Here’s a timelapse of images over 2.5 hr from May from @keckobservatory of the supermassive black hole Sgr A*. The black hole is always variable, but this was the brightest we’ve seen in the infrared so far. It was probably even brighter before we started observing that night! pic.twitter.com/MwXioZ7twV— Tuan Do (@quantumpenguin) August 11, 2019 Scientists aren’t quite sure why this strange flash occurred, but it’s apparently nothing to be concerned about. Speaking to ScienceAlert, Tuan Do (an author on the study which spotted the bright light) said the flash could be the result of another star (S02) passing close by, thereby changing the way gas flows into the black hole. Another working theory is the flash was caused by G2, a gas cloud which also recently passed close (36 light-hours) to the black hole in 2014. There is a possibility this is a delayed reaction to that event. 3 Other teams and telescopes, such as Spitzer, Swift, Chandra, and ALMA, have also been observing Sagittarius A*. Do is curious to see if they too spotted the strange emission. Perhaps that data can help shed new light on this strange burst of infra-red light. Taken when I was @keckobservatory, this raw image shows the brightest Sgr A* has ever been observed in the infrared (center). The emission associated with the black hole also changed by a factor of 75 over that night. Is Sgr A* waking up? Will we finally see 🎆? pic.twitter.com/lX7ZO2PhX2— Tuan Do (@quantumpenguin) August 8, 2019 16 Photos What is a black hole? The universe’s dark, mysterious monsters Tags Sci-Tech Culture Robin Dienel/Carnegie Institution for Science In news that reads like the beginning of a dire science fiction novel Sagittarius A*, the supermassive black hole at the centre of our galaxy, has emitted a large burst of infrared radiation brighter than anything ever produced by that black hole. The black hole is well-known to scientists, and was one of the subjects of our first ever efforts to image the cosmic beasts, but its still throwing up new mysteries all the time.After observing for over four days using the Keck II Telescope in Hawaii, a team that has been studying Sagittarius A* for 20 plus years noticed the infrared light increased by 75 times. Comments Share your voice
India’s largest drug-maker Sun Pharmaceutical Industries Ltd reported a 30% slump in quarterly profit on Saturday, 7 November, as sales in most of its markets fell and costs related to fixing compliance issues continued to hurt.In the company’s largest market, the United States, Sun Pharma’s sales in the quarter ended September were down 28%, which the company attributed mainly to increasing competition and a supply crunch at its Halol manufacturing plant in India.”Halol” was a key contributor to Sun Pharma’s sales, but in September, the US Food and Drug Administration (FDA) outlined a number of problems with manufacturing processes, and the company has since been working on remediating those.However, its profit has been hit for a few quarters as it had to restrict supply, and has not been getting US approvals to launch any product made at the Halol plant.The company’s Managing Director Dilip Shanghvi sought to assure analysts on a conference call on Saturday evening that remediation efforts were on track, though they aren’t yet complete, so the USFDA has not been invited for a re-inspection.”We are keeping (the FDA) updated on the progress at the agreed frequency. I think the things we have promised or assured the FDA, we are addressing,” he said. The company has not received any feedback from the FDA, he added.Halol is one of several Sun Pharma plants undergoing remediation. Five of its other plants â€” most of which it got as part of its acquisition of Ranbaxy Laboratories Ltd last year â€” are under an FDA import ban ever since the agency found a series of quality control issues at the plants.Shanghvi said the “full value” of the Ranbaxy deal would be realised by 2018.Apart from generics, the company is developing a drug to treat “psoriasis”, which is in Phase 3 clinical trials and expected to be filed for US approval in 2017.Sun Pharma reported a July-September net profit of Rs 1,107 crore ($167.4 million), down from Rs 1,572 crore a year earlier. Analysts, on average, were expecting Rs 1,308 crore, according to Thomson Reuters data.Total revenue was down 15% as sales across the countries it operates in fell. India was the only exception, where sales rose a marginal 1%.The company said currency volatilities and a decision to reduce its presence in some less-profitable areas hurt its sales in emerging and other markets during the quarter.
