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Once cartoonist Pran struck upon an idea of a wise oldman who solves problems with his sharp intellect. Thus CHACHA CHAUDHARY was born in 1971.Tall and robust SABU, who is an inhabitant of planet Jupiter, gave Chaudhary an ideal company. A combination of wisdom and strength was formed to tackle any difficult task. It is said that " Chacha Chaudhary's brain works faster than a computer". Though both fight the criminals and tricksters, each episode ends with a touch of humour. The duo perform in lighter vein. The CHAUDHARY family consists of his wife Bini, a fat sharp tongue woman, Sabu, Rocket - the dog and Dag- Dag, an old truck who is half human- half machine. Chacha Chaudhary is the most popular Indian comics. More than 10 million readers enjoy this series regularly in newspapers and comic books in ten languages. A T.V. serial based on the comics has crossed 500 episodes and still continue to be telecast on premier channel "Sahara ONE".
Set at the crossroads of Turkish, Persian and Russian cultures under the red flag of Communism in the late 1970s, The Orphan Sky reveals one woman's struggle to reconcile her ideals with the corrupt world around her, and to decide whether to betray her country or her heart. Leila is a young classical pianist who dreams of winning international competitions and bringing awards to her beloved country Azerbaijan. She is also a proud daughter of the Communist Party. When she receives an assignment from her communist mentor to spy on a music shop suspected of traitorous Western influences, she does it eagerly, determined to prove her worth to the Party. But Leila didn't anticipate the complications of meeting Tahir, the rebellious painter who owns the music shop. His jazz recordings, abstract art, and subversive political opinions crack open the veneer of the world she's been living in. Just when she begins to fall in love with both the West and Tahir, her comrades force her to make an impossible choice.
The ant scurries on the counter, alone and the only remnant of its poisoned colony. Empathizing with the ant, Natalie ponders putting it out of its misery. As a scientist, she knows her flowcharts point to humankind's destruction: much like the ants, we polluted our colony too. Heading up one of a handful of secret labs, Natalie's mission to save humanity seems more like a cliche sci-fi movie than reality. Or maybe the world-weary views she possesses stem from her own bitter past. Knowing the final days of humanity approaches, Natalie plans for her revenge and escape. A dark tale of the world near death and one woman determined to survive against all the odds.
ÿOnce cartoonist Pran struck upon an idea of a wise oldman who solves problems with his sharp intellect. ThusÿCHACHA CHAUDHARY was born in 1971.Tall and robust SABU, who is an inhabitant of planet Jupiter, gave Chaudhary an ideal company. A combination of wisdom and strength was formed to tackle any difficult task. It is said thatÿ" Chacha Chaudhary's brain works faster than a computer". Though both fight the criminals and tricksters, each episode ends with a touch of humour. The duo perform in lighter vein.ÿ The CHAUDHARY family consists of hisÿwife Bini, a fat sharp tongue woman,ÿSabu, Rocket - the dog and Dag- Dag, an old truck who is half human- half machine.ÿ Chacha Chaudharyÿis the most popular Indian comics. More than 10 million readers enjoy this series regularly in newspapers and comic books in ten languages. AÿT.V. serial based on the comics has crossed 500 episodes and still continue to be telecast on premier channelÿ"Sahara ONE".
In this colourful coming-of-age tale of software engingeer Ganga, debutant author Mukul Kumar describes the cultural transformation of India accompanying the advent of its highly sophisticated software industry. Kumar's colourful settings and worldly characters, fuelled by his personal experiences as a software engineer, make readers eager to accompany Ganga to his various onsite opportunities. Onsite Opportunity delivers an unparalleled glimpse into the young generation of India which is getting exposed and transformed with unprecedented opportunities. As a young software engineer commencing his career, Ganga has amazing travel opportunities. Wide-eyed and dreamy since his youth, the onsite opportunities seem as engrossing as Gulliver's or Sinbad's adventures. As Ganga voyages across the seven seas, he quickly learns that the real world is more stimulating than he could have ever imagined. He becomes a keen observer of men and their idiosyncrasies, acquiring worldly knowhow and indispensable survival skills along the way. As Ganga shares accommodation with different people from around the world, he gets acquainted with the cultural and moral values of each country. He is oftentimes left with difficult choices. But he meets every challenge head-on, reconciliong the gains and pains in his roller-coaster ride of life.
Maurice Horn, the editor of World Encyclopedia of Comics, has described cartoonist PRAN as Walt Disney of India. Entertaining generation after generation, his comics have been constant companion of all the growing youngsters providing fun and amusement through his famous characters like CHACHA CHAUDHARY, SABU, SHRIMATIJI, PINKI, BILLOO, RAMAN etc. More than 600 of his titles are selling well in the market, and numerous comic strips are regularly appearing in various newspapers. His CHACHA CHAUDHARY comics had already been adapted for a TV Serial, and ran continuously for 600 episodes on a premier channel. Travelling widely over the globe, he delivers lectures at various International Conferences. He has also been honoured with 'People of The Year Award' by Limca Book of Records for popularizing comics. His comic book 'United We Stand' was released in 1983 by the then Prime Minister Mrs. Indira Gandhi, and is still very popular among children.
Maurice Horn, the editor of World Encyclopedia of Comics, has described cartoonist PRAN as Walt Disney of India. Entertaining generation after generation, his comics have been constant companion of all the growing youngsters providing fun and amusement through his famous characters like CHACHA CHAUDHARY, SABU, SHRIMATIJI, PINKI, BILLOO, RAMAN etc. More than 600 of his titles are selling well in the market, and numerous comic strips are regularly appearing in various newspapers. His CHACHA CHAUDHARY comics had already been adapted for a TV Serial, and ran continuously for 600 episodes on a premier channel. Travelling widely over the globe, he delivers lectures at various International Conferences. He has also been honoured with 'People of The Year Award' by Limca Book of Records for popularizing comics. His comic book 'United We Stand' was released in 1983 by the then Prime Minister Mrs. Indira Gandhi, and is still very popular among children.
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations