Humans must become cyborgs if they are to stay relevant in a future dominated by artificial intelligence. That was the warning from Tesla founder Elon Musk, speaking at an event in Dubai this weekend. Musk argued that as artificial intelligence becomes more sophisticated, it will lead to mass unemployment. "There will be fewer and fewer jobs that a robot can't do better," he said at the World Government Summit. If humans want to continue to add value to the economy, they must augment their capabilities through a "merger of biological intelligence and machine intelligence".

Mumbai: Data scientists have begun betting on the use of machine learning, deep learning, Big Data and artificial intelligence (AI) technologies to help in the early detection of diseases and advance healthcare. Leading the way on the road to healthcare analytics are the world's five largest medical device companies--Johnson & Johnson, GE Healthcare, Siemens, Medtronic and Philips Healthcare. In the case of Dutch electronics, healthcare and lighting company, Philips NV, much of such innovative work is being done at the Philips Innovation Campus (PIC) in Bengaluru. PIC, according to the centre's chief executive Srinivas Prasad, initially started as a software centre in 1996, and has now developed into a product engineering site with a focus on delivering innovations for local and global markets. "Engineers and domain experts work on end-to-end products and solutions across the health continuum, from healthy living, to prevention, diagnosis and treatment. PIC is harnessing the power of technologies such as mobile, digital, cloud and Big Data analytics to improve patient outcomes through care coordination and patient empowerment. PIC takes pride in developing solutions to make healthcare affordable and accessible in India and other growth geographies like Africa and Indonesia," said Prasad.

Not all core concepts from software engineering translate into the machine learning universe. Here are some differences I've noticed. Divide and Conquer A key technique in software engineering is to break a problem down into simpler subproblems, solve those subproblems, and then compose them into a solution to the original problem. Arguably, this is the entire job, recursively applied until the solution can be expressed in a single line in whatever programming language is being used. The canonical pedagogical example is the Tower of Hanoi.

The most recent World Economic Forum took place in Davos, Switzerland, in January 2016. The theme was the premise that we're now moving into the Fourth Industrial Revolution. Some of the world's most innovative companies are already moving into the digital age. They're learning to utilize cloud computing and machine learning to revolutionize different aspect of their businesses. This is an enormous opportunity for resourceful businesses to tap into the potential offered by digital listening, or using data in new ways.

Dyson is expanding its footprint in Singapore, with a new Technology Centre opened today by the maker of vacuums and other smart home electronics. The UK company will be investing $561 million as part of its commitment to the new facility, which hosts working labs where research and development teams can pool their cumulative hardware and software know-how to help advance the company's growing ambitions. If you're only passingly familiar with Dyson's work, you might be wondering what a company that makes vacuums needs with a half-million dollar tech facility with a focus the company says is on "artificial intelligence, machine learning and software development. But Dyson has always emphasized its tech edge in the domestic cleaning hardware market, and it's only doing more to push that advantage lately, including more work in robotics, computer visions systems and machine learning with products like its Dyson 360 Eye robot vacuum. As you can see from the photos of the facility, the company also put a lot of engineering work into one of its most recent products, the Supersonic hair dryer.

For years organisations around the world have tried to in vain to become a paper-less organisation. The recent surge in digitisation and mobilisation of processes has helped bring many closer, but very few have actually achieved this goal. In fact, it's far more accurate in my view to talk about being a less-paper-reliant organisation than a paper-less one. Many, many organisations still use paper for one reason or another. The question I'd like to raise today, is whether we'll be having the same conversation and experience as regards our people because AI and robots continue their advance?

Artificial intelligence (AI) can be understood as a science, engineering and deployment of machines, which perform tasks with intelligence as similar to humans. Since its inception 60 years ago, AI has observed significant growth in recent years. Initially, AI was considered as topic for academicians, though in recent years with development of various technologies, AI has turned into reality and is influencing many lives and businesses. Additionally, evolution of various other supplementary technologies such as cloud computing, machine learning and cognitive computing are collectively paving the growth of the market for AI. According to Mr. Sachin Garg - Associate Director at MarketsandMarkets who tracks the global semiconductor market, the global artificial intelligence chipset market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% between 2016 and 2022.

Tesla CEO Elon Musk has doubled down on his support of a universal basic income as a possible solution for unemployment caused by the rise of machines equipped with artificial intelligence taking over the workforce. A universal basic income would give a standard amount of money to every citizen to cover basic expenses like food and living costs each month. At the World Government Summit in Dubai on Monday, Musk told a crowd that universal basic income is'going to be necessary' in the future. Tesla CEO Elon Musk told a crowd at the World Government Summit in Dubai on Monday (pictured) that universal basic income is'going to be necessary' in the future Musk first joined the growing list of tech executives supporting the payment system in November when he spoke about the concept in an interview with CNBC. Former President Barack Obama warned Congress in March that by 2030, as many as 50 per cent of jobs could be replaced by robots, leaving millions of people without work.

We present a novel approach for planning the development of hydrocarbon fields, taking into account the sequential nature of well drilling decisions and the possibility to react to future information. In a dynamic fashion, we want to optimally decide where to drill each well conditional on every possible piece of information that could be obtained from previous wells. We formulate this sequential drilling optimization problem as a POMDP, and propose an algorithm to search for an optimal drilling policy. We show that our new approach leads to better results compared to the current standard in the oil and gas (O&G) industry.

Apple's personal assistant Siri is known for its Easter eggs and its oddball answers to questions like, "What is the meaning of life?" Now, its latest trick will help you get in touch with your inner Dark Knight. The Lego Batman Movie, released last Friday, features the voice of Siri as the Batcave's computer. So, naturally, Apple has teamed up with Warner Bros. to cross-promote the animated film. If you say, "Hey, computer!" or "Hey, 'puter!" into Siri, she responds to you as if you're the tiny, plastic Caped Crusader.