Saturday, November 30, 2019

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GATE 2020 schedule released at


GATE 2020 schedule: Indian Institute of Technology Delhi (IITD) has released the Graduate Aptitude Test in Engineering (GATE) 2020 exam schedule on its official website.

Indian Institute of Technology Delhi (IITD) has released the Graduate Aptitude Test in Engineering (GATE) 2020 exam schedule on its official website. Candidates who have applied for the exam can check the exam schedule at
GATE 2020 examinations will be held on February 1, 2, 8, 9. The examinations will be held in Forenoon session (9.30am to 12.30pm and afternoon session (2.30pm to 5.30pm).
According to the schedule, exams of IN, ME1, MT, PE, PH papers will be held in the forenoon session on February 1, while the exams of CY, ME2, PI papers will be held in the afternoon session on the same day.
The exams of AR, BM, BT, CH, MA, MN, ST, XE, XL papers will be held in the forenoon session on February 2, while the exams of AE, AG, EC, GG papers will be held in the afternoon session on the same day.
The exams of EE, EY, TF papers will be held in the forenoon session on February 8, while the exam of CS paper will be held in the afternoon session on the same day.
The exams of CE1 paper will be held in the forenoon session on February 9, while the exams of CE2 paper will be held in the afternoon session on the same day.
Note: Visit the official website of GATE 2020 for latest news and updates on the exam.

Friday, November 29, 2019

ISRO launches Cartostat-3 into Orbit using PSLV

                                 Source: THE ECONOMIC TIMES-28th November,2019


Foreign Universities may get entry through the UGC route

                           Source: THE ECONOMIC TIMES-27th November,2019


Pharma INC agrees to Cap margins on Non-Price control drugs at 30%

                           Source: THE ECONOMIC TIMES-27th November,2019

IIT Madras plans projects to boost learning

                     Source: THE ECONOMIC TIMES-26th November,2019

Central board of secondary education ke zonal dafatir mein mulazimat ke muaqye-Graduate aur deegar faculty ke naujawano ke liye 9 categories ke tehat pur kashish mulazmatein, Asaami no.1 aur 2 maujooda sarkari mulazimeen ke liye mukhtas hain!

                                          Source: INQUILAB-26th November,2019

                                   Last date for online application is -16th December,2019

13 saala nau umar sciencedan aur muajjid ki jaddo jahad ki kahani

                                   Source: INQUILAB-25th November,2019


Ek kamyaab entrepreneur banne ke liye chand mufeed mashware!

                                      Source: INQUILAB-25th November,2019


Manek Pratap Singh,mulk ke kam umartareen judge bane, bagair kisi coaching ke imtehan mein kamyaab

                                 Source: INQUILAB-25th November,2019


Kamyaabi ke liye 3 mashware: Nuqsan se seekhen, Himmat na haren aur kamzori ko taqat banayen

                                     Source: INQUILAB-20th November,2019


Purbachal scientist invents diarrhoea vaccine


The vaccine is all set to be marketed by a global vaccine research and development laboratory
A resident of Purbachal has developed a vaccine to counter bloody diarrhoea. Hemanta Koley of Cluster IX is the lead investigator of a team of scientists at the National Institute of Cholera and Enteric Diseases in Beleghata which has come up with a means to tackle a disease that causes about 125 million to fall sick annually and about 1,60,000 to die.
The vaccine is all set to be marketed by a global vaccine research and development laboratory.
“Shigellosis or bloody diarrhoea is common in areas where people eat raw vegetables or seafood. It is dangerous as just 10 organisms are sufficient to trigger the disease. It is water-borne but people who are in contact with the soil are also at risk. The Shigella bacteria causes cell injury in the large intestine which leads to bleeding. We have patients coming daily to the Infectious Diseases Hospital on our Beleghata premises with complaints of blood and mucous in stool,” said Koley.
Hailing the invention, the Indian Council of Medical Research (ICMR) has stated in a release: “Developing this indigenous vaccine against shigellosis is the need of the hour and is a major breakthrough.”
The reason is not far to seek. There is no medicine to treat this disease except an intravenous injection of an anti-biotic called Ceftriaxone. But if one is resistant to the drug, as it happens in about 10 per cent cases, there is nothing left to be done. “Even if the patient is dehydrated, you cannot administer oral rehydration solution (ORS). His ruptured intestine cannot absorb it,” said Koley.
Children under five and the elderly who have reduced immunity are especially at risk. Koley himself had contracted the disease in his infancy. “I had to defeacate on the floor as I could not squat on the toilet pan, so cramping was the rectal pain with a condition called tenesmus.”
Koley was working in Harvard Medical School as a post-doctoral associate in the gastroenterology department specialising in microbiology and immunology in 2004 when he was hired by NICED with a specific brief to develop the Shigellosis vaccine. “This is the product of 15 years of research since then. I had started with two students. Now 10 students are working with me. NICED director and head of our department Shanta Dutta is also in the team.”
The vaccine will first be tested in European and African countries. “In phase I, the test is done on 10 people and on 100 to 300 in the Phase II. This test is called proof of concept which is done with normal volunteers. It will reach India in Phase III, possibly in 2020, to be available for phase III trials. After that, it will go on sale in the market.”
The facility to which ICMR has licensed the technology is MSD Wellcome Trust Hilleman Laboratories, with which a memorandum of understanding (MoU) had been signed in 2017 after the international patent was registered.
Other than in India, the vaccine, he says, will be especially useful in Bangladesh, Japan and parts of the US where people are at risk. “Since it will have large scale use, I am hoping it will be priced between Rs 10 and 15 so that it will stay within the reach of our poor.

