At the time of Google's birth, in 1998, Microsoft was in mortal combat with the Department of Justice, which had launched an epic antitrust suit against Bill Gates and his minions. Microsoft was accused of being a behemoth that dominated the entire industry. The DOJ won the suit, although it failed to break up the company as it had hoped. But it did hobble the Redmond, Washington giant in its efforts to dominate the world. Google was one of the companies that benefited.

Clearview says its software lets authorities plug in photos of people suspected of involvement in crimes and search for other images of their faces from the internet. The company has compiled a massive database of photos by scraping websites, including social-media platforms. Some of the platforms have accused Clearview's scraping efforts of violating their terms of service. Facebook Inc., Twitter Inc. and Microsoft Corp.'s LinkedIn are among those that have sent the startup cease-and-desist orders. Civil libertarians have raised concerns broadly about the use of facial-recognition by law enforcement, and specifically about Clearview.

Technology is always scrutinized under the lens of scepticism. Despite the many advancements, Artificial Intelligence and its subsidiaries are contributing to; the biases in algorithms remain the biggest challenge amongst experts. Specifically, if the technology is integrated into the draconian laws, the infringement of human rights gets amplified. George Floyd's death casts a shadow on the misuse of technology by authorities. And while tech organizations have apprehended about the negative impact of the technology in society, some organizations are perilously using this technology.

AI driven auto-tagging helps tame the data swamp, uncovering data semantics and relationships between siloed data assets. Data lineage is critical to an AI driven enterprise driving all business decisions while maintaining regulatory compliance. It is als...

Google's influence in our lives is overwhelming, which is perhaps one of the reasons the Department of Justice and several state attorney generals banded together to file an anti-trust lawsuit against the company. But just how wide is Google's reach? We decided to take a look, and the results may surprise you. Start with the fact that Google ads are all over the Internet, and despite the initial stated goal of "organizing the world's information," the Alphabet unit is designed to have more ads appear, to keep the earnings up. In its most recent earnings, Alphabet reported $38.30 billion for Google.

WASHINGTON (Reuters) - The White House Office of Management and Budget (OMB) said Friday that federal agencies will use artificial intelligence to eliminate outdated, obsolete, and inconsistent requirements across tens of thousands of pages of government regulations. A 2019 pilot project used machine learning algorithms and natural language processing at the Department of Health and Human Services. The test run found hundreds of technical errors and outdated requirements in agency rulebooks, including requests to submit materials by fax. OMB said all federal agencies are being encouraged to update regulations using AI and several agencies have already agreed to do so. Over the last four years, the number of pages in the Code of Federal Regulations has remained at about 185,000.

Autonomous vehicle design involves an almost incomprehensible combination of engineering tasks including sensor fusion, path planning, and predictive modeling of human behavior. But despite the best efforts to consider all possible real world outcomes, things can go awry. More than two and a half years ago, in Tempe, Arizona, an Uber "self-driving" car crashed into pedestrian Elaine Herzberg, killing her. In mid-September, the safety driver behind the wheel of that car, Rafaela Vasquez, was charged with negligent homicide. Uber's test vehicle was driving 39 mph when it struck Herzberg. Uber's sensors detected her six seconds before impact but determined that the object sensed was a false positive.

Most data organisations hold is not labeled, and labeled data is the foundation of AI jobs and AI projects. "Labeled data, means marking up or annotating your data for the target model so it can predict. In general, data labeling includes data tagging, annotation, moderation, classification, transcription, and processing." Particular features are highlighted by labeled data and the classification of those attributes maybe be analysed by models for patterns in order to predict the new targets. An example would be labelling images as cancerous and benign or non-cancerous for a set of medical images that a Convolutional Neural Network (CNN) computer vision algorithm may then classify unseen images of the same class of data in the future. Niti Sharma also notes some key points to consider.

Robots that analyse a defendant's body language to determine signs of guilt will replace judges by the year 2070, according to an artificial intelligence expert. Writer and speaker on AI Terence Mauri believes the machines will be able to detect physical and psychological signs of dishonesty with 99.9 per cent accuracy. He claims they will be polite, speak every known language fluently and will be able to detect signs of lying that couldn't be detected by a human. Robot judges will have cameras that capture and identify irregular speech patterns, unusually high increases in body temperature and hand and eye movements. Terence Mauri (pictured) is an AI expert, author and founder of Hack Future Lab, a global think tank.

A man engaged in internet-related reputation management has said that former Justice Minister Katsuyuki Kawai requested the deletion of personal computer data shortly after an alleged vote-buying scandal involving him and his wife, Anri, came to light last year. According to a statement of confession made by the man, read out by prosecutors during a hearing Monday as part of the trial of Anri Kawai at Tokyo District Court, Katsuyuki Kawai, 57, a lawmaker in the House of Representatives, met with the man at the former minister's residence in a dormitory for Diet members in Tokyo on Nov. 3 last year. At the time, Katsuyuki Kawai told the man that staff at his office may have taken some data without authorization, and that he wanted to delete any data that could cause a problem if it was leaked, the man said in the statement. On that day, Katsuyuki Kawai allegedly deleted PC data at his residence using data deletion software purchased by the man, according to the statement. The man also said he visited Kawai's office in Tokyo and the couple's offices in Hiroshima Prefecture the following day to delete PC data there.