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Conference leaders this year acknowledged "incidents of insensitivity at past conferences" and issued stricter rules banning harassment, bullying underwear machine Manufacturers and sexualised clothing and activities.But they resisted changing the name as recently as October when they released a survey of more than 2,000 attendees — mostly men — that found most were OK with it. That led Anandkumar to start a Twitter hashtag to step up the pressure.Katherine Heller, a Duke professor and Google researcher who helps lead a new conference committee on diversity and inclusivity, said it helped that some of the industry’s leaders also weighed in. Google AI chief Jeff Dean, for instance, tweeted that "enough people are made to feel uncomfortable by the current name."The conference board relented and announced on Nov. 16 that the new acronym would be NeurIPS. It urged participants to respect it and get back to focusing "on science and ideas."Organisers moved the conference to a new website, printed new signs and booklets and hired a branding company to design a new logo, though the transition isn’t complete.

 At the same time, it offered more amenities — such as child care — and more panels devoted to addressing bias and inclusion — both in the industry and the technology it creates.The changes prompted Anandkumar to tweet that she experienced a "feeling of belonging" for the first time in years. She said she hopes it signals a "retu of civility" to the field.Heather Ames Versace, who had criticised the board for being "tone deaf," said the rebranding will help change the world’s perception of the tech industry and encourage young women to join it. Versace, the co-founder of AI startup Neurala, said that despite improvements, a lot more needs to be done to make AI reflective of society, not just the small group of people working on it."With AI, we’re creating technologies that lea and make decisions in the real world," Versace said. "We need to make sure they represent a diverse set of opinions."Breast Cancer is the leading type of cancer in women. According to WHO, one in every 8 women in US is at the risk of developing a breast abnormality in her life time.

 It is well-established that early diagnosis is very critical in saving a life of a cancer patient. While most olden methods take time and requires physical inspection to detect the cancer, many get informed pretty late, which could cause trauma in their lives. Early detection of breast cancer is crucial and today’s technology can come to the rescue.NIRAMAI says "AI has the potential to revolutionise healthcare delivery". NIRAMAI Health Analytix is a Bangalore-based deep-tech startup addressing critical healthcare problems through automated solutions. At NIRAMAI, engineers have developed a new cancer screening software that uses machine intelligence over thermography images to enable a low cost, easy to use, portable solution and requires minimal human supervision. Their solution can detect cancer at a much earlier stage than traditional diagnostic methods and self-examination and can therefore improve survival rates. This method of breast cancer screening can detect tumors 5 times smaller than what clinical exam can detect, is non-contact, painless and free of any radiation, apart from being low-cost, and universally accessible. Using this solution, women of all age groups can undergo frequent screening without any side-effects.

According to Ashwini Bhide, managing director, MMRC, all TBMs will reemerge by the end of 2019.The TBM weighs around glove machine Manufacturers tonnes with a diameter of 6.4 metres, the 100-metre-long machine will help in building a tunnel of finish size of 5.8 metre. The 33.5-km-long underground corridor will be made operational by December 2021.Mumbai: The Mumbai crime branch has busted a gang of thieves for targeting several gullible people by fraudulently withdrawing money from their accounts, using ATM machines. The two members of the gang arrested by the police are brothers. The officials said that the arrested accused would divert the attention of the person, right after they punched in the password by telling them that the ATM machine was not working.The duo has been identified as Satendra Mishra (32) and his brother, Bhupendra (35), both residents of Amethi in Uttar Pradesh.

It’s unlikely that anyone but the most extreme wine connoisseur will need to track wine-preserving argon gas levels in a half-finished bottle of pinot noir. But a maker of bottle-opening gadgetry, Coravin, lets you do just that. The device needles wine out of a bottle without pulling the cork. What’s new is connectivity and an app, so you’re alerted when the gadget needs cleaning or a new battery. All this reflects a cottage industry striving to imbue every last household appliance or wearable item with connectivityWhat one person considers a silly idea is another person’s breakthrough, and many innovations displayed at CES could find long-term commercial success among niche audiences even if they aren’t widely adopted, said technology analyst Tom Coughlin, president of Coughlin Associates. "Some stuff is before it’s time.

