List of Govt Jobs Opening for Females

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List of Govt Jobs Opening for Females

Border Security Force (BSF)final_ucb_656_182_-1_9flipkart big billion saleflipkart bigbillion sale

Meritorious Person (Male & Female), 196 Posts, 10th, All Ove
r India Within 30 Da
Border Security Force (BSF)

Veterinary Assistant Surgeon (Male & Female), 28 Posts, Graduation, All Over India 19/10/2016

Jharkhand Police
Constable (Band) Male & Female, 20 Posts, 10th, Jharkhand 15/10/2016

UP Police
Constable (Sports Quota) Male & Female, 200 Posts, 10th/12th, Uttar Pradesh 24/10/2016

Staff Selection Commission (SSC)
Constable (Executive) Male/Constable (Executive) Female, 4669 Posts, 12th, Delhi 10/10/2016

Border Security Force (BSF)
Meritorious Sportsperson (Male (160) & Female (36)), 196 Posts, 10th, All Over India 09/10/2016

Delhi Police
Constable (Executive) Male/Constable (Executive) Female, 4669 Posts, 12th, Delhi 10/10/2016
Detail

ek kavita

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कोई नही है पास मेरे

मेरा अपना कोई नही

सब बेगाने है इस दुनिया में

अपना सहारा कोई नही

अब ज़िन्दगी भी कटती नही क्या करे

और मौत भी हमारे बस में नही

 

Your smartphone could soon act as a glaucoma testing device – Engadget

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Your smartphone could soon act as a glaucoma testing device – Engadget

 

It should only take about five minutes per eye, and the results are supposedly straightforward and easy enough to understand. They’re even shareable with your eye doctor. The idea here is to make it easier to monitor the progress of the disease and augment, rather than replace, traditional testing methods. The folks at Cambridge Consultants also hope that it’ll have a positive impact in developing countries where traditional medical procedures and facilities aren’t readily available. At around £20 ($26.53), it could be the most cost effective method, too.

 

 

Smartphone app uses science to tell you whether your apple is ripe for eating – Los Angeles Times

 

Scientists have developed a handheld device that uses a tiny sensor to instantly determine the ripeness of a piece of fruit — no squeeze test necessary. It could be a game-changer for grocery shoppers who feel the need to fondle several pieces of fruit in the store before deciding what ultimately makes it into the shopping cart. (You know who you are.) The new instrument, described this week in Scientific Reports, is a small and inexpensive spectrometer, which can be constructed for just under $250 and interfaces wirelessly with a smartphone. A spectrometer is a scientific tool that splits light signals into many components. Scientists use it to measure light that is emitted, absorbed or scattered by materials, which in turn helps them identify and study those materials. Astronomers use spectrometers to determine the chemical makeup of stars, planets, comets and asteroids. Geologists use them to understand the composition of terrestrial rocks. They can also be used to study certain types of bacteria and other biological compounds that emit light.  Spectrometers have traditionally been quite expensive, costing several thousands of dollars. They have also generally been too large to use outside of a laboratory setting and require a laptop to operate.  To shrink the instrument, the research team incorporated a spectrometer chip made with micro-electro-mechanical systems, or MEMS, technology that has drastically reduced the size of spectrometers. This allowed the team to build the first research-grade spectrometer that is about the size of a typical garage door opener. To test its effectiveness, the science team decided to see how well it was able to detect the ripeness of a piece of fruit. It turns out there is a relationship between the ultraviolet fluorescence of chlorophyll in the skins of fruits like apples, oranges and bananas and the softness of the fruit inside. Using a spectrometer to measure the fluorescence of chlorophyll allows scientists to tell whether the fruit is ready to eat, or if it could use a few more days to reach prime sweetness. Although spectroscopy has not yet been used to determine fruit ripeness in the field, it has frequently been used in the lab. “Ripeness testing using spectrometers is non-destructive and very fast,” said Anshuman Das, a postdoctoral researcher at the MIT Media Lab and coauthor of the new study. “It does not involve much sample preparation, so it’s an attractive approach.”  For their study, Das and his colleagues used the device on about 100 apples. For each test, they held the spectrometer against the skin of the fruit and then activated an LED light built into the device. The chlorophyll in the apples’ skin re-emitted the light in an ultraviolet wavelength that was measured by the instrument. Those measurements were sent to a smartphone, which was able to analyze the information and determine whether the fruit was ripe. To see if the device was effective on all types of apples, the researchers ran experiments on three varieties with different coloration patterns.   The spectrometer-cum-ripeness-detector worked best on Golden Delicious apples because their green and yellow skin has the most chlorophyll and gives off the strongest fluorescence signal.  Next came mixed-colored McIntosh apples, which have regions of red and green. The device did a better job of determining ripeness when aimed at the green spots rather than the red ones. Finally, the researchers tested Empire apples, which are entirely red and thus had the largest concentrations of pigments that can mask the chlorophyll signal.  Das said the group’s spectrometer worked the worst on the red apples, but added that he and his colleagues are already working on new techniques that could improve these results.  The study authors say their new device could help farmers determine the optimal time to harvest fruit, or help them rapidly sort apples in storage facilities based on their ripeness. Consumers might someday use a mini-spectrometer to “see” how ripe a piece of fruit is without touching it, or to identify bruising or other damage that is not visible to the naked eye.  Das said the device could have lots of other applications, too. It’s possible that it could be used by geologists in the field, educators in the classroom, and even healthcare professionals to diagnose medical conditions in patients who live far from a lab with a traditional spectrometer.  The team has no plans to bring it to market anytime soon, but they have released an open-source platform with all the information needed to replicate and further develop the device.

