My grandmother, Claire Hastings, was born in the 1920s on a farm in Armidale, northern New South Wales. That was a relatively common thing, with just 43% of the population living in cities, compared with more than 70% now. She lived in a small wooden hut, with a chicken coop out the front and fields out the back. When she and her siblings came home from school, they helped plough the fields with a horse-drawn plough until sundown. Little did she know this life would soon disappear.

Analytics has been changing the bottom line for businesses for quite some time. Now that more companies are mastering their use of analytics, they are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more. That's why companies are looking to implement machine learning (ML) and artificial intelligence (AI); they want a more comprehensive analytics strategy to achieve these business goals. Learning how to incorporate modern machine learning techniques into their data infrastructure is the first step. For this many are looking to companies that already have begun the implementation process successfully. For call centers, using ML and AI means having conversation analytics software in place – in fact, decades ago call centers began using primitive forms of artificial intelligence.

My grandmother, Claire Hastings, was born in the 1920s on a farm in Armidale, northern New South Wales. That was a relatively common thing, with just 43% of the population living in cities, compared with more than 70% now. She lived in a small wooden hut, with a chicken coop out the front and fields out the back. When she and her siblings came home from school, they helped plow the fields with a horse-drawn plow until sundown. Little did she know this life would soon disappear.

In today's digital world you don't have to take years out of your life studying at university to become familiar with this seemingly complex technology. You will get everything online. And you can learn these courses for free also. AI is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. Taught by the top researchers and educationists of the best universities globally, these artificial intelligence courses are worth taking up.

Deep learning and Python are gaining huge popularity among aspiring techies as well as working professionals. Deep learning (DL) is known as a class of machine learning algorithms for feature extraction and transformation. Meanwhile, Python is one of the popular and trending programming languages across the world for developers. Thus, the combination, deep learning Python, is thriving in the global tech market in recent times with different best deep learning courses in Python. There are multiple courses on deep learning Python to gain a deep understanding of the concepts before entering a professional career.

"Computers are able to see,hear and learn.Welcome to the future." According to the World Economic Forum,more than 65% of students will work in jobs that don't even exist today.We want to help prepare them for that future by getting them excited about what computer science (CS) can take them.With a focus on girls and others who are underrepresented in the field today. Robotics and automation are dramatically reshaping the global economy.From delivering faster customer service to better quality products and efficient operations, robotics and automation provide enormous value for organizations that adopt them at scale. "Robots and automation will take 800 million jobs by 2030."-McKinsey.Using AI, the company hopes to teach the robot to copy human movements automatically, so that it can operate without a pilot. From the initially reported outbreak of coronavirus (COVID-19) in China to the spread of it across the globe, Medtech companies are rolling out robots and drones to help fight it and provide services and care to those quarantined or practicing social distancing. This pandemic has fast-tracked the "testing" of robots and drones in public as officials seek out the most expedient and safe way to grapple with the outbreak and limit contamination and spread of the virus.

Artificial Intelligence (AI) in education has been around for a while, typically doing tasks that require human intelligence. An early memory of AI would be adaptive testing where questions would get tougher and tougher as you kept on answering the right questions. Over the last decade or so computing power has gained leaps and bounds and AI is also getting more evolved to play a larger role in education both for the teacher and learner. Today, Grammarly is a common tool used by many of us which uses AI with natural language processing (NLP) to produce recommendations. One of the challenges for AI is that a large amount of data is required to run the solutions effectively.

As she was looking for a camp last summer, Yabesra Ewnetu, who'd just finished eighth grade, found a reference to MIT's FutureMakers Create-a-thon. Ewnetu had heard that it's hard to detect bias in artificial intelligence because AI algorithms are so complex, but this didn't make sense to her. "I was like, well, we're the ones coding it, shouldn't we be able to see what it's doing and explain why?" She signed up for the six-week virtual FutureMakers program so she could delve into AI herself. FutureMakers is part of the MIT-wide Responsible AI for Social Empowerment and Education (RAISE) initiative launched earlier this year. RAISE is headquartered in the MIT Media Lab and run in collaboration with MIT Schwarzman College of Computing and MIT Open Learning.

The idea behind weight manipulation is simple: as long as you'll be in a caloric deficit you'll lose weight and vice-versa: if you'll be in a caloric surplus you'll gain weight. The algorithm will use as input the foods that I want to consume in a given day and some data about me (e.g current weight, desired weight, activity level, goal (loose/gain weight), macronutrient ratio). We consider that every weight represents the quantity of food (in grams) that you should eat, from the corresponding food vector input. The idea is that the resulted macronutrients for the diet based on our weights to be as close as possible to your ideal diet's macronutrients. Then, I have used a free macronutrient calculator, which based on some personal information (e.g age, sex, current weight, desired weight, level of activity) told me that it will be ideal to eat 175 grams of protein, 359 of carbs, and 101 of fats.

Aimed at driving diversity and inclusion in artificial intelligence, the MIT Stephen A. Schwarzman College of Computing is launching Break Through Tech AI, a new program to bridge the talent gap for women and underrepresented genders in AI positions in industry. Break Through Tech AI will provide skills-based training, industry-relevant portfolios, and mentoring to qualified undergraduate students in the Greater Boston area in order to position them more competitively for careers in data science, machine learning, and artificial intelligence. The free, 18-month program will also provide each student with a stipend for participation to lower the barrier for those typically unable to engage in an unpaid, extra-curricular educational opportunity. "Helping position students from diverse backgrounds to succeed in fields such as data science, machine learning, and artificial intelligence is critical for our society's future," says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and Henry Ellis Warren Professor of Electrical Engineering and Computer Science. "We look forward to working with students from across the Greater Boston area to provide them with skills and mentorship to help them find careers in this competitive and growing industry."