a road network and thus, can swiftly move over disperse locations. Such vehicles are utilized for many applications such as the real-time monitoring of road traffic, civil infrastructure inspection, wireless coverage, delivery of goods, security and surveillance, precision agriculture, and healthcare. Regarding the latter, drones can be utilized in natural disaster relief, as search and rescue units, as transfer units, and to support telemedicine. For drones to be efficient in such applications, their scheduled and coordinated flying is crucial. Moreover, given that drones typically use an electric motor and store the required energy in batteries, their scheduled charging is crucial to maximizing their availability.Controlling drones demands efficient algorithms that can solve problems that involve a large number of heterogeneous entities (e.g., drones’ owners), each one having its own goals, needs, and incentives (e.g., amount of goods to transport), while they operate in highly dynamic environments (e.g., variable number of drones) and having to deal with a number of uncertainties (e.g., future requests, emergency situations). In this context, artificial intelligence (AI) techniq...
Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. Big Data Exchange (BDx) has marked its entry into Indonesia's data centre market through a joint venture agreement with PT Indosat and the latter's two subsidiaries. The move aims to tap increasing demand for cloud services and connectivity. Estimated to be worth $300 million, the deal would see BDx enter a conditional sale and purchase agreement of shares (CSPA) and establish a joint venture with PT Indosat, PT Aplikanusa Lintasarta, and PT Starone Mitra Telekomunikasi (SMT). Under the agreement, BDx, Indosat, and Lintasarta would set up data centre and cloud operations in the Asian market, BDx said in a statement Thursday.
Silicon Valley CEOs usually focus on the positives when announcing their company's next big thing. In 2007, Apple's Steve Jobs lauded the first iPhone's "revolutionary user interface" and "breakthrough software." Google CEO Sundar Pichai took a different tack at his company's annual conference Wednesday when he announced a beta test of Google's "most advanced conversational AI yet." Pichai said the chatbot, known as LaMDA 2, can converse on any topic and had performed well in tests with Google employees. He announced a forthcoming app called AI Test Kitchen that will make the bot available for outsiders to try.
In the article below, you can check out twelve examples of AI being present in our everyday lives. Artificial intelligence (AI) is growing in popularity, and it's not hard to see why. AI has the potential to be applied in many different ways, from cooking to healthcare. Though artificial intelligence may be a buzzword today, tomorrow, it might just become a standard part of our everyday lives. They work and continue to advance by using lots of sensor data, learning how to handle traffic and making real-time decisions.
Google announced on Wednesday at its I/O 2022 convention that it plans to finally launch Matter, its new but delayed smart home industry standard later this year, and has explained how it will work in home ecosystems. Matter, developed in collaboration with Apple, Amazon, and the Zigbee Alliance among others, will let users connect all enabled devices to Google Home and control them both locally and remotely with the Google Home app, including smart home controls on Androids and Google Assistant. Matter controllers will include the original Google Home speaker, Google Mini, Nest Mini, Nest Hub, Nest Hub Max, Nest Audio and Nest Wifi. Devices will connect using Fast Pair and will feature multiple compatible voice control systems and networking protocols, including Alexa, Google Assistant, and Siri, as well as Thread. While the Fast Pair feature has previously been used for headphones and audio gear, Google announced that it will soon be able to sync lightbulbs and smart plugs with Android and Nest devices. "With Matter, there's no need to build multiple versions of a smart home device to work across different ecosystems.