Just over a year ago, an artificial intelligence beat the fourth-ranked player in the world at Go, a complex and ancient game that is said to be a better test of the unique capabilities of the human brain than chess. Now, that same artificial intelligence, called AlphaGo, is preparing for its next public demonstration: a summit in China in May where it will collaborate with human players to come up with strategies, and then face off against the top-ranked player in a series of three matches. If it wins, it will have shown that its underlying algorithms are ready for something more than a game. AlphaGo is the product of DeepMind, a London-based division of Google parent company Alphabet. DeepMind was founded in 2010 around the goal of researching artificial intelligence in order to understand the nature of intelligence and harness the full power of computerized brainpower for humanity. Its experiments with Go -- a game thought to be years away from being conquered by AI before last year -- are designed to bring us closer to designing a computer with human-like understanding that can solve problems like a human mind can.

TOKYO Toyota Motor Corp said it will commercialize rehabilitation robots later this year when it makes its robotic walk assist system available for rent, joining Honda Motor Co in marketing mobility devices for Japan's ageing population. A decade after it began developing rehabilitation robots, the world's No.2 automaker on Wednesday said the system would be ready to hit the market by the end of 2017, two years after Honda launched a similar device. Hospitals and other care providers would be able to rent the system, designed for patients with lower limb paralysis, for 350,000 yen ($3,196.93) per month plus an initial fee of 1 million yen. "The (system) will help to provide assistance to the elderly by enabling them to live more independent lives and to also provide support for their care-givers," Toyota said in a statement. Japan is graying faster than the rest of the world, with the number of people aged 65 or older accounting for 26.7 percent of the population in 2015, dwarfing the global average of about 8.5 percent.

Risks relating to cyber security have risen to the top of the corporate agenda in recent years but few company leaders are aware of the full extent of the possible damage that data breaches can cause. A new study commissioned by cyber security firm CGI and conducted by Oxford Economics, has found that companies' share prices fall by an average of 1.8 per cent on a permanent basis following a severe breach – where large amounts of sensitive information are lost. This means a typical FTSE 100 firm is worse off by an average of £120m after a breach, according to the study. Oxford Economics compiled the data using the Gemalto Breach Index -- a register of publicly disclosed cyber security breaches. Some 315 breach events were examined in total with a focus on 65 "severe" and "catastrophic" breaches occurring since 2013 across seven global stock exchanges.

Toyota is introducing a wearable robotic leg brace designed to help partially paralyzed people walk. The Welwalk WW-1000 system is made up of a motorized mechanical frame that fits on a person's leg from the knee down. The patients can practice walking wearing the robotic device on a special treadmill that can support their weight. Toyota Motor Corp. demonstrated the equipment for reporters at its Tokyo headquarters on Wednesday. One hundred such systems will be rented to medical facilities in Japan later this year, Toyota said. The service entails a one-time initial charge of ¥1 million ($9,000) and a ¥350,000 ($3,200) monthly fee.

The company's widely touted artificial intelligence tool Bixby -- seen as a rival for Apple's (AAPL, Tech30) Siri -- won't be fully operational in time for the U.S. release of the Galaxy S8. While some elements of Bixby will be included in the April 21 launch, the headline voice activation feature won't be available in the U.S. until "later this spring," Samsung (SSNLF) said in a statement. The delay is an embarrassing hiccup for Samsung. The rollout of the tech giant's first high-end smartphone since the debacle over its fire-prone Galaxy Note 7 is being closely watched. After a bungled recall that cost the company more than $5 billion and ultimately led it to kill off of the Note 7, analysts have said Samsung needs a flawless launch for the S8.

A model demonstrates the Welwalk WW-1000, a wearable robotic leg brace designed to help partially paralyzed people walk at the main system with treadmill and monitor, at Toyota Motor Corp.'s head office in Tokyo, Wednesday, April 12, 2017. Toyota Motor Corp.'s Welwalk WW-1000 system is made up of a motorized mechanical frame that fits on a person's leg from the knee down.

When Samsung introduced the Galaxy S8 and Galaxy S8 to the world, the company proudly shared that the Android devices will have their own voice assistant called Bxby. Unfortunately, consumers shouldn't expect to get their hands on the new Siri rival as it was recently found out that Bixby will not ship with the flagship phones. On Tuesday, CNET learned that the key feature that was supposed to debut when the Galaxy S8 and Galaxy S8 start shipping at the end of the month will not come with the handsets. The South Korea giant has confirmed that its new voice assistant will not be operational out of the box, so consumers won't be able to use it starting April 21. Samsung said that while key features of Bixby will be functional at launch, the voice assistant will not be available for use until the later part of spring. "Key features of Bixby, including Vision, Home and Reminder, will be available with the global launch of the Samsung Galaxy S8 on April 21.

As machine learning and data analytics experts, we have considerable experience in developing and implementing machine learning projects with businesses across different industries, including manufacturing, telecoms, financial services and retail. As such, we're all too familiar with the types of mistakes that are typically made during machine learning projects – and not only by beginners. It is essential for businesses to learn what not to do in order to focus their efforts on solving real issues and build solutions capable of delivering ROI. Drawing on our own examples, as well as others that we have come across, we are able to highlight the costly mistakes that could have otherwise been avoided. Here are the top four typical mistakes made by businesses during machine learning projects.

In China's quest to shed its reputation as a land of copycats, the world's second-biggest economy is pouring resources in to the hottest area in technology innovation: artificial intelligence. With the goal of nurturing world-class companies that can compete with the likes of Google and IBM in building intelligent machines, the Chinese leadership singled out AI as a key area of development in a report released during the National People's Congress in March. Soon after, the country's biggest technology companies -- Alibaba, Baidu and Tencent -- announced plans for AI laboratories and projects worth billions of dollars.

Move over, managers, there's a new boss in the office: artificial intelligence. The same technology that enables a navigation app to find the most efficient route to your destination or lets an online store recommend products based on past purchases is on the verge of transforming the office -- promising to remake how we look for job candidates, get the most out of workers and keep our best workers on the job. These applications aim to analyze a vast amount of data and search for patterns--broadening managers' options and helping them systematize processes that are often driven simply by instinct. And just like shopping sites, the AIs are designed to learn from experience to get an ever-better idea of what managers want. A company can provide a job description, and AI will collect and crunch data from a variety of sources to find people with the right talents, with experience to match--candidates who might never have thought of applying to the company, and whom the company might never have thought of seeking out.