 

Your Smartphone Is Becoming An AI Supercomputer – Fast Company

 

IPhone owners will get an upgrade on September 13 that allows them to find a picture of nearly anyone or anything, anywhere and from any time. Neural network artificial intelligence in the new iOS 10 performs 11 billion calculations in a tenth of a second on each photo snapped to figure out who people are and even what mood they’re in. iOS 10’s new Photos app is only the latest example of a growing movement toward handheld artificial intelligence. Aipoly, an app released in January, recognizes objects and speaks their names aloud to blind people. Google Translate can replace text in one language with another language as soon as you point your camera at it. All this happens even if you can’t get cell reception. Aipoly identified not only the animal, but the breed. It says the name aloud and displays it. Just as “the cloud” was becoming the answer to every “How does it work?” question, smartphones have started clawing back their independence, performing on their own tasks that used to require a tether to a server farm. The result is a more natural AI experience, without the annoying or creepy lag of an internet connection to a data center. “If I said, ‘Hey Siri, what is this?’ it would take two seconds to send a picture to the cloud [and get a response back],” says Aipolycofounder Alberto Rizzoli. “It kinda feels like talking to someone who just woke up.” Aipoly was not the first seeing app for the blind; it was the first to identify objects instantly by cutting its dependence on the cloud and running AI on a phone. Such instantaneous AI will take augmented reality far beyond Pokémon Go by accurately mapping the surroundings in detail to insert rich 3D objects, characters, and animations into the video feed on a phone or tablet screen. Likewise, virtual reality will start looking more genuine with mobile AI, according to Gary Brotman, director of product management at mobile chip maker Qualcomm, where he heads the machine learning platform. “To do that right, everything has to be totally realtime,” he says. “So you have to be able to present the video, present the audio, and have the intelligence that drives the eye-tracking, the head tracking, gesture tracking, and spatial audio tracking so you can map the acoustics of the room to that virtual experience.” This behind-the-scenes view shows how Aipoly rapidly considers the likelihood of different options. AI will also drive convenience features. You might see virtual assistants that use the phone’s camera to recognize where you are, such as a specific street or the inside of a restaurant, and bring up relevant apps, says Rizzoli. And for once, such hyper-conveniences may not have the creep factor. If future AI doesn’t need the cloud, then the cloud doesn’t need your personal data. “For privacy reasons, for latency reasons, for a variety of others, there’s no reason why the locus of control for analytics and intelligence shouldn’t be on the [phone],” says Brotman. AI Inside What’s brought the power of AI to handhelds? Video games. “People want better mobile games on their phones and their iPads,” says Rizzoli. “So Apple has been particularly good, and so has Qualcomm and the other chip manufacturers, in making better performance.” That’s pushed the development of more powerful mobile CPUs and Graphics Processing Units. While CPUs mostly work sequentially, GPUs work in parallel on the simpler but very numerous tasks required for quickly rendering 3D graphics. AI also requires performing multiple straightforward duties in tandem. Take what’s called a “convolutional neural network”—a staple of modern image recognition. Modeled on how the brain’s visual cortex works, CNNs divide the visual field into overlapping tiles and then, in tandem, filter out simple details such as edges from all of these tiles. That info goes to another layer of neurons (biological in humans or virtual in software), which might combine edges into lines; another layer might recognize primitive shapes. Each layer (of which their may be dozens) further refines the perception of the image. “You’re looking at a photo, and you’re identifying various elements of it at the same time,” says Rizzoli. “You’re identifying edges, and you’re identifying what shapes [might exist]. And all of this can be done in parallel.” Google Translate in action Smartphone chips have been up to the challenge for a few years. Even 2013’s iPhone 5s supports the new people, scene, and object recognition upgrade in iOS 10; and Aipoly is working on versions that will run on the iPhone 5 as well as Android phones going back several years. But programmers have just recently been taking advantage of this power. Photo effects app Prisma, which launched in June, has been one of the early adopters. Twenty-five-year-old Aleksey Moiseenkov created the app, which renders a smartphone photo in a choice of over 30 artistic styles, such as “The Scream,” “Mondrian,” and many with playful titles like “Illegal Beauty,” “Flame Thrower,” and “#GetUrban.” The effects are rendered nearly instantaneously, which