Tool to fight typhoid
Koley has developed another vaccine to combat typhoid and paratyphoid. “These diseases are prevalent in different parts of West Bengal. There was a vaccine for typhoid but none for paratyphoid. What I have developed is a combination vaccine.
Koley believes in oral vaccination. “Mothers do not want their babies to get hurt by injections. Also more antibodies are produced if the enteric organisms are stimulated through the intestine, rather than through muscles, as would be the case for intramuscular injections. Thus a vaccine will work better orally. We have found that to be true in mice, guinea pigs and rabbits.”
His team carries out sensitivity tests on stool samples of patients admitted with dysentery in the Infectious Diseases Hospital to deduce what kind of organism had caused the disease and prepares the patients’ antibiograms. “Antibiograms (a report that shows how susceptible strains of pathogens are to a variety of antibiotics, or more simply which antibiotics will work on a patient and which not) are vital to decide the course of treatment since if patients are administered drugs without knowing what they are sensitive to they might develop drug resistance.”
The scientist initially used to stay in CA Block but shifted to Purbachal to be closer to his Beleghata lab. “I can stay back till any hour. Sometimes I even go in the weekends. Devotion is needed for research.”
He is sad that bright students these days prefer to study engineering than basic science. “It is a way to study less and earn fast and perhaps more. But basic science is the mainstay of technological development,” he points out.
Koley’s dream project is a single vaccine in a single dose. “This will spare mothers the trouble of having to take the baby to the primary health centre multiple times for immunisation against separate diseases. Work has already started in our lab with funding from several agencies across the globe. I hope I shall be able to achieve it before I retire,” smiles the 53-year-old.


2020: Five artificial intelligence trends for engineers and scientists


1. Workforce skills and data quality barriers start to abate 
As AI becomes more prevalent in industry, more engineers and scientists – not just data scientists – will work on AI projects. They now have access to existing deep learning models and accessible research from the community, which allows a significant advantage than starting from scratch. While AI models were once majority image-based, most are also incorporating more sensor data, including time-series data, text and radar.
Engineers and scientists will greatly influence the success of a project because of their inherent knowledge of the data, which is an advantage over data scientists not as familiar with the domain area. With tools such as automated labeling, they can use their domain knowledge to rapidly curate large, high-quality datasets. The more availability of high-quality data, the higher the likelihood of accuracy in an AI model, and therefore the higher likelihood for success. 

2. The rise of AI-Driven systems increases design complexity 
As AI is trained to work with more sensor types (IMUs, Lidar, Radar, etc.), engineers are driving AI into a wide range of systems, including autonomous vehicles, aircraft engines, industrial plants, and wind turbines. These are complex, multidomain systems where behavior of the AI model has a substantial impact on the overall system performance. In this world, developing an AI model is not the finish line, it is merely a step along the way.  
Designers are looking to Model-Based Design tools for simulation, integration, and continuous testing of these AI-driven systems. Simulation enables designers to understand how the AI interacts the rest of the system. Integration allows designers to try design ideas within a complete system context. Continuous testing allows designers to quickly find weaknesses in the AI training datasets or design flaws in other components. Model-Based Design represents an end-to-end workflow that tames the complexity of designing AI-driven systems.

3. AI becomes easier to deploy to low power, low cost embedded devices 
AI has typically used 32-bit floating-point math as available in high-performance computing systems, including GPUs, clusters, and datacenters. This allowed for more accurate results and easier training of models, but it ruled out low cost, low power devices that use fixed-point math. Recent advances in software tools now support AI inference models with different levels of fixed-point math. This enables the deployment of AI on those low power, low-cost devices and opens up a new frontier for engineers to incorporate AI in their designs. Examples include low-cost Electronic Control Units (ECUs) in vehicles and other embedded industrial applications.

4. Reinforcement Learning moves from gaming to real-world industrial applications
In 2020, reinforcement learning will go from playing games to enabling real-world industrial applications particularly for automated driving, autonomous systems, control design, and robotics. We’ll see successes where Reinforcement Learning (RL) is used as a component to improve a larger system. Key enablers are easier tools for engineers to build and train RL policies, generate lots of simulation data for training, easy integration of RL agents into system simulation tools and code generation for embedded hardware. An example is improving driver performance in an autonomous driving system. AI can enhance the controller in this system by adding an RL agent to improve and optimize performance – such as faster speed, minimal fuel consumption, or response time. This can be incorporated in a fully autonomous driving system model that includes a vehicle dynamics model, an environment model, camera sensor models, and image processing algorithms.  

5. Simulation lowers a primary barrier to successful AI adoption – lack of data quality
Data quality is a top barrier to successful adoption of AI – per analyst surveys.  The simulation will help lower this barrier in 2020. We know training accurate AI models requires lots of data. While you often have lots of data for normal system operation, what you really need is data from anomalies or critical failure conditions. This is especially true for predictive maintenance applications, such as accurately predicting remaining useful life for a pump on an industrial site. Since creating failure data from physical equipment would be destructive and expensive, the best approach is to generate data from simulations representing failure behavior and use the synthesized data to train an accurate AI model. The simulation will quickly become a key enabler for AI-driven systems.