In an inexorably digitized world, cyber attacks are growing in volume, ending up considerably more complicated. With more organizations utilizing the web for their very own focal points, cybercriminals are searching for approaches to infiltrate security safeguards. Artificial intelligence gives instant insights so that organizations can come to an obvious conclusion regarding dangers significantly more effectively, lessening response times and making a business' security more compliant. Machine learning, then again, is an algorithm fit for perceiving designs in new information with the goal that the machine can learn as a matter of fact. Artificial intelligence text analysis enhances the capacity to monitor and distinguish criminal movement.

Hal Abelson, a renowned computer scientist at the Massachusetts Institute of Technology, was working the classroom, coffee cup in hand, pacing back and forth. The subject was artificial intelligence, and his students last week were mainly senior policymakers from countries in the 36-nation Organization for Economic Cooperation and Development. Mr. Abelson began with a brisk history of machine learning, starting in the 1950s. Next came a description of how the technology works, a hands-on project using computer-vision models and then case studies. The goal was to give the policymakers from countries like France, Japan and Sweden a sense of the technology's strengths and weaknesses, emphasizing the crucial role of human choices.

A top Google executive recently sent a shot across the bow of its competitors regarding face surveillance. Kent Walker, the company's general counsel and senior vice president of global affairs, made it clear that Google -- unlike Amazon and Microsoft -- will not sell a face recognition product until the technology's potential for abuse is addressed. Face recognition, powered by artificial intelligence, could allow the government to supercharge surveillance by automating identification and tracking. Authorities could use it to track protesters, target vulnerable communities (such as immigrants), and create digital policing in communities of color that are already subject to pervasive police monitoring. So how are the world's biggest technology companies responding to this serious threat to privacy, safety and civil rights?

You sit down to watch a movie and ask Netflix for help. Zoolander 2?") The Netflix recommendation algorithm predicts what movie you'd like by mining data on millions of previous movie-watchers using sophisticated machine learning tools. And then the next day you go to work and every one of your agencies will make hiring decisions with little idea of which candidates would be good workers; community college students will be largely left to their own devices to decide which courses are too hard or too easy for them; and your social service system will implement a reactive rather than preventive approach to homelessness because they don't believe it's possible to forecast which families will wind up on the streets. You'd love to move your city's use of predictive analytics into the 21st century, or at least into the 20th century. You just hired a pair of 24-year-old computer programmers to run your data science team. But should they be the ones to decide which problems are amenable to these tools? Or to decide what success looks like? You're also not reassured by the vendors the city interacts with.

Last year's tax reform spurred stronger-than-expected car sales by giving consumers more disposable income, but the payback will come this spring when many Americans could discover they're not getting the tax refund they had expected. Why it matters: Car sales are a key driver of the U.S. economy, and the industry sees a big uptick every spring as consumers turn their tax refund into a deposit on a new or used car. Without that seasonal bounce, 2019 auto sales may be lower, making a recession more likely. Background: Cox Automotive chief economist Jonathan Smoke spoke to reporters on the eve of this week's Detroit auto show and made some points... What's happening: Some consumers may be surprised to learn they are receiving no tax refund in 2019, a smaller one than expected or that they might even owe the government money, Smoke says. The bottom line: Cox Automotive, the digital information giant behind AutoTrader, Kelly Blue Book and Manheim Auto Auctions, sees U.S. auto sales falling to 16.8 million units in 2019.

A driverless public shuttle is expected to make its Utah debut this year as state officials test the possibilities of autonomous vehicles. The Salt Lake Tribune reports the shuttle that holds about a dozen people is expected to begin operating in February at the state Capitol. It will initially travel sidewalks since autonomous cars aren't street legal. A state lawmaker is hoping to change that. Republican Rep. Robert Spendlove is proposing a bill that would allow autonomous vehicles on state roads and resolve other legal problems.

A research team led by investigators from the National Institutes of Health and Global Good has developed a computer algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence (AI) approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings. To develop the method, researchers used comprehensive datasets to "train" a deep, or machine, learning algorithm to recognize patterns in complex visual inputs, such as medical images. The approach was created collaboratively by investigators at the National Cancer Institute (NCI) and Global Good, a fund at Intellectual Ventures, and the findings were confirmed independently by experts at the National Library of Medicine (NLM). The results appeared in the Journal of the National Cancer Institute on January 10, 2019.

Digital transformation is more than just a buzzword, and it's got some real-life enterprise support. A report by Tech Pro Research found that 70 percent of companies either have a digital transformation strategy in place or are working on one. Further, IT digital transformation budgets increased from 2016 to 2017 for 53 percent of survey respondents. Digital transformation projects that succeed are usually an enterprise-wide effort "best served by a leader with broad organizational purview," according to the latest "State of Digital Transformation" report by Altimeter, a Prophet company. CIOs mostly own or sponsor digital transformation initiatives (28 percent), with CEOs increasingly playing a leadership role (23 percent).

Researchers from the National Institutes of Health and Global Good have developed an artificial intelligence (AI) based computer algorithm that can identify cervical pre-cancer with greater accuracy than a human expert. The algorithm, called automated visual evaluation, can analyse digital images of a cervix and accurately identify precancerous changes that require medical attention, an advance the researchers say could revolutionise screening, particularly in low-resource settings. The new method can be performed with minimal training, making it ideal for countries with limited healthcare resources, where cervical cancer is a leading cause of illness and death among women. According to the researchers, automated visual evaluation is easy to perform. Health workers can use a cell phone or similar camera device for cervical screening and treatment during a single visit.

In the world of science and technology, it is being said that we are at the beginning of the Fourth Industrial Revolution. The first that lasted from 1760 to 1840 brought in the age of mechanized production. It was the result of new materials like iron and steel, which combined with new energy resources of coal and steam, led to'mass production', and a factory system with division of labor. The second industrial revolution from 1870 to the early part of 20th century was the result of electricity, and the internal combustion engine. Both powered industrial machines and made transport possible.