belies their complexity. An Instagram filter simply tweaks basic parameters like color, contrast, brightness, or white balance in pre-set amounts. Prisma has to analyze the image, recognize elements like shapes, lines, colors, and shading, and redraw it from scratch like Edvard Munch or Piet Mondrian might. The results can be gorgeous, making even a banal picture intriguing. A profoundly dull photo, at left, transformed with Prisma’s Paper art style, at right. Prisma initially did all this work in the cloud, but Moiseenkov says that could hurt the quality of the app. “We have a lot of users in Asia,” he says, “and we need to give the same experience no matter what the connection is, wherever the server or cloud processing is.” A new version of the iPhone app that came out in August runs entirely on the phone, and Moiseenkov is working on the same shift for the Android version. An upgrade that applies the same artistic effects to video is coming, too, possibly in September, says Moiseenkov. “Video is much more complicated in terms of overloading the servers and all that stuff,” he says, so doing effects right on the phone is crucial. An upcoming version of Prisma transform video as well as photos. Moiseenkov and his team had to figure out from scratch how to get their AI software working on smartphones, but future programmers might have an easier time. In May, Qualcomm came out with a software developer’s kit called the “Neural Processing Engine” for its Snapdragon 820 chip, which powers 2016’s high-end Android phones, like the Samsung Galaxy S7 and Note 7, Moto Z and Z Force, OnePlus 3, HTC 10, and LG G5. The software juggles tasks between the CPU, GPU, and other components of the chip for jobs like scene detection, text recognition, face recognition, and natural language processing (understanding conversational speech rather than just rigid commands). Specialized AI chips are also arriving. A company called Movidius makes VPUs—vision processing units—optimized for computer vision neural networks. (This week, chip giant Intel agreed to acquire it.) Its latest Myriad 2 chip runs in DJI’s Phantom 4 drone, for instance, helping it spot and avoid objects, hover in place, and track moving subjects like cyclists or skiers. DJI’s Movidius-powered Phantom 4 drone can find its own way. Using only about one watt of power, the Myriad 2 would be thrifty enough to run in a phone, too. Movidius has made a few vague statements about future products. In June, it announced “a strategic partnership to provide advanced vision processing technology to a variety of VR-centric Lenovo products.” These could be VR headsets or phones, or both. Back in January, Movidius and Google announced a collaboration “to accelerate the adoption of deep learning within mobile devices.” I asked Movidius and Google about the deals, but they wouldn’t say anything more. The iBrain Apple has been characteristically coy about its AI plans, not saying much before it previewed iOS 10 in June. The AI-powered Photos app is the biggest component. It uses neural networks for the deep learning process that recognizes scenes, objects, and faces in pictures to group them and make them searchable. Its Memories feature puts together collections of pictures and videos based on people in them, places or what it judges to be a significant event, like a trip. Doing all this work on the phone keeps personal information private, says Apple. AI-generated Memories collections in iOS 10 Neural networks also power Apple’s predictive typing that helps finish sentences, and AI appeared well before iOS 10. Apple switched Siri over to a neural network running on the phone back in July 2014 to improve its speech recognition. Siri is how most app makers will plug into the iPhone’s AI, for now. Apple hasn’t released AI-programming tools for its A series chips the way Qualcomm has for Snapdragon, but a feature called SiriKit lets developers connect their apps so people can interact with the apps by chatting with Apple’s virtual assistant. And Apple may not be far behind Qualcomm in helping third-party developers leverage AI. It recently spent a reported $200 million on a company called Turi that makes AI tools for programmers. Developers will have more power to work with, too. The new A10 Fusion chip in the iPhone 7 and 7 Plus has a CPU that runs 40% faster than in the previous generation iPhones, and the graphics run 50% faster. As artificial intelligence continues expanding across the tech world, it seems destined to grow on phones, too. Expectations are rising that gadgets will simply know what we want and what we mean. “I can say that the large percentage of mobile apps will become AI apps,” says Nardo Manaloto, an AI engineer and consultant focused on health care apps like virtual medical assistants. Alberto Rizzoli expects to see a lot of new apps by CES in January. App creators “will follow…when more tools for deep-learning software become available, and the developers themselves become more aware of it,” he says. “It’s still considered to be a dark magic by a lot of computer science people…And it’s not.”

