Machine learning is a subset of AI which aims at making modern-day computers smarter, and intelligent. The real power of machine learning resides in its algorithms which make even the most difficult things possible for machines to handle. However, with the advancement in the technology and requirement of data, our machines will have to be smarter than they are today to meet the overwhelming needs, and knowing how different algorithms work to make ML effective is the need of the hour. Mastering Machine Learning Algorithms is your tool, your guide to get to grips quickly with the most widely used algorithms. You start with learning various ML models along with an introduction to semi-supervised learning.
India's most valuable bank, HDFC Bank, is leveraging artificial intelligence (AI) at its core by offering conversational interfaces, such as humanoids and chatbots, to transform the customer experience. In the six months since she joined HDFC Bank, Eva has had over 1.2 million conversations addressing nearly 2.7 million customer queries. In an environment where the country's biggest and most competitive banks are jostling to acquire modern customers, Eva is just what the bank's country head of digital banking, Nitin Chugh, had asked for. Earlier this month, Eva also became India's largest banking chatbot. Eva, which stands for electronic virtual assistant, combines natural language processing and artificial intelligence to offer an almost human-like customer experience for users.
The pace of technology-driven change is accelerating for enterprises all around the world. While the idea of artificial intelligence (AI) has been around for nearly 70 years, it wasn't until 2017 that we found 72 percent of business leaders believed AI to be a competitive advantage in the future (if not already), according to a recent PwC AI survey. In response, it's critical for companies to iteratively shift paradigms from legacy approaches to better compete in the age of digital transformation. Evolving software algorithms, capable of performing tasks typically requiring human intelligence, are fueling a wave of advancements in visual perception, speech recognition, decision-making, language translation, robotics and autonomous vehicle capability. Though AI is the catchphrase for numerous subfields, machine learning and deep learning are garnering the most attention as they teach themselves to learn, reason, plan and ultimately become more intelligent when exposed to bigger, more refined data sets and a standard predictive analytics model.
Why have humans created machines? Technology is born from the human desire to save time in order to invest it in fantasy. Technology generates time and space for the activities that make us quintessentially human: creativity and entrepreneurship, inventiveness, and empathy. It serves us by alleviating suffering and creating solutions to grow and fulfil our aspirations – from curing cancer to landing on Mars. But humankind's most common mistake is to forget their ends, as Nietzsche warned.
China and the US are becoming the world's biggest rivals in artificial intelligence: it's Luke vs Darth Vader, Alien vs Predator, Rocky vs Ivan Drago. The Chinese government's pivot to become the leader in this technology has created plenty of hype, but how are China's ambitious AI aspirations playing out on the ground? Research by startup database IT Juzi and Tencent News offers a new view of China's AI industry's strengths and weaknesses. The US is currently the definite champion in AI development, according to the data. There are 1.82 times more American AI companies than Chinese.
TORONTO – Having built an impressive lead in artificial intelligence, Canada is keen to do the same in driverless cars -- specifically the lidar (laser radar) technology that lets these vehicles see where they're going. The Quebec City-based company makes solid-state technology it says is better and cheaper than earlier versions of lidar and sells it to parts makers, which in turn bake it into their hardware. LeddarTech has attracted big-name industry backers including Delphi Automotive, Germany's Osram Licht and Fiat Chrysler's parts division, which last month participated in a $101 million fundraising round. There's a race on to get self-driving cars on the road over the next four years and lidar is a key component in making that possible. The market for the technology will grow tenfold to $2.5 billion by 2027, according to Akhilesh Kona, a senior analyst at IHS Markit, and become much bigger as cars become increasingly autonomous.
Similar to Amazon's original Echo, the Invoke is a Pringles can-size speaker that can play music, check traffic and answer questions about sports scores or historical facts. Microsoft and Harman Kardon announced plans in May to launch the Invoke, priced at $199. In August, Harman Kardon said it also would launch the Allure, a voice-enabled speaker using Amazon's Alexa. Though Microsoft's arrival to the market comes years after Amazon's, the company is betting the Invoke can draw customers in with its connections to Microsoft products that have millions of users, such as the Office productivity franchise and Skype internet-calling. Cortana, like Amazon's Alexa, will take commands from users.
In the second quarter alone, the game--which is free to play and generates revenue through small in-game purchases from weapons to character upgrades--pulled in $375 million through Apple Inc.'s App Store in China, app data provider App Annie Inc. estimates. But despite being the world's most valuable gaming company, Tencent has yet to release a hit game in the U.S.--and "Honor of Kings" is its most ambitious attempt to date. To maximize the appeal of the game to Western users, the company struck a deal with DC Comics and will be swapping out historical Chinese characters for DC Comics superheroes such as Batman and Wonder Woman. The game also got a new name: "Arena of Valor." Earlier this month, Tencent put the game in the Google Play store with a "coming soon" tag, and is inviting players to preregister to win rewards.
CIOs are finally cutting through the machine-learning hype. According to "The Global CIO Point of View," issued today, nearly 9 out of 10 CIOs already use machine-learning technology or have plans to adopt it. Investments will double in the next three years as leading organizations turn to advancements in machine learning to drive faster, more accurate decisions that fuel digital transformation. A shortage of talent has hindered adoption. Designing and rolling out practical applications of machine learning has required highly trained data scientists.
I think everyone agrees that artificial intelligence is a "game-changing technology". For sure, it is still in the early stages of its development and current expectations are often set too high. Singularity -- the point where artificial super-intelligence surpasses human intelligence -- is still "relatively" far away. Yet, AI is already changing many fields of life and this change is only set to continue. There is simply no turning back.