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Saudi-led coalition hits Houthi-held areas in renewed air raids

Al Jazeera

Fighter jets belonging to a Saudi-led coalition battling Yemen's Houthi rebels have launched dozens of air raids on several Yemeni provinces, as the kingdom announced the start of a new military operation. The Houthi-run Al Masirah Media Network reported air raids on the capital, Sanaa, as well as Marib, al-Jouf, al-Bayda, Hajjah and Saada provinces throughout Wednesday and into the night. It said an elderly woman and a child were killed and four others wounded in Saada province. In Sanaa, residents described the air raids, which also struck the city's international airport, as "violent". Saudi state television reported earlier on Wednesday that the coalition had begun a military push against the Houthis after the group stepped up cross-border missile and drone attacks on the kingdom.

IIT Hyderabad Researchers Use Machine Learning Algorithms To Study Supply Chain Network Of Biofuels


IIT Hyderabad Researchers are using computational methods to understand the factors and impediments in incorporating biofuels into the fuel sector in India. This work has been spurred by the increasing need to replace fossil fuels by bio-derived fuels, which, in turn, is driven by the dwindling fossil fuel reserves all over the world, and pollution issues associated with the use of fossil fuels. The model developed by the IIT Hyderabad team has shown that in the area of bioethanol integration into mainstream fuel use, the production cost is the highest (43 per cent) followed by import (25 per cent), transport (17 per cent), infrastructure (15 per cent) and inventory (0.43 per cent) costs. The model has also shown that feed availability to the tune of at least 40 per cent of the capacity is needed to meet the projected demands. A unique feature of this work is that the framework considers revenue generation not only as an outcome of sales of the biofuel but also in terms of carbon credits via greenhouse gas emission savings throughout the project lifecycle.

AI and Industrial Automation: Don't Count the Incumbents Out


Earlier this month an article in the Financial Times by John Thornhill, the paper's innovation editor, caught my attention. Thornhill was relaying an intriguing set of ideas expressed by the authors of a new book, What To Do When Machines Do Everything? Before discussing the future impact of today's unfolding industrial innovations such as driverless cars, robotic surgery, precision agriculture, or automated beer service (as in the photo above), the three authors – Malcolm Frank, Paul Roehrig, and Ben Pring – make their first key point, citing the example of an early 19th century innovation that enabled an entire industry that generates $620bn. in annual revenues today. What could this invention have been – The steam engine? Theoretically, you might expect not be too far off with any one of these answers, but in fact the invention in question was … the lawnmower.

Why AI Is The Future Of Remote Security Monitoring


Bottom Line: Real-time analysis of remote video feeds is rapidly improving thanks to AI, increasing the accuracy of remote equipment and facility monitoring. Agriculture, construction, oil & gas, utilities, and critical infrastructure all need to merge cybersecurity and physical security to adapt to an increasingly complex threatscape. What needs to be the top priority is improving the accuracy, insight, and speed of response to remote threats that AI-based video recognition systems provide. Machine learning techniques as part of a broader AI strategy are proving effective in identifying anomalies and threats in real-time using video, often correlating them back to cyber threats, which are often part of an orchestrated attack on remote facilities. The future of remote security monitoring is being defined by the rapid advances in supervised, unsupervised, and reinforcement machine learning algorithms and their contributions to AI-based visual recognition systems.

Boston Dynamics will now sell any business its own Spot robot for $74,500


Robotmaker Boston Dynamics has finally put its four-legged robot Spot on general sale. After years of development, the company began leasing the machine to businesses last year, and, as of today, is now letting any US firm buy their very own Spot for $74,500. It's a hefty price tag, equal to the base price for a luxury Tesla Model S. But Boston Dynamics says, for that money, you're getting the most advanced mobile robot in the world, able to go pretty much anywhere a human can (as long as there are no ladders involved). Although Spot is certainly nimble, its workload is mostly limited right now to surveying and data collection. Trial deployments have seen Spot create 3D maps of construction sites and hunt for machine faults in offshore oil rigs.

Top Artificial Intelligence (AI) Companies 2019 and their success stories


Artificial Intelligence (AI) is now enjoying massive acceptance from consumers and organisations worldwide. Hence, more and more companies are stepping up their game by adopting Artificial Intelligence into their functionalities. In this article, we will discuss the absolute wins of the year 2019 in terms of breakthrough AI solutions and their impact. Here are some of the AI success stories and top news for the year 2019. In May 2019, Samsung created a system that could transform facial images into a video sequence.

Formalizing the Field of Data Engineering


Much like we have Chemical Engineering and Electrical Engineering and Mechanical Engineering, it is time to formalize of field of Data Engineering. This is a special two-part series on trends and requirements leading to the formalization of the Field of Data Engineering. "Data is the new oil…in much the same way that oil fueled economic growth in the 20th century, data will fuel economic growth in the 21st century." To further raise the credibility of data as the economic fuel for the next century, "The Economist" Special Report on the Data Economy asks "Are data more like oil or sunlight?" Still, it is hard to put a definitive value on data. If data is to be the fuel for economic growth in the 21st century, don't we need to find a way to accurately determine what data is worth?

Boston Dynamics' robot dog inspects SpaceX site in Texas

Daily Mail - Science & tech

Footage has emerged of one of Boston Dynamics' robotic dogs patrolling a SpaceX test site in the US. The video allegedly shows SpaceX using the $75,000 (£60,000) robotic dog to inspect the aftermath of its test site in Boca Chica, Texas. SpaceX had just been conducting a cryogenic pressure test on the Starship SN7 dome tank prototype, according to Tesmanian. SN7 was filled with sub-cooled liquid nitrogen and it was intentionally pressurised to its capacity before it burst and collapsed on its side. The stainless-steel commercial spacecraft, once operational, will be capable of transporting passengers on long-duration voyages to the Moon and Mars. But until the launch vehicle is ready, Elon Musk's company appears to be employing a little help from a trusty robotic companion.

Can We Achieve Early Earthquake Prediction And Warning?


Earthquakes claimed thousands of lives every decade. Of all-natural calamities, earthquake is the one which is most hard to predict. Even if a man succeeded in doing so, his predictions are vaguely based on the behavior of animals' minutes before the seismic waves hit that geographic region. However, with artificial intelligence algorithms can help us in receiving early warnings of a potential earthquake and be prepared accordingly. Using machine-learning models, seismologists can analyze hordes data on thousands of earthquakes.

Toxic man-made mercury pollution is discovered in the deepest part of the ocean

Daily Mail - Science & tech

Toxic man-made mercury pollution has been discovered in the deepest part of the ocean, in the Marianas Trench -- more than six miles below the surface. Researchers from China and the US used submarine robots to identify mercury in the fish and crustaceans living in the deepest part of the western Pacific Ocean. Mercury enters the atmosphere through the burning of fossil fuels, mining and manufacturing. It can then be transported into the oceans via rainfall. The liquid metal -- which was once used in thermometers before being banned -- is highly toxic and can be ingested via polluted seafood.