Machine Learning is a subfield of computer science by which computers have the ability to learn without being explicitly programmed. Machine learning is a method used to develop complex models and algorithms that lend themselves to prediction. Machine learning is deployed where the system deals with large scale of data. Deployments of machine learning leads to improved speed and accuracy of the functions performed by the system. Machine learning is majorly deployed for solving classification and regression problems.

Even as its engineers were developing the technology platform Watson, managers at IBM knew that cancer would be one of its killer applications. This dreaded disease manifests itself in many different forms, with further variations based on a patient's genetic makeup. Cancer's complexity forces doctors to resort to trial and error to figure out what drugs work. Watson, backed by its artificial intelligence platform, can search through enormous amounts of data and quickly come up with the best treatment method. Watson is thus popular among oncologists, but this piece of technology has other uses too.

In an industry known for its love of buzzwords and hype, artificial intelligence (AI) has become marketing's new'big data'. But where big data ultimately led to new layers of complexity, AI promises the opposite. Big data forced marketers to become data scientists (or hire them, if they could be found), but AI holds out the hope that marketers may get to go back to doing what they signed up for the in the first place. Recent months have seen technology providers such as Salesforce, Oracle and Microsoft bring new AI-based technologies to market, promising to derive insights and improve conversions by mimicking the processes of the human brain in software. Salesforce, for example, is rolling out its Einstein AI technology to provide functions such as product recommendations within the Commerce Cloud, email content recommendations within its Marketing Cloud, and predictive forecasting tools for sales managers with its Sales Cloud.

China may be behind in the smart home industry, but research shows it will be a $22.8 billion business by 2018. However, one firm is getting a head started with a voice-activated, cloud-based smart home speaker that does something the leading devices can't - it speaks Cantonese and Mandarin. The speaker, from Chinese firm LingLong and known as the DingDong, has an AI with a music library of 3 million songs, can take memos and share updates regarding news, traffic and weather in what the firm calls'cinema-like sound quality'. LingLong DingDong is a a voice-activated, cloud-based smart home speaker designed with a music library of 3 million songs, can take memos and share updates about news, traffic and weather in what the firm calls'cinema-like sound quality' LingLong DingDong is China's voice-activated, cloud-based smart home speaker that speaks both Cantonese and Mandarin that costs $118. It takes memos, organize schedules and share updates about news, traffic and weather.

There is growing concern about artificial intelligence (AI) taking away jobs. All three scenarios have strong arguments, but the fact that we are debating and talking about it now suggests that, in the end, the more plausible scenario is going to be a mix of all three futures. Tractica's own analysis suggests that while AI capabilities today are mostly limited, it is a mistake to brush off AI advancement as another hype cycle heading toward an AI winter. Tractica's recently published report, Artificial Intelligence Market Forecasts, suggests that revenue will reach $36.8 billion by 2025, with almost every industry seeing an impact from AI. In this blog post, we try to go a step further by understanding the ratio and mix of how these three scenarios could play out.

Thailand's military government warned women on Monday against posting photos of the lower half of their breasts – a current social media trend – saying their actions could violate the country's computer crime laws. Thailand's computer crimes act 2007 bans material that causes "damage to the country's security or causes public panic" or "any obscene computer data which is accessible to the public". The culture ministry said offenders faced up to five years in jail, but did not say how they would identify the culprits. "When people take these'underboob selfies' no one can see their faces," ministry spokesman Anandha Chouchoti said. "So it's like, we don't know who these belong to, and it encourages others to do the same. "We can only warn people to not take it up.

Can artificial intelligence win a championship or that much coveted Gold medal for an individual athlete? Well, one company has not one but two solutions that incorporates artificial intelligence (AI) technology into sports wearables. PIQ is a start-up based in France that has been working for two years to develop this AI interface. The company has poured more than $18 million into this project and has currently a team of 50 engineers working on AI interface that informs the athlete's own "winning factors", while also pinpointing key strengths and strategy for success. According to PIQ, connected sports are limited as they just capture basic data.

Despite what you might think, evolution rarely happens because something is good for a species. Instead, natural selection favours genetic variants that are good for the individuals that possess them. This leads to a much more complicated and messy world, with different selective forces pushing in many directions, even within a single species. A team of Swedish and Australian researchers led by Séverine Buechel from Stockholm Universitywondered if, like predator-prey conflict, sexual conflict might also affect the evolution of brain size. The team bred mosquitofish in a lab - both male and female.

Europe's Schiaparelli Mars lander crashed last month after a sensor failure caused it to cast away its parachute and turn off braking thrusters more than two miles (3.7 km) above the surface of the planet, as if it had already landed, a new report has revealed. The error stemmed from a momentary glitch in a device that measured how fast the spacecraft was spinning, the report by the European Space Agency said. The spacecraft activated its ground systems, even though it was still about 2.3 miles off the surface, the ESA said. The new image of Schiaparelli and its hardware components was taken by NASA's Mars Reconnaissance Orbiter, or MRO, on 1 November. A number of the bright white spots around the dark region interpreted as the impact site are now confirmed as real objects – they are not likely to be imaging'noise' – and therefore are most likely fragments of Schiaparelli.

Robots have become commonplace in many aspects of life including health care, military and security work. Yet until recently little thought has been given outside of academic circles to the ethics of robots. Silicon Valley Robotics recently launched a Good Robot Design Council -- which has launched "5 Laws of Robotics" guidelines for roboticists and academics -- on the ethical creation, marketing and use of robots in everyday life. The laws have been adapted from the EPSRC 2010 "Principles of Robotics". In Britain a few months ago we saw a similar document, "BS8611 Robots and robotic devices" by the British Standards Institute (BSI) presented at the Social Robotics and AI conference in Oxford as an approach to embedding ethical risk assessment in robots.