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Showing posts from June, 2021

Phishing Attacks Now a Focus for AI Cybersecurity Tools 

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By John P. Desmond, AI Trends Editor     AI cybersecurity tools are beginning to focus on a rising number of phishing attacks, which involve fraudulent messages aimed at getting the victim to reveal sensitive information or to unwittingly deploy malicious software.     Attackers used fears related to COVID-19 to ramp up. In the spring of 2020, Google reported blocking 100 million phishing emails a day meant for the 1.5 billion users of Gmail, according to an account from the BBC. Google reported its machine learning tools can block virtually all the attacks. Another observer, Barracuda Networks, offering security products, said it had seen a 667% increase in malicious phishing emails during the pandemic.     The pandemic accelerated a trend towards an increasing number of phishing websites, aimed at tricking the user into giving up confidential information. Phishing websites detected by Google have increased in number by 13% every year since 20...

Hyperconnectivity, Not Well Understood, Ties All Smart Devices 

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By John P. Desmond, AI Trends Editor     Hyperscale computing refers to an agile method of processing data, which can scale processing capacity up or down depending on requirements of data traffic.     The approach is being enhanced with hyperscale application-specific integrated circuits (ASICs) that combine AI/machine learning accelerators with switch fabric systems on a chip (SoCs).      A related term, hyperconnectivity, was originally coined by Canadian social scientists to refer to the condition of humans in networked organizations and societies of being always connected by a variety of electronic means.      In computer networking today, hyperconnectivity refers to all things communicating through the network, encompassing person-to-person, person-to-machine and machine-to-machine communications. This scenario has been enabled by huge increases in network bandwidth and with the introduction of IoT sensors and the AI syst...

AI Seen as Unstoppable Force in Food Retail 

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By AI Trends Staff   AI is proving to be an unstoppable force in food retail, shaping the future of supermarkets and grocery stores.     Many innovations tried during the pandemic were concluded to have value and so are continuing, as consumers broadened in-store shopping with online e-commerce to combine the two in new ways.   “The pandemic that we’ve all experienced became a strategic imperative for every organization to leverage data, analytics, and artificial intelligence to make things better,” stated Milen Mahadevan, president of the Kroger-owned data company 84.51°, at the recent virtual FMI Midwinter Executive Conference , as reported in SmartBrief   “Ultimately, almost everything can be improved by leveraging data,” he stated.   Several tech trends involving AI in the grocery business were evident at the event:       Fresh food has become an important differentiator, best tailored to the complexities and dynamic natur...

Texas Instruments to buy Micron's Utah factory for $900 million

(Reuters) -Texas Instruments Inc will buy Micron Technology Inc's factory in Lehi, Utah, for $900 million to boost its production capacity, the Dallas-based chipmaker said on Wednesday. Micron in March had said it would sell that facility, as it confirmed plans to end production of a certain type of memory chip made there exclusively. Texas Instruments said it plans to deploy its own technologies at Lehi, adding that it would offer workers at the site the opportunity to become its employees. Shares in Micron were down about 2% in extended trading, while those in Texas Instruments were nearly flat. "This investment ... is part of our long-term capacity planning," Texas Instruments Chief Executive Officer Rich Templeton said in a statement. ... Read More on Datafloq

Micron sales beat expectations as chip supplies remain tight, prices high

By Stephen Nellis (Reuters) -Micron Technology Inc on Wednesday beat Wall Street estimates for quarterly profit and forecast fourth-quarter revenue above expectations, as tight supplies of memory chips and continued strong demand kept prices high. The chipmaker forecast current-quarter revenue of $8.2 billion, plus or minus $200 million, while analysts on average were expecting $7.87 billion, according to IBES data from Refinitiv. Micron makes NAND memory chips that serve the data storage market and DRAM memory chips that are used in data centers, smartphones and other computing devices. It has benefited from the pandemic-induced global shift toward remote work as demand for laptops and other electronic devices soared. In prepared remarks, Micron Chief Executive Sanjay Mehrotra said the company expects industry-wide supplies of both kinds of chips to remain tight until the ... Read More on Datafloq

