Head of SK Telecom----s Corporate R&D Center Choi Jin-sung (left in the picture) and Intel Korea----s Chief Executive Officer Kwon Myung-sook [Photo provided by SK Telecom Co.] South Korea----s top wireless carrier SK Telecom Co. said it will work with the world----s biggest chipmaker Intel Corp. to develop connected car system piloted by artificial intelligence. SK Telecom last Thursday signed a memorandum of understanding with Intel to cooperate on developing Vehicle-to-Everything (V2X) communication and deep-learning based video recognition technologies, the telecommunication company said on Monday. The V2X communication refers to wireless technology transferring information from a vehicle to everything that may affect the vehicle. The Korean telecom company will provide vehicular communications and video recognition technologies while Intel contribute its expertise in 5G networks and deep-learning, or data-based machine learning, system to develop a platform for automated connected car. The two firms aim to demonstrate the new connected car technology as early as next year.

In the previous part of this series, we discussed how ARM Holdings (ARMH) designs chips that are used in almost all smartphones across the globe. Intel's (INTC) Atom processors could not compete with ARM's power-efficient, low-cost processors in the mobile space. Using ARM-based chips, Qualcomm (QCOM), Apple (AAPL), and Samsung (SSNLF) have dominated the mobile processor market. Now ARM is moving toward IoT (Internet of Things) and has already gained a 26% share in the IoT market. The company expects to gain a 50% market share by 2020, growing at a CAGR (compounded annual growth rate) of 7%.

According to Yoshiyuki Matsumoto, who heads up the automaker's research division, the move is expected to happen next year. Matsumoto said in an interview that it is hoped bringing the teams together will allow closer co-operation between Honda's scientists and engineers, leading to new AI-enabled products being made available to the public. AI is crucial in the development of autonomous cars, Matsumoto said, acting as the brain that combines elements of robotics, sensing, navigation, and connectivity. Japan has a strong track record developing new hardware, but has arguably lagged behind in software. Matsumoto feels basing its efforts in Japan will allow Honda to progress quicker.

Apple is trying to introduce wireless charging into the next iPhone, according to reports. Rumours have long swirled around the iPhone 8 – even before the iPhone 7 was released this year. Reports have suggested that Apple is planning a major redesign for the new handset, which will mark the tenth anniversary of the iPhone, which might include an entirely glass body and a screen that takes up all of the front of the phone. And new reports suggest that Apple is currently exploring the possibility of adding wireless charging modules to the next phone, too. That would mean that it would just need to be set down on a special surface to charge it – in keeping with Apple's commitment to keep moving towards a wireless future, which it stressed when it dropped the headphone jack from the iPhone.

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Apple revealed its fourth quarter financial results during a conference call with investors on Tuesday, but perhaps the most interesting narrative -- aside from the company's first annual revenue decline since 2001 -- was the tech giants avowed focus on machine learning. "Today, machine learning drives improvement in countless features across our products," Apple CEO Tim Cook boasted during his initial remarks. Cook then offered a state of machine learning at Apple, by running down areas where machine learning is already helping to improve the iPhone user experience, noting that machine learning "enables the proactive features in iOS 10, and that cameras employ it in face recognizing software. Machine learning is also a key aspect of Apple's fitness offerings. "Machine learning continually helps Siri get smarter in areas, including understanding natural language," Cook added.

"SAS has morphed from a pure tools-based analytics company to solutions-based company. That is driving SAS to get more involved with other technologies and ecosystems." SAS is the latest long-time analytics firm to enter the era of'open' and'cloud-based' analytics. SAS Viya, revealed last spring and rolling out now, aims to take businesses into the new-gen of analytics offering full list of lifecycle support features and capabilities, SAS' chief customer officer Fritz Lehman told IDN. "With SAS Viya, we have a complete rewrite [of the popular SAS analytics platform] for today's new business challenges. New ways to access and build analytics apps are key for so many workers inside businesses today," Lehman said.

Who within organizations should be responsible for robotics security? Today's security threats have expanded in scope and seriousness. There can now be millions -- or even billions -- of dollars at risk when information security isn't handled properly. As robotics becomes increasingly intertwined with other facets of IT such as the cloud, mobile devices, data analytics and the Internet of Things (IoT), concerns about the risk of data theft and other negative impacts are legitimate. But the security issue goes beyond traditional risks such as the loss or theft of information or the interruption of services.

Like many technology companies, Microsoft is pinning a lot on AI -- including the areas of speech and image recognition. To help speed up development, and to enable others to start working on their own projects, the company has released an updated, open source version of the Microsoft Cognitive Toolkit. This is a deep learning toolkit, previously known as the Computational Network Toolkit (CNTK), and it's available for anyone to use completely free of charge. The toolkit has applications far beyond speech recognition, and it has already been used in Bing, and the latest version includes support for Python and C . Microsoft Artificial Intelligence and Research has already used the toolkit to develop technology capable of recognizing words in a sentence just as a well as human beings.

A team of researchers in the UK have developed an artificial intelligence (AI) program that can predict the outcome of human rights cases involving torture, degrading treatment, and privacy. The AI -- developed by researchers at University College London (UCL) and the University of Sheffield, alongside Dr Daniel Preoţiuc-Pietro from the University of Pennsylvania -- successfully predicted the verdicts for 79% of 584 cases at the European Court of Human Rights (ECtHR). In order to reach a decision, the AI analysed case text using a machine learning algorithm, the researchers said. The algorithm looked for patterns in the text and was able to classify each case either as a "violation" or a "non-violation". To prevent bias and mislearning, the team selected an equal number of violation and non-violation cases.