Some stuff is partially thought through," Coughlin said. But you never know, he said, because "sometimes people don’t know what they need until they see it." At CES, Coughlin said, "you see the hopes and dreams, the fantasies, both mad and sublime and clever things that people can think of doing."In the Netherlands, start-up entrepreneurs often look mockingly back to a late-1990s video that asked random people in Amsterdam if they ever wanted a mobile phone, said Stefan Witkamp, co-founder of smart home startup Athom B.V."Now it’s unthinkable not to have your smartphone," said Witkamp, whose company’s Homey product links various connected devices to a single system. Similar scepticism now affects smart devices, he said.The reality is that it’s a lot easier to connect an appliance to the inteet than it is to build "Rosie," the robotic maid that TV cartoon show "The Jetsons" launched into the world’s imagination a half-century ago.

Samsung is one of the world's leading manufacturers of home appliances, smartphones and other tech products, including batteries and memory chips.In the current recall, the company is offering consumers a choice between a free repair and a rebate toward the purchase of a new washing machine. Consumers who purchased an affected model in the last 30 days are being offered a full refund.The recall affects 34 models of top-loading washing machines manufactured between 2011 and this year. They were sold at Best Buy, The Home Depot, Lowes, Sears and other stores for prices between $450 and $1,500.When Twitter reported glove machine for sale its firs quarter eaings last year, it came way under expectations. The company’s 2016 eaings — $595 million was way less compared to what the analysts expected. According to a report published by The Verge, Twitter’s stock fell more than 12 per cent at that time.

It’s not a secret anymore: Twitter is facing problems. The social media giant has struggled to maintain a positive outlook ever since and things have become even more complicated especially given how well apps like Instagram and Snapchat have been doing.However, Twitter CEO Jack Dorsey is pretty positive about bringing about a change. Speaking to investors at the Goldman Sachs Technology and Inteet conference in San Francisco, he says that the company is gradually shifting its focus to AI and machine leaing techniques to cater to its user’s interests. As reported by Mashable, Dorsey said a new emphasis on machine leaing and AI ineally has helped make the service easier to understand and more relevant to its users.

"Twitter is still the best place to get a sense of what’s going on in the world but as we get better and better at applying machine leaing and AI to our system, which we really haven’t done in the past — it’s been very mechanical — it gets easier and easier, and we believe that topics and interests are a big part of that future to make it easier," Dorsey said.At the conference, he further went on talk about the platform’s recently-added "explore" tab which delivers a more personalised experience to its users. "As you exhaust your timeline you can go to explore and you can actually see topics. And the goal is eventually to become a lot more topic-based and interest forward," he added."I think for the majority of our life weve been fairly mechanical and that manifests in making people do the work and now we have a much stronger machine leaing artificial intelligence discipline within the company where we can do things for people.

 The same way cars have to go through crash tests to ensure safety, this method offers a pre-emptive test to catch errors in autonomous systems," he explained.Findings of the study were discussed in China flat knitting machine Suppliers Design, Automation and Test meeting.Typically autonomous vehicles "lea" about the world via machine leaing systems, which are fed huge datasets of road images before they can identify objects on their own.But the system can go wrong. In the case of a fatal accident between a self-driving car and a pedestrian in Arizona last March, the software classified the pedestrian as a "false positive" and decided it didnt need to stop."We thought, clearly there is some issue with the way this perception algorithm has been trained. When a human being perceives a video, there are certain assumptions about persistence that we implicitly use: if we see a car within a video frame, we expect to see a car at a nearby location in the next video frame. This is one of several sanity conditions that we want the perception algorithm to satisfy before deployment," explained Jyo Deshmukh, co-author of the study.

For example, an object cannot appear and disappear from one frame to the next. If it does, it violates a "sanity condition," or basic law of physics, which suggests there is a bug in the perception system.The team of researchers formulated a new mathematical logic, called Timed Quality Temporal Logic, and used it to test two popular machine-leaing tools--Squeeze Det and YOLO--using raw video datasets of driving scenes.The logic successfully honed in on instances of the machine leaing tools violating "sanity conditions" across multiple frames in the video. Most commonly, the machine leaing systems failed to detect an object or misclassified an object.For instance, in one example, the system failed to recognize a cyclist from the back, when the bikes tire looked like a thin vertical line.

 Instead, it misclassified the cyclist as a pedestrian. In this case, the system might fail to correctly anticipate the cyclists next move, which could lead to an accident.Phantom objects--where the system perceives an object when there is none--were also common. This could cause the car to mistakenly slam on the breaks--another potentially dangerous move.The teams method could be used to identify anomalies or bugs in the perception algorithm before deployment on the road and allows the developer to pinpoint specific problems.The idea is to catch issues with perception algorithm in virtual testing, making the algorithms safer and more reliable. Crucially, because the method relies on a library of "sanity conditions," there is no need for humans to label objects in the test dataset--a time-consuming and often-flawed process.