 

 

Next lesson of english

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amazon addNow you can answer it like the following way  और आप इस तरह भी उत्तर दे सकते है
I am fine. How about you?  मैं ठीक हूँ आप कैसे है ?
अथवा
I am fine too. मैं भी ठीक हूँ

Third  Lesson

Introducing someone  किसी से परिचय करवाने के  लिए
I would like you to meet qaiser.   इनसे मिलिए ये है कैसर .
Aman this is Shayam.  अमन ये श्याम है
After  introduction you can say परिचय के बाद आप कह सकते है

Nice to meet you.
Pleased to meet you.//ws-in.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&MarketPlace=IN&source=ac&ref=qf_br_asin_til&ad_type=product_link&tracking_id=qaserwordpres-21&marketplace=amazon&region=IN&placement=B00CS1HH14&asins=B00CS1HH14&linkId=&show_border=true&link_opens_in_new_window=true
Good to meet you.
Fourth Lesson
When you say Bye to some one
It was nice to see you.
It was a pleasure meeting you.
Nice talking to you.
It has been fun talking to you.
Sorry,but I have to leave now.
I am off now. Thanks for everything.
After that you can say
Bye .
Good Bye.
o.k.
See you.
See you then.
See you some other time.
See you tomorrow.
Or in simple you can say
Good Day.
Good night.
Fifth Lesson
To wish someone
Good luck
All the best
Or on special occasion
Happy birthday.
Happy diwali
Happy newyear.
Or if someone wishes you then you can say
Thank you
Thanks
To congratulate some one
Congratulation
congratulate
To praise some one
Good
Very nice
Nice work
Good job
Good work

