If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Last week, it was Xbox's turn, and now we have a price for the new PlayStation. Sony has set a $400/$500 split for the Digital Edition vs. standard PS5, charging $100 extra for the privilege of a disc drive for physical media. If you need a reason to splash for the disc version, look no further than the new $70 benchmark for many new titles -- disc games might be a little easier to find used or on sale. Retailers like Amazon, Best Buy, Walmart and GameStop started taking pre-orders shortly after Sony's event ended, but if you missed out on the first wave, keep checking back -- a few people have reported success hours after they supposedly sold out. Assuming you can secure a day-one purchase, you can expect it to see it November 12th in the US, Canada, Japan, Mexico, Australia, New Zealand and South Korea, before the PS5 launches everywhere else on November 19th.
A remarkable characteristic of human intelligence is our ability to learn tasks quickly. Most humans can learn reasonably complex skills like tool-use and gameplay within just a few hours, and understand the basics after only a few attempts. This suggests that data-efficient learning may be a meaningful part of developing broader intelligence. On the other hand, Deep Reinforcement Learning (RL) algorithms can achieve superhuman performance on games like Atari, Starcraft, Dota, and Go, but require large amounts of data to get there. Achieving superhuman performance on Dota took over 10,000 human years of gameplay. Unlike simulation, skill acquisition in the real-world is constrained to wall-clock time.
As wildfires grow in size and frequency, more resources are needed to keep them in check. But experts say a Trump administration directive halting the purchase of new drones jeopardizes the rise of cutting-edge technology, curtailing the ability to manage wildfires and potentially putting more lives in danger. In October 2019, the US Department of the Interior grounded its fleet of more than 800 drones and put a freeze on buying new ones due to concerns of Chinese spying. Many of the devices were used in wildfire fighting and prevention, including starting prescribed burns, a key tool in controlling wildfire. The interior department carries out more than 10,000 drone flights a year on average, according to federal documents.
In mid-July, a UPS subsidiary called Flight Forward and the drone company Matternet started a project with the Wake Forest Baptist Health system in North Carolina. The companies' aims are decidedly futuristic: to ferry specialty medicines and protective equipment between two of the system's facilities, less than a half-mile apart. Think of it: little flying machines, zipping about at speeds up to 43 mph, bearing the goods to heal. At this point, though, the drone operations are a little, well, human. The quadcopters must be operated by specialized drone pilots, who must pass a challenging aeronautical knowledge test to get their licenses.
How can chatbots become truly intelligent by combining five different models of conversation? Conversational AI is all about making machines communicate with us in natural language. They are called using various names -- chatbots, voice bots, virtual assistants, etc. In reality, they may be slightly different to each other. However one key feature that ties them all together is their ability to understand natural language commands and requests from us-human users. In the back-end, these agents will have to deal with carrying out the request and engage in a conversation.
Mashable's series Tech in 2025 explores how the challenges of today will dramatically change the near future. Where are the chilled out passengers on their phones, or napping, as an invisible "driver" navigates a crowded intersection? They're still mostly stuck in the backseat as a human driver shuttles them around. They're likely in a highly automated and autonomous-capable vehicle, but a human is still there monitoring the machine. The pandemic made us more comfortable with the idea of autonomous vehicles, but most industry experts still predict a slow transition to their widespread adoption in the U.S. When you're avoiding exposure to a deadly disease, perhaps a driverless robotaxi, like the Waymo One service in suburban Phoenix, looks more attractive.
Geese, swans and ducks are easily startled by drones, scientists have found. The flying machines are becoming increasingly common in the UK as the technology becomes cheaper and the devices easier to fly. However, conservationists from the British Trust for Ornithology (BTO) found the presence of the whirring machines can trigger fear in the birds, causing them to flee. Disturbances caused by drones could affect rare and protected species, causing them to waste energy and reduce time spent in winter feeding grounds, experts fear. Conservationists from the British Trust for Ornithology (BTO) found the presence of drones can trigger fear in waterbirds, causing them to flee.
With the advent of COVID 19 outbreak, the aviation sector had to stop its operations, thus having a halt in flight travels. Many airlines felt the burden of this unprecedented situation, however Scandanavian airline (SAS), felt another threat looming over their head. The SAS has a loyalty program EuroBonus, which provides points to the airline's customers every time they travel. However, owing to the pandemic, this program had to halt operations until air travel can be resumed. However, EndoBonus scammers have been trying to gain many points by either booking travel rewards or by selling the tickets.
The aviation industry is the front-runner of autonomous vehicles. It has long beat the automotive sector in the race of autonomy. People feel comfortable with the implication of self-driving vehicles when they grow fond of the concept of autonomy. The self-flying planes are already on use with the help of flight plan created by pilots. For example, if a pilot takes off the seat-belt sign, there are chances that the flight is being self-driven.
If you are reading this, then you probably tried to predict who will survive the Titanic shipwreck. This Kaggle competition is a canonical example of machine learning, and a right of passage for any aspiring data scientist. What if instead of predicting who will survive, you only had to predict how many will survive? Or, what if you had to predict the average age of survivors, or the sum of the fare that the survivors paid? There are many applications where classification predictions need to be aggregated.