A five-story residential building tilted at Khalifaghat in the city’s Kamrangirchar area on Monday, reports UNB.Dana Mia, an operator of Fire Service and Civil Defence control room, said being informed by locals, a team of firefighters went to the spot around 12:44pm and all the residents of the building were evacuated.UNB Keraniganj Correspondent reports that residents of four more adjacent buildings of the area were also evacuated fearing danger.Shahin Fakir, officer-in-charge of Kamrangirchar police station, said the five-story building was built in the area six months ago and one Samad Mia bought the building from its previous owner Shaheen in January.The firefighting unit members said the building was built without doing the pilling work properly.
Kolkata: The narcotics cell of detective department has arrested two persons, including a woman, and seized heroin worth Rs 4 lakh from them at Pragati Maidan area on Friday.Officials claimed that the arrested persons had planned to sell the drug to students from various educational institutions in the city. On Monday, a woman was arrested near a renowned school on AJC Bose Road with 3 kg ganja. According to a source, sleuths of detective department recently got a tip-off that some drug dealers were targeting students of various schools and colleges. Working on the information, they identified Munni Das, who had come to AJC Bose road, to sell ganja to some students on Monday afternoon. She was arrested immediately and sleuths seized 3 kg ganja from her possession. Also Read – Bose & Gandhi: More similar than apart, says Sugata BoseAfter Das was questioned, sleuths used their sources to search for some more drug dealers who were a part of this racket. On Thursday, police got a tip-off that some drug dealers were going to meet at a place in Pragati Maidan area. Based on the information, members of the narcotics cell of the detective department kept an eye in the area. In the evening, some sleuths spotted a woman. One of them identified the woman as Sabina Bibi a known drug peddler. The other person was identified as Bapi Molla who had come to meet Bibi. Also Read – Rs 13,000 crore investment to provide 2 lakh jobs: MamataBoth of them were arrested by the police. They were taken to the detective department office at Lalbazar. During search, sleuths found about 4,300 multi-coloured small packets of heroin. About 460 grams of heroin worth more than Rs 4 lakh was seized by the police. During interrogation, the police found that Bibi was the supplier of the drug. Molla used to get commission from her to sell the drug to students of several schools and colleges in Sealdah, Entally and Anandapur areas.
Click to Enlarge+ Register Now » Growing a business sometimes requires thinking outside the box. 1 min read August 22, 2013 Free Webinar | Sept. 9: The Entrepreneur’s Playbook for Going Global According to data compiled by online security company Hotspot Shield, 12.6 million people were victims of identity theft last year, losing a total of $21 billion.With a problem that big, it’s important to know not only how hackers can find your personal or business information, but how to protect yourself.The infographic below illustrates the most common ways hackers access data and the mistakes consumers make that leave them vulnerable to becoming victims. Opinions expressed by Entrepreneur contributors are their own.
