41 weird objects seen on Mars, explained Curiosity looked up in late May to capture these noctilucent clouds floating by. NASA/JPL-Caltech It’s just another twilight on Mars. You’re a rover, kicking back after a long day of science, gazing up at the clouds. Sometimes it’s the simple moments that are the most stunning.NASA’s Curiosity rover has been in skygazing mode lately, sending back ethereal visions of noctilucent (night shining) clouds. Curiosity team member Claire Newman highlighted the rover’s late-May sky view in a mission update on Wednesday. Mars rovers NASA Space The night-shining clouds are beautiful, but they can also tell scientists a lot about what’s happening up above the rover, including how much water vapor there is in atmosphere. Curiosity isn’t the only NASA machine that enjoys a bit of cloud-watching. The InSight lander shared some soothing cloud images earlier in the year. Curiosity is currently checking out a clay-rich area in the Gale Crater and recently sent back a fresh selfie. So what’s next? More science and more beautiful days on Mars. Sci-Tech 0 Post a comment Share your voice The noctilucent clouds are “so high that they’re still illuminated by the sun, even when it’s night at the surface and any lower cloud layers are already in shadow,” Newman wrote. Mars is heading into a cloudy season, making this a prime time for watching the atmosphere.Image processors Justin Cowart and Seán Doran gifted us a video version of the recent clouds that makes it feel like you’re standing on Mars. Tags See wispy clouds drift across the sky on Mars NASA’s Insight sees cloudy days on Mars, so why does it never rain? More clouds on Mars 43 Photos
People from the Baramulla constituency of North Kashmir turn out to vote despite reports of violence and threats in the regionTwitter/ Ieshan WaniAn on-duty sub-divisional magistrate (SDM) was allegedly thrashed by Indian Army men on the Jammu-Srinagar National Highway in Jammu and Kashmir. According to reports, Ghulam Rasool Wani was also on duty for Lok Sabha elections in the South Kashmir constituency.Wani had to report at a polling booth in Anantnag and was travelling along with four other election officers in a vehicle on the Srinagar-Qazigund stretch of the highway. Wani told Indian Express that the vehicle was stopped at three security checkpoints but was eventually allowed to travel on the highway during the security forces’ convoy movement. “They noticed the SDM sign on our car and let us go,” Wani said.However, at the fourth checkpoint, an Indian Army soldier interrupted the poll officers and refused to let them reach their location. “He asked us to come out of the vehicle. And as soon as we came out, he dragged me by the collar and dragged me on the road for 20 metres. The fellow soldiers pointed their guns at the poll officers and even snatched my cellphone,” Wani added.Wani said that the Indian Army men assaulted all the staff members and threatened them at gunpoint. Indian army soldiers patrol a street near a site of a gunbattle between Indian security forces and militants in South Kashmir.Representational image | ReutersThe SDM said as soon as he reasoned with the soldiers that they were government officers doing their regular duties, the Army men used abusive language and threatened them. “They held us hostage and it was only after the Deputy Commissioner Anantnag interfered that we were set free,” he added.He said that he cannot take the matter casually and has sent a written complaint to the Qazigund police station as well the state election officials.Meanwhile, Army spokesperson Col. Brijesh Kalia said that an investigation has been ordered into the matter. While taking a dig at the armed forces over the incident, former IAS officer-turned-politician and J&K Peoples Movement chairman Shah Faesal tweeted that the news is very unfortunate. He also demanded the registration of an FIR against the erring soldiers by J&K Police. “It is hoped that AFSPA won’t come in the way of IPC/RPC and the action will be taken,” he said.The controversial ban on the civilian vehicular movement on the Jammu-Srinagar National Highway for two days every week, that came into force a few days ago, has been creating a rift between the security personnel and the masses in the valley.
A young man was hacked to death allegedly by his gambling rivals at Shamirpur village in Karnaphuli upazila of Chattogram on Wednesday night, reports UNB.The deceased is Mamun Al-Rashid Sagor, 27, son of Abu Taher of the village.Rafiqul Islam, officer-in-charge of Karnaphuli police station, said two groups locked into an altercation over gambling and drugs.At one stage, opponent group hacked Mamun, leaving him dead on the spot. Police started drive to arrest the accused who were involved in this connection, the OC added.
The Waterfront Partnership of Baltimore is hosting the first Annual Field Day at Rash Field, 201 Key Highway, Baltimore on July 30 from noon to 6 p.m. Attendees will enjoy an afternoon filled with local food vendors, adult beverages and outdoor games and activities. The event is free. Visit waterfrontpartnership.org for more details.
