Trump loyalist Sen. Lindsey Graham calls attack on Saudi oil installations an 'act of war'

The Japan Times

WASHINGTON – Several U.S. lawmakers urged caution Tuesday in countering recent attacks on Saudi oil installations, but Trump loyalist Sen. Lindsey Graham branded the incident an "act of war" that merits a decisive response. Graham said it was "clear" that such a sophisticated attack -- drones firing missiles into the world's largest processing plant and an oilfield in Saudi Arabia -- could only have originated with direction and involvement from the "evil regime in Iran." "This is literally an act of war and the goal should be to restore deterrence against Iranian aggression which has clearly been lost," Graham said in a statement. The Republican lawmaker and trusted Trump ally tweeted that Washington should consider an attack on Iran's oil refineries in response, a move that he said "will break the regime's back." Graham has been a defense hawk for years, and he noted that Trump's "measured response" to Iran shooting down an American drone in June "was clearly seen by the Iranian regime as a sign of weakness." A classified briefing book on the attacks was made available to U.S. senators in a secure location in the U.S. Capitol.

New Yorkers get first official look at Google's Pixel 4:Tech giant promotes handset in Time Square

Daily Mail - Science & tech

Google has gone to new heights in order to promote its next-generation Pixel handset. Hanging atop the 49-story Marriott Marquis building in Time Square is an advertisement that gives the first official glimpse at a coral-colored Pixel 4. The promotion also encourages consumer to remind their Google Assistant about its hardware event, set to take place October 15th, where the phone will be unveiled. Hanging atop the Marriott Marquis building in Time Square is an ad that gives the first official glimpse of a coral-colored Pixel 4. The promotion also encourages consumer to remind their Google Assistant about its hardware event, where the phone will be unveiled The hardware event will take place in the Big Apple, where Google will reveal intricate details of its Pixel 4 and Pixel 4 XL – which are set to take on Apple's latest iPhone 11. Rumors have also suggested that Google could announce other devices, including new Google Home Speakers and a Pixelbook 2. Google posted cropped renders of two sleek black devices to its Twitter page. The images appear to show a square module on the back of the phone.

Microsoft president pens book on impact of AI, rising cyberattacks and more - ET CIO


What is the impact of Artificial Intelligence (AI) on our lives? How can we combat increasing cyberattacks? Is the threat to digital privacy real? Co-written by Carlon Ann Browne, director of communications at Microsoft, the book released on September 10. The book claims not to be a self-glorifying "Microsoft memoir", but a "candid and eye-opening investigation into the most divisive issues facing tech companies and governments today -- cyberwar, privacy, mass surveillance, undermining of democracy, AI, diversity".

The Rise of the Term "MLOps"


"MLOps (a compound of Machine Learning and "information technology OPerationS") is [a] new discipline/focus/practice for collaboration and communication between data scientists and information technology (IT) professionals while automating and productizing machine learning algorithms." The understanding of the machine learning lifecycle is constantly evolving. When I first saw graphics illustrating this "cycle" years ago, the emphasis was on the usual suspects (data prep and cleaning, EDA, modeling etc…). Less notice was given to the more elusive and less tangible final state -- often termed "deployment", "delivery" or in some cases just "prediction". At the time, I don't think a lot of rising data scientists really considered the sheer scope of that last term (I sure as hell didn't).

McDonald's Is Acquiring AI Startup Apprente


McDonald's is acquiring Apprente, a startup which uses artificial intelligence (AI) to understand speech in multiple languages. The technology will be used in the company's drive-thrus and could also be used in its self-order kiosks and a mobile app. This is McDonald's third tech deal this year. There is a new self-checkout shopping cart that makes grocery shopping easier. When you are shopping with a Caper cart, all you have to do is scan the item barcode and simply add it to your cart.

Oracle Introduces Exadata X8M


SAN FRANCISCO, September 17, 2019 -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.

AI, Machine Learning, and CPM: Experts Answer Your Burning Questions


One is a renowned German Corporate Performance Management (CPM) analyst, the other is the head of a global CPM company. We sat down with two influential figures in the international CPM market and asked them five questions about CPM, technology, and the future. As new technologies continue to unfold, the future of CPM is ever-changing. Many finance professionals and executives are left wondering: Which technologies are simply a fad and which have the potential to turn the world on its head? Why not let the experts speculate?

TC3 SPONSOR SERIES: Finding Needles in a Haystack with Graph Databases and Machine Learning Telecom Council Blog


You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, "What is Machine Learning and why is it so important?". Answering her question, I explained how Machine Learning is part of AI, where we teach machines to reason and learn like human beings. I used the example of fraud detection. In many ways catching fraud is like finding needles in a haystack – you must sort and make sense of massive amounts of data in order to find your "needles" or in this case, your fraudsters.

The Seven Patterns Of AI


From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many. However, regardless of the application of AI, there is commonality to all these applications. Those who have implemented hundreds or even thousands of AI projects realize that despite all this diversity in application, AI use cases fall into one or more of seven common patterns. The seven patterns are: hyperpersonalization, autonomous systems, predictive analytics and decision support, conversational/human interactions, patterns and anomalies, recognition systems, and goal-driven systems. Any customized approach to AI is going to require its own programming and pattern, but no matter what combination these trends are used in, they all follow their own pretty standard set of rules.

Using Artificial Intelligence/Machine Learning to Detect Domain Generation Algorithms


The use of domain generation algorithms (DGAs) to spread malware is on the rise. A key reason why is because DGAs are notoriously hard to detect using conventional security methods. But just what makes them so elusive? And how can security professionals stay ahead of them? That's just some of what you'll learn when you download Using Artificial Intelligence/Machine Learning to Detect Domain Generation Algorithms.