Cybersecurity firm SentinelOne valued at nearly $11 billion in public debut

By Krystal Hu and Sohini Podder (Reuters) -Shares of security software provider SentinelOne Inc jumped 21.4% in their U.S. stock market debut on Wednesday, giving the company a market capitalization of nearly $11 billion. Its shares opened at $46 and finished the day at $42.5, above their initial public offering (IPO) price of $35, indicating investors' interest in fast-growing software companies in a week flooded with IPOs. SentinelOne sold 35 million shares to raise about $1.23 billion in the IPO. It had earlier planned to sell 32 million shares priced between $31 and $32 per share. "We're reaching a certain scale in our business, and we desire to be a trusted and transparent vendor as a public company," SentinelOne Chief Executive Tomer Weingarten said in an interview. ... Read More on Datafloq

Israeli charged in global hacker-for-hire scheme wants plea deal -court filing

By Raphael Satter, Christopher Bing and Joel Schectman WASHINGTON (Reuters) - An Israeli private detective detained in New York since 2019 on charges of involvement in a hacker-for-hire scheme wants a plea deal, according to a letter filed in court by his lawyer. The unusual case has revealed the impacts of a secretive but thriving cyberespionage industry in India. Federal prosecutors say the jailed detective, Aviram Azari, organized a series of hacking missions through unnamed third parties against American companies based in New York, using fake websites and phishing messages to steal email account passwords. While the indictment does not identify the hackers by name, five people familiar with the case say that Azari is being charged in relation to New Delhi-based BellTroX InfoTech Services https://ift.tt/2UHrNsr, which ... Read More on Datafloq

World Wide Web source code NFT sells for $5.4 million at Sotheby's

By Elizabeth Howcroft LONDON (Reuters) - A blockchain-based token representing the original source code for the World Wide Web written by its inventor Tim Berners-Lee sold for $5.4 million at Sotheby's in an online auction on Wednesday, the auction house said. The source code was sold in the form of a non-fungible token (NFT) - a kind of crypto asset https://ift.tt/3drbB7O which records ownership of digital items. The NFT was created by the English scientist Berners-Lee in 2021 and represents https://ift.tt/2U8YOQL ownership of various digital items from when he invented the World Wide Web in 1989. To be sure, the World Wide Web itself has not been sold. What was sold was a blockchain-based record of ownership of files containing the original source code for the World Wide Web. The ... Read More on Datafloq

How AI is Helping Mastercard, Siemens, John Deere 

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By AI Trends Staff   AI is having an impact in business, government and healthcare. But nowhere is it having more impact than for the biggest companies with the most resources.   Advantages big companies have include access to lots of data and funds to buy smaller companies with the expertise to do something innovative and profitable with the data. Each company has had to decide on the best way to leverage AI for their business.      Ed McLaughlin, Chief Emerging Payments Officer, Mastercard “The question is how do you use AI right or use it wisely,” stated Ed McLaughlin, Chief Emerging Payments Officer for Mastercard , at the recent EmTech Digital event on AI and big data, as reported in MIT Sloan Review . “The biggest lesson learned is how to take these powerful tools and start backwards from the problem,” McLaughlin stated. “What are the things you’re trying to solve for, and how can you apply these new tools and techniques to solve it better?” ...

Fouled Timestamps on Mars Helicopter Ingenuity Have Lessons for Autonomous Cars 

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By Lance Eliot, the AI Trends Insider   Have you ever glanced at a snapshot and asked someone when they took that photo? I’m sure that you have. You wanted to place the picture into a context of date and time. Maybe the photo was snapped years ago and showcases the past. Or perhaps the picture is quite recent and displays the way things are today. All in all, knowing when a photo was taken can be useful and at times essential.       In the computer field, we often refer to timestamping things.       When a computer is hooked up to a camera, the taking of a picture is usually accompanied by adding a timestamp to the collected image. The timestamp merely indicates the date and time of the picture. This can be stuffed inside the data that contains the actual image or might be added as a supplemental piece of metadata that otherwise describes or indexes the photo.   If a series of photos are being taken, the timestamp begins to be extre...