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) …
If you've ever seen a robot lawn mower before, you probably dreamed of getting one but decided against it because they're priced well out of reach for many people. You're in luck today, however, because Amazon is offering a crazy deal on the popular WORX WR140 Landroid M 20V Cordless Robotic Lawnmower that drops this top-rated robotic mower to its lowest price ever. The WORX Landroid M is one of the best robot lawnmowers available right now, and it's able to mow up to 1/4 acre of lawn at a time on its own. Everyone knows that robotic vacuums like the kind iRobot's Roomba brand sells are fantastic. Whether you get an entry-level model like the Roomba 675 or a top-of-the-line Roomba i7 that can empty its dust bin on its own (it's $200 off right now on Amazon), you're going to love it.
The web accessibility market has undergone a tremendous amount of upheaval over the past five years. Most recently, the societal aftershocks of the coronavirus pandemic have reminded everyone of the importance of universal access to digital services. Since 2015, there has also been an explosion of litigation, including class-action lawsuits filed under the ADA (Americans with Disabilities Act) against organizations that have failed to make their websites accessible to disabled people. In 2018, the number of web accessibility lawsuits in the U.S. increased by 177% from the previous year to 2,258. Up to 20% of the population have a disability, be it visual, auditory, or motor, requiring a computer access intervention.
Undoubtedly, artificial intelligence (AI) is able to support organisations in tackling their threat landscape and the widening of vulnerabilities as criminals have become more sophisticated. However, AI is no silver bullet when it comes to protecting assets and organisations should be thinking about cyber augmentation, rather than just the automation of cyber security alone. Areas where AI can currently be deployed include the training of a system to identify even the smallest behaviours of ransomware and malware attacks before it enters the system and then isolate them from that system. Other examples include automated phishing and data theft detection which are extremely helpful as they involve a real-time response. Context-aware behavioural analytics are also interesting, offering the possibility to immediately spot a change in user behaviour which could signal an attack.
The COVID crisis has skyrocketed the applications of artificial intelligence -- from tackling this global pandemic, to being a vital tool in managing various business processes. Despite its benefits, AI has always been scrutinised for its ethical concerns like existing biases and privacy issues. However, this technology also has some significant sustainability issues – it is known to consume a massive amount of energy, creating a negative impact on the environment. As AI technology is getting advanced in predicting weather, understanding human speech, enhancing banking payments, and revolutionising healthcare, the advanced models are not only required to be trained on large datasets, but also require massive computing power to improve its accuracy. Such heavy computing and processing consumes a tremendous amount of energy and emits carbon dioxide, which has become an environmental concern. According to a report, it has been estimated that the power required for training AI models emits approximately 626,000 pounds (284 tonnes) of carbon dioxide, which is comparatively five times the lifetime emissions of the average US car.
Video game fans frequently try to crown one favorite or another as "The Best." There are tens of thousands of words scattered across the internet, all devoted to identifying the titles that represent the absolute pinnacle of games one can play. There's also no consensus: My dull experience is another person's transcendent awakening. Even the basic definition of "best" and how it's applied to one or a list of games is open to debate. Instead of trying to crown a set of games as the one-size-fits-all best video games of all time, I turned to the members of Mashable's games-loving team and asked them to share what they considered the best games for them. No other context given, and no guidance as to how "best" should be measured.
Python is undoubtedly the one of the popular programming language of the present IT world. Learning Python programming language is a wonderful experience and being a Python developer opens up the door for number of job opportunities. One way to learn Python and gain expertise in this programming language is to start working on Python projects. Moreover, project-based learning helps to improve student's knowledge. When it comes to building your career as a Python developer, it is must for developers to work on their own projects that boost their confidence about the skills set they have learnt. So this article discusses about top 11 Python projects that every aspiring Python learners can develop themselves to become an efficient Python developer.
The Trump administration has reportedly awarded a contract to a California-based tech startup to set up hundreds of "autonomous surveillance towers" along the U.S.-Mexico border to aid its immigration enforcement efforts. U.S. Customs and Border Protection (CBP) announced on Thursday that the towers, which use artificial intelligence and imagery to identify people and vehicles, were now a "program of record" for the agency and that 200 would be deployed along the southern border by 2022. CBP did not mention the contract in its announcement, though the Washington Post reported that the effort includes a five-year agreement with Anduril Industries, a tech startup backed by investors such as Peter Thiel. Anduril executives told the Post that the deal is worth hundreds of millions of dollars. The company, which specializes in AI and other technologies, is valued at $1.9 billion, according to Bloomberg News.
This top S&P 500 stocks forecast is designed for investors and analysts who need predictions for the whole S&P 500. Package Name: Top S&P 500 Stocks Recommended Positions: Long Forecast Length: 3 Months (4/1/2020 – 7/1/2020) I Know First Average: 32.03% The greatest return came from ABMD at 75.82%. NVDA and ETFC also performed well for this time horizon with returns of 44.61% and 42.98%, respectively. The overall average return in this Top S&P 500 Stocks package was 32.03%, providing investors with a 11.47% premium over the S&P 500's return of 20.56% during the same period.
This stock scanner is part of the Risk-Conscious Package, as one of I Know First's equity research solutions. We determine our aggressive stock picks by screening our algorithm daily for higher volatility stocks that present greater opportunities but are also riskier. Package Name: Aggressive Stocks Forecast Recommended Positions: Long Forecast Length: 3 Months (4/1/2020 – 7/1/2020) I Know First Average: 100.66% The highest trade return came from NVAX, at 486.89%. NLS and DPW followed with returns of 259.77% and 213.26% for the 3 Months period.
This forecast is part of the Options Package, as one of I Know First's algorithmic trading tools. Package Name: Options Recommended Positions: Long Forecast Length: 1 Month (5/31/2020 – 7/1/2020) I Know First Average: 13.93% I Know First's State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Options Package for the 1 Month time period. OSTK was the highest-earning trade with a return of 63.69% in 1 Month. Additional high returns came from DVAX and RH, at 35.78% and 19.72% respectively.