And you can answer it  आप इस तरह भी बोल सकते है
Thank you
You can start it from these words  आप इन शब्दों से भी शुरू कर सकते है
1. Are you crazy          क्या आप paagअल हो ?
2. Have you gone mad क्या तुम  पागल हो चुके हो
3. As you say  जैसा तुम कहो
4. As you wish जैसी आपकी इक्षा
5. Almost लगभग
6. Enough पर्याप्त है
7. One more  एक और
8. One more thing  एक चीज़ और
9. Once more एक  बार और
10. Vary hot  बहुत गर्म है
11. Very cold बहुत ठंडा है
12. Ok no problem ठीक है कोई परेशानी नहीं
13. I don’t care  मुझे परवाह नहीं
14. Nothing कुछ नहीं
15. No where कही नहीं
16. Nobody कोई नहीं
17. Nobody here  यहाँ कोई नहीं है
18. Coming आ रहे  है
19. If possible यदि संभब हो
20. If necessary  यदि आवशयक हो
21. What do you mean क्या मतलब है आपका
22. When? कब
23. Where? कहाँ
24. What?  क्या
25. How     कैसे
26. What for?किस लिए
27. For what? किस लिए
28. About what? किसके बारे में
29. For whom? किसके लिए
30. From where? कहाँ से
31. Don’t know नहीं जानता
32. I don’t know मई नहीं जानता
33. I know  मैं जानता हु
34. Do you know? क्या तुम जानते हो
35. Don’t you know क्या तुम जानते हो
36. How do you know   तुम कैसे जानते हो
37. I think so मैं ऐसा सोचता हु
38. I don’t think so  मैं ऐसा नहीं सोचता
39. Do you think so? क्या तुम ऐसा सोचते हो
40. Don’t you think so? क्या तुम ऐसा नहीं सोचते हो
41. What do you think? तुम क्या सोचते हो
42. Its too much ये बहुत अधिक है
43. Nice अच्छा
44. Nice weather  अच्छा मौसम है
45. No doubt कोई शक नहीं
46. No doubt about it इस बारे में कोई शक नहीं
47. True सच
48. Impossible  नामुमकिन
49. It seems ऐसा लगता है
50. Such is life यही है ज़िन्दगी
51. Anything else? कुछ और
52. Nothing else कुछ नहीं
53. You want something? आप को कुछ चाहिए ?
54. Want a  taste? स्वाद चखना चाहते हो /
55. Why not? क्यों नहीं
56. What else?  और क्या ?
57. Who else? और कोन
58. Don’t remember याद नहीं
59. Don’t worry   चिंता की बात नहीं
60. No need  to worry चिंता की कोई बात नहीं
sentences which help you to start  वे वाक्य जो इंग्लिश बोलना प्रारंभ करने में आपकी मदद कर सकते है .
जब आप किसी  से मिले तो उसका परिचय प्राप्त करने के लिए  ये ज़रूरी नहीं की आप पूरा वाक्य बोले  थोड़े से भी आपका काम चल जायेगा 
• Your name   आपका नाम ?
• Your  address
• Your mobile no
• Your e mail address
• Your occupation
You can also add please like
Your name please?
Some simple words which are very useful in daily life
• Stop
• Go
• Come
• Pull
• Push
• Start
• Run
• Look
• Listen
• Think
• Remember
• Smile

First Lesson Of English

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कौन कहता है की आसमान मे छेद नही होता एक पत्थर तो तबीयत से उच्छलो यारो
अगर आप भी कुछ सीखना चाहते है तो ज़रूरत है बस एक शुरुआत की  बस तो मन मे ठान लो ओर शुरू हो जाओ
हिम्मत ओर सब्र से काम लो ओर अपनी झिझक से बाहर निकलो   फिर मंज़िल  दूर नही
हम आपकी मदद करेंगे बस रोज़ कुछ देर अभ्यास करे ओर प्रयास करे की अधिक से अधिक शब्दो को प्रयोग दिन प्रतिदिन

चलिए शुरुआत करते है
सभी शब्दो का हिन्दी अनुवाद भी देने का प्रयास किया है
जब आप किसी से मिलते है तो
Hello
Hi
And you can also say
Good morning
Good afternoon
Good evening
नमस्कार
नमस्ते
और आप यह भी कह सकते हैं
सुप्रभात
गुड ऑफ़्टरनून
शुभ संध्या