YouTube is at the center of content creation, content distribution, and advertising activities for some time now. The impact of YouTube can be estimated from the 1.8 billion YouTube users worldwide. While the YouTube video hosting concept has been a great success story for content creators, the video viewing and recommendation model has been in the middle of a brewing controversy lately. The Controversy Logan Paul was already a top rated YouTube star when he stumbled across a hanging dead body in a Japanese forest which is famous as a suicide spot. After the initial shock and awe, Logan Paul seemed quite amused and commented “Dude, his hands are purple,” then he turned to his friends and giggled. “You ever stand next to a dead guy?”. This particular instance was a shocking moment for YouTubers all across the globe. Disapproving reactions had poured in and the video was taken down 24 hours later by YouTube. In those 24 hours, the video managed to garner 6 million views. Even after the furious backlash, users complained that they were still seeing recommendations of Logan Paul’s videos. That brought the emphasis back on the recommendation system that YouTube uses. YouTube Video Recommendation Back in 2005, when YouTube first started out, it had a uniform homepage for all users. This meant that every YouTube user would see the same homepage and the creators who would feature there, would get a huge boost in their viewership. Their selection was based on their subscriber count, views and user engagement metrics e.g. likes, comments, shares etc. This inspired other users to become creators and start contributing content to become a part of the YouTube family. In 2006, YouTube was bought by Google. Their policies and homepage started evolving gradually. As ads started showing on YouTube videos, the scenario changed quite quickly. Also, with the rapid rise in the number of users, Google had thought it to be a good idea to curate the homepage as per each user’s watch history, subscriptions, and likes. This was a good move in principle since it helped the users to see what they wanted to see. As a part of their next level innovation, a machine learning model was created to suggest or recommend videos to users. The goal of this deep neural network based recommendation engine was to increase watch time of every video so that users stay longer on the platform. What did it change and How When Youtube’s machine learning algorithm shows a few videos in your feed as “Recommended for you”, it predicts what you want to see from your watch history and watch history of similar users. If you interact with any of these videos and watch it for a certain amount of time, the recommendation engine considers it as a success and starts curating a list based on your interactions with its suggested videos. The more data it gathers about your choices and watch history, the more confident it becomes of its own video decisions. The major goal of Youtube’s recommendation engine is to attract your attention and get you hooked to the platform to get more watch time. More watch time means more revenue and more scope for targeted ads. What this changes, is the fundamental concept of choice and the exercising of user discretion. The moment the YouTube Algorithm considers watch time as the most important metric to recommend videos to you, less importance goes into the organic interactions on YouTube, which includes liking, commenting and subscribing to videos and channels. Users get to see video recommendations based on the YouTube Algorithm’s user understanding and its goal of maximizing watch time, with less importance given to user choices. Distorted Reality and YouTube This attention maximizing model is the fundamental working mechanism of mostly all social media networks. But YouTube has not been implicated in the accusation of distorting reality and spreading the fake news as much as Facebook has been in mainstream media. But times are changing and so are the viewpoints related to YouTube’s influence on the global population and its ability to manipulate important public opinion. Guillaume Chaslot, a 36-year-old French computer programmer with a Ph.D. in artificial intelligence, was one of those engineers who was in the core team to develop and perfect the YouTube algorithm. In his own words “YouTube is something that looks like reality, but it is distorted to make you spend more time online. The recommendation algorithm is not optimizing for what is truthful, or balanced, or healthy for democracy.” Chaslot explains that the algorithm never stays the same. It is constantly changing the weight it gives to different signals; the viewing patterns of a user, for example, or the length of time a video is watched before someone clicks away.” Chaslot was fired by Google in 2013 over performance issues. His claim was that he wanted to bring about a change in the approach of the YouTube algorithm to make it more aligned with democratic values instead of being devoted to just increasing the watch time. Where are we headed I am not qualified or righteous enough to answer the direct question – is YouTube good or bad. YouTube creates opportunities for millions of creators worldwide to showcase their talent and present it to a global audience without worrying about country or boundaries. This itself is a huge power for an internet application. But the crucial point to remember here is whether YouTube is using this power to just make the users glued to the screen. Do they really care if you are seeing divisive content or prejudiced flat earther conspiracies as recommended videos? The algorithm can be tweaked to include parameters which will remove unintended bias such as whether a video is propagating fake news or influencing voters minds in an unlawful way. But that is near impossible as machines lack morality or empathy or even common sense. To incorporate humane values such as honesty and morality into an AI system is like creating an AI that is more human than a machine. This is why machine augmented human intelligence will play a more and more crucial role in the near future. The possibilities are endless, be it good or bad. Whether we progress or digress, might not be in our hands anymore. But what might be in our hands is to come together to put effective checkpoints to identify and course correct scenarios where algorithms rule wild. Read Next Sex robots, artificial intelligence, and ethics: How desire shapes and is shaped by algorithms Like newspapers, Google algorithms are protected by the First amendment California replaces cash bail with algorithms