Kolkata: The Trinamool Congress Monday wrote to Union Home Minister Amit Shah alleging that the MHA advisory to the West Bengal government is a “deep-rooted conspiracy” by the BJP and an “evil ploy to grab power” in opposition-ruled states. The BJP, however, termed the allegations baseless and claimed that the law-and-order situation in the state has completely broken down. TMC secretary general and West Bengal minister Partha Chatterjee, in a letter, claimed that the Ministry of Home Affairs has drawn conclusions without verifying the ground reality or taking a report from the state government. Also Read – Rs 13,000 crore investment to provide 2 lakh jobs: Mamata “We, on behalf of the Trinamool Congress, lodge our strong objection to the advisory issued by the MHA and urge that the same be withdrawn forthwith,” he said. In the advisory sent to the West Bengal government on Sunday, a day after BJP and TMC workers clashed in Sandeshkhali area of North Parganas district, the MHA had expressed “deep concern” over the continuing post-poll violence in the state, and asked it to maintain law and order. Criticising the advisory, Chatterjee said, “We have reason to believe that it is an evil ploy to grab power in states run by parties politically opposed to the BJP.” Also Read – Lightning kills 8, injures 16 in state “Moreover, this is a deep-rooted conspiracy and game plan to malign the state government and capture the Bengal administration through undemocratic, unethical and unconstitutional means.” Blaming “BJP goons” for violence and chaos across the state, the TMC leader alleged that as the MHA and the saffron party are being headed by the same person, it is “quite obvious” that “whatever the BJP desires, the MHA is implementing it with closed eyes, throwing all constitutional propriety to the wind”. “In a democracy, the Centre and states work in tandem. Instead of taking the state government into confidence and verifying the ground situation, the unilateral issuance of an advisory by the MHA is an insult to the people of Bengal and an assault on the glory, culture, and heritage of the state,” Chatterjee said. Reacting to the TMC allegation, state BJP president Dilip Ghosh said the MHA was absolutely right in sending the advisory. “The law-and-order situation has completely broken down… The MHA has done the right thing. If the TMC is saying that the Union home minister and the BJP president are the same person, then the same rule applies in Bengal as well. “The chief minister, home minister and party supremo are the same person (in Bengal). So, does that mean all the decisions taken by the state government are politically motivated?” Ghosh said. Senior BJP leader Mukul Roy also accused the state government of not cooperating with the Centre and violating the federal structure. On Sunday night, the West Bengal government sent a letter to the MHA, saying that the situation in the state was “under control”, and there was no failure on the part of its law enforcement agencies. The BJP has claimed that five of its workers were killed in the violence in Sandeshkhali, while the ruling TMC said that one was killed.
In a paper published on February 4, Google engineers drafted out plans to forward federated learning at a scale. It showcases the high-level plans, challenges, solutions, and applications. Federated learning was first introduced in 2017 by Google. The idea is to use data from a number of computing devices like smartphones instead of a centralized data source. Federated learning can help with privacy Federated learning can be beneficial as it addresses the privacy concern. Android phones are used for the system where the data is only used but never uploaded to any server. A deep neural network is trained by using TensorFlow on the data stored in the Android phone. The Federated averaging algorithm by Brendan McMahan uses a similar approach as synchronous training. The weights of the neural network are combined in the cloud using Federated Averaging. This creates a global model which is then pushed back to the phones as results/desirable actions. To enhance privacy approaches like differential privacy and Secure aggregation are taken. The paper addresses challenges like time zone differences, connectivity issues, interrupted execution etc,. Their work is mature enough to deploy the system in production for tens of millions of devices. They are working towards supporting billions of devices now. The training protocol The system involves devices and the Federated Learning server communicating availability and the server selecting devices to run a task. A subset of the available devices are selected for a task. The Federated Learning server instructs the devices what computing task to run with a plan. A plan would consist a TensorFlow graph and instructions to execute it. There are three phases for the training to take place: Selection of the devices that meet eligibility criteria Configuring the server with simple or Secure Aggregation Reporting from the devices where reaching a certain number would get the training round started Source: Towards Federated Learning at Scale: System Design The devices are supposed to maintain a repository of the collected data and the applications are responsible to provide data to the Federated Learning runtime as an example store. The Federated Learning server is designed to operate on orders of many magnitudes. Each round can mean updates from devices in the range of KBs to tens of MBs coming going the server. Data collection To avoid harming the phone’s battery life and performance, various analytics are collected in the cloud. The logs don’t contain any personally identifiable information. Secure aggregation Secure aggregation uses encryption to make individual device updates uninspectable. They plant to use it for protection against threats in data centers. Secure aggregation would ensure data encryption even when it is in-memory. Challenges of federated learning Compared to a centralized dataset, federated learning poses a number of challenges. The training data is not inspectable, tooling is required to work with proxy data. Models cannot be run interactively and must be compiled to be deployed in the Federated Learning server. Model resource consumption and runtime compatibility also come into the picture when working with many devices in real-time. Applications of Federated Learning It is best for cases where the data on devices is more relevant than data on servers. Ranking items for better navigation, suggestions for on-device keyboard, and next word prediction. This has already been implemented on Google pixel and Gboard. Future work is to eliminate bias caused be restrictions in device selection, algorithms to support better parallelism (more devices in one round), avoiding retraining already trained tasks on devices, and compression to save bandwidth. Federated computation, not federated learning The authors do no mention machine learning explicitly anywhere in the paper. They believe that the applications of such a model are not limited to machine learning. Federated Computation is the term they want to use for this concept. Federated computation and edge computing Federated learning and edge computing are very similar, there are but subtle differences in the purpose of these two. Federated learning is used to solve problems with specific tasks assigned to endpoint smartphones. Edge computing is for predefined tasks to be processed at end nodes, for example, IoT cameras. Federated learning decentralizes the data used while edge computing decentralizes the task computation to various devices. For more details on the architecture and its working, you can check out the research paper. Read next Technical and hidden debts in machine learning – Google engineers’ give their perspective Researchers introduce a machine learning model where the learning cannot be proved What if AIs could collaborate using human-like values? DeepMind researchers propose a Hanabi platform.