Drug abuse is a serious issue that affects millions of people around the world. It can have devastating consequences on a person's life, leading to various infectious diseases and other health issues, crime, unemployment, homelessness, social exclusion, and even death. But drug abuse doesn't just affect individuals, it affects society at large through reduced workforce productivity and costs associated with addiction treatment. According to the UN's World Drug Report 2019, around 271 million people worldwide used drugs in 2017, while 35 million suffer from drug use disorders. The report shows that the number of people who use drugs has increased by 30 per cent compared to a decade ago, but this increase can be partly attributed to improved research and more precise data, as well as the increase in the global population.

They built a technology to speed up cardiac diagnosis and treatment. Their product combines equipment with artificial intelligence and medical expertise. For instance, when the wearable device tracks the heart rate of the patient, the information is sent to a centrally located hub where a qualified expert is available 24/7. The specialist interprets the electrocardiogram and sends the report through an SMS as well as through a message on Tricog's mobile app. This helps in faster diagnosis. The jury took note of the critical use of technology and its requirement and relevance in a country like India.

Estimating the perfect times for drivers to pick up food delivery orders for a number of different restaurants can be one of the most difficult of computational problems. Think of it like the Traveling Salesperson NP-Hard combinatorial optimization problem: The customer wants food delivered in a timely manner, and the delivery person wants to food ready when they roll-up. If the estimates are off by even a tiny bit, then customers are unhappy and delivery people will work elsewhere. Yet, car-sharing service Uber is building a global service, called Uber Eats, that will rely on accurate predictions to succeed. The secret to its success will be machine learning, built from the company's in-house ML platform, nicknamed Michelangelo.

A student learning to speak Mandarin wanders into a marketplace on the streets of China on a sunny summer afternoon. Before long, two vendors approach and begin hawking products, trying to outbid one another. The student must now grasp what's being said and formulate an appropriate response using proper pronunciation to avoid being misunderstood. It's a challenging, yet common, scenario for anyone trying to learn a new language by interacting with native speakers and immersing themselves in a foreign culture. Fortunately, the student in this case is able to pause the unfolding scenario to check the accuracy and tone of her planned response.

Emotional Intelligence(also known as Emotional Quotient, or EQ) training courses and workshops in Dubai, the UAE have become very popular recently among managers of all levels. What reason stands behind the popularity of emotional intelligence trainings? A lot of people dream about taking on a managerial or leadership role, but only a few think about the drawbacks and consequences of this role. The responsibility for success or failure always puts a heavy burden on the shoulders of the leader. To manage that pressure and successfully accomplish daily tasks, each leader must have a certain set of characteristics, skills, and traits.

NEW DELHI: Andhra Bank has partnered with Floatbot to offer an Artificial Intelligence-powered virtual assistant for online banking users. The AI chatbot named "ABHi" --made by Floatbot-- is integrated with Core Banking Servers (CBS) of Andhra Bank and will automate customer support for 5 crore Andhra Bank account holders. Floatbot will also develop a chatbot for over 20,000 internal employees of Andhra Bank to automate on-boarding and training. Floatbot is incubated at NASSCOM Center of Excellence DS-AI, an initiative of the Department of IT, BT and S&T, Government of Karnataka. "Floatbot has launched the chatbot for Andhra Bank after going through end to end security audit and a rigorous user acceptance testing (UAT). More than 50,000 queries were tested before the final sign-off," the company claimed in a statement.

Back in 1973, Daniel Bell published a pioneering book, called The Coming of Post-Industrial Society. He described how society was undergoing relentless change, driven by rapid advances in technology. Services would become more important than goods. There would also be the emergence of a "knowledge class" and gender roles would evolve. According to Bell: "The concept of the post-industrial society deals primarily with changes in the social structure, the way in which the economy is being transformed and the occupational system reworked, and with the new relations between theory and empiricism, particularly science and technology." Among the many readers of the book was a young Tom Siebel.

So is it possible to interpret how someone is feeling based on their gait alone? That's exactly what scientists at the University of North Carolina at Chapel Hill and the University of Maryland at College Park have taught a computer to do. Using deep learning, their software can analyze a video of someone walking, turn it into a 3D model, and extract their gait. A neural network then determines the dominant motion and how it matches up to a particular feeling, based on the data on which it's trained. According to their research paper, published in June on arXiv, their deep learning model can guess four different emotions--happy, sad, angry, and neutral--with 80% accuracy.

Artificial Intelligence (AI) is not considered just an emerging technology with a bright future, it is indeed a robust growing platform, impacting several industries and touching numerous spheres of life. AI algorithms need enormous volumes of datasets to be trained appropriately, after which the system can not only decipher pictures, such as recognizing a dog is a dog or differentiating a chair from a table, it can also generate original images and create exceptionally amazing artistry of quality associated with those of Picasso or Michelangelo. AI model that makes it possible has matured substantially over the recent years and it produces perfect output for certain applications but needs more refinement in other cases. Computer scientists have spent around two decades to teach, train and build machines which can visualize the world around them, a normal skill that humans take for granted, yet it's one that's highly challenging to train a machine to do, kudos to artificial intelligence for making it possible!! Two major ground-breaking improvements in AI image processing have been facial-recognition technology in both retail and security, as well as image generation in all fields of art. The commercialized usage of facial recognition technology is to improve sales and marketing of products including efficient targeting of audience.

With new technology available to us, we're inching closer to the end of the days when deciphering ancient languages is a painstaking task filled with frustration and confusion. Nifty machines following complex algorithms are helping researchers around the globe as they take on the often monumental task of understanding ancient texts and lost languages. Big Think reports that linguistic experts estimate there have been approximately 31,000 languages spoken throughout human history. Many of them are now dead and forgotten, but a new AI project may be part of the answer in how to decipher the writing of ancient languages. "While languages change, many of the symbols and how the words and characters are distributed stay relatively constant over time. Because of that, you could attempt to decode a long-lost language if you understood its relationship to a known progenitor language."