Elaborating more about the objective and its working, Kumar shares, "Atmosphere is one of the biggest China glove machine for sale sources of water and we tend to make very less use of it. Water is a natural resource and everyone has equal access to it, but with the increase in population, many places are in drought. We need to consume lesser groundwater. When I was researching about animals, I found that a particular type of beetle in Africa holds air and when the air touches the body, it condenses to form water. The same due point principle is used in my invention. I analysed the shape and functioning of the beetle and that’s when I perceived the idea for My Ganga."Talking about how My Ganga is different from other vapour converters, Kumar says, "Most converters use coolants and function like an air conditioner or a refrigerator, also producing heat. My Ganga has no coolant and runs with minimal electricity — which is less than 100 W (which is almost as much as what an electric fan needs) and leaves no carbon footprint thereby not harming the environment.

It also works with solar panels and eliminates the need for electricity too!" When asked how the water becomes drinkable after being converted from a polluted air, Kumar responds in ease to that as well. "The vapour condenses and goes through four filters to give a 7.2 pH, drinkable water. It’s tested and safe," he says. The machine can produce upto 25 litres of water per day from just air and it can be used by both industries and households. "Since the humidity changes from place to place, the machine does not work in highly dry places like the Saharan dessert. For a city like Chennai, the machine is suitable for every household," he adds. The higher the relative humidity, the more is the water produced per hour.The product is to hit the market soon and the creator talks about why the name is very important — "Ganga is one of the biggest rivers. We are the people, who are making artificial changes to the natural flow of a river. I want my machine to give water for all and solve the water crisis.

"With winters all set to give you a knock at your door, have you guys prepared to deal with the struggles of skin care during the season? Your feet too require a lot of TLC in the winter!So without further ado, let’s get started and discuss how you can make your feet look nice and pretty this season:Sock it up: China socks machine Manufacturers One of the easiest ways to take care of your feet is by wearing socks. Try to apply a good foot cream (in a circular motion) before you head to bed and cover your feet with socks to retain the moisture. You can even use olive oil or coconut oil on your feet.Foot bath: Another important thing for you is having a good foot bath at least once a week. Just take some lukewarm water and add a few drops of any essential oil along with a few drops of your regular body wash. Voila! You have your own luxurious foot bath. Just soak your feet in it for at least 15-20 minutes before you start rubbing your feet with a help of a soft toothbrush.Stone it: In order to get rid of the dead skin cells on your feet, try to use a pumice stone.

Don’t opt for the metal scrubbers available in the market. The key to soft skin is rubbing your feet gently with the stone. Use it nicely on your heels to make your skin even and soft. Nailed it: It’s very important for you to let your nails breath. Try removing your nail paint every week and avoid coating a new nail paint over the previous shade. It hardly takes five minutes to remove a nail paint but can be a very healthy habit to inculcate.Exfoliate: Simple sugar scrubs can do wonders on your skin. Not only will they help you in getting rid of the dead skin cells but they will also help you in removing tan. Just take two tablespoons of brown sugar, add two teaspoons of olive oil in it. Now scrub your feet with this paste for at least ten minutes before washing it off with cold water. As McAfee analyzes the key findings from 2018 their attention tus to the wider ecosystem. The mobile ecosystem is a feature rich environment. Apps offer the ability to control everything from home heating and lighting to real-time remote SCADA and process control capabilities for plant operators. Today’s statistics are reporting the average person having between 60-90 apps installed on their phone.

What does this mean for the mobile threat landscape?In 2018 McAfee saw a rapid growth in threats against mobile devices and other connected things, in particular during the second half of 2018. The number one threat category was hidden apps which accounted for almost one third of all mobile attacks.Actions to remove hidden apps from the stores have been timely and effective, but adversaries are innovating and adapting threats just as quickly. In McAfee’s first detailed article they look at the TimpDoor malware family bypass the Google Play store by contacting potential victims via SMS. This approach avoids the threat of being removed from the store, and has proven incredibly effective, impacting more victims than the older Android malware families of Guerrilla and Rootnik combined.We have to consider the richness of data available to threat actors from a compromised phone. Last year McAfee discussed the rise of nation states targeting individuals via the mobile platform and the past year has seen a continuation of this approach. In 2018 McAfee saw what they believe is the second campaign from a threat group known as the Sun Team.