A unit of Hitachi Ltd. will launch a new venture that uses artificial intelligence to analyze the leftovers of carefully planned hospital meals to ensure patients get the nutrients needed to better facilitate recovery, company officials said Monday. While AI is already being used to calculate calories and nutrients in meals from images taken before people eat, using AI to analyze leftovers from images is rare, according to officials at Hitachi Solutions Create Ltd., which is set to start the business by the end of March 2019. Hospitals prepare meals to accommodate each inpatient's medical needs, but if inpatients fail to eat them completely they may not recover from their illnesses or injuries as expected. To avoid a stalled recovery, the Tokyo-based firm plans to have AI learn what kinds of food or ingredient each patient tends to avoid and help hospitals come up with alternatives to make up for the missed nutrition. The company has already begun testing the system at a major hospital in Japan by taking images of leftovers on trays with cameras installed on trolleys.

Sessions are subject to change. Day & Time: Wednesday, 11:00 AM – 11:45 AM, Grand Oaks A&B Presenter: Jim Breen, Doug Foster Need to get your team trained on InterSystems products quickly? Attend this session to learn how you can get your employees up to speed and add value to your company – fast! Hear how other InterSystems' clients have created successful teams using Learning Services content as one piece of the puzzle, and how you can too! Takeaway: InterSystems Learning Services can help me quickly onboard new employees and grow the skill sets of existing employees. Day & Time: Monday, 2:00 PM – 2:45 PM, Grand Oaks E&F Tuesday, 2:00 PM – 2:45 PM, Grand Oaks C&D Presenter: Andreas Dieckow This session provides an overview of what it takes to move an existing Caché or Ensemble application to InterSystems IRIS Data Platform. You will learn that migration is not urgent (unless you want to take advantage of new features in InterSystems IRIS) but that it is often less complex than you might expect.

Human features as objects of study have been widely used in various machine learning applications -- be it face detection, video surveillance or even the development of autonomous cars. In fact, the task of ascertaining human features becomes the major work of ML systems in these applications. However, in the case of video surveillance, capturing human figures at an aerial level, especially from a moving equipment, becomes very challenging. Due to factors such as video equipment alignment or lighting, the accuracy of detection in the system takes a hit significantly. In order to resolve these issues, researchers are now exploring deep learning (DL) in video surveillance.

In the final article of Information Age's three part series on artificial intelligence in the legal industry, we look at how law firms can adopt AI and if AI represents the future of law. This series has been taken an extensive look – with the help of Geoffrey Vance, the chair of Perkins Coie's E-Discovery Services and Strategy Practice, and Alvin Lindsay, partner at Hogan Lovells – at how technology can disrupt a traditional industry, and emphasised the point that'every company is a technology company'. In the first of this three part series on AI in legal industry, we looked at what the stage of AI adoption in law, and how it is – if at all – creating a more strategic role for associates in law firms. The article established that AI adoption was at a fairly early stage, although its use is not a new phenomenon. It also became clear that, as suggested by a report from ALM Intelligence, AI will be crucial in helping law firms overcome challenges and survive moving forward.

This picture show the facilities of the Google data center in Changhua, central Taiwan, on December 11, 2013. US search engine giant Google announced that it has decided to double its investment in Taiwan to $600 million while opening its first data centre in Asia cashing in on the robust demands. Google is trusting an artificial intelligence (AI) system developed by DeepMind to stop its data centres around the world from overheating. The AI system -- able to reduce the amount of energy Google used to cool its data centres by 40% -- has been giving cooling recommendations to Google's data centre operators since 2016. But now Google is allowing the data centre operators to take a back seat, giving the AI an unprecedented level of autonomy in the process.

Almost half of UAE-based CEOs in the retail industry intend to start using artificial intelligence (AI) in the next two years to enhance the store experience for customers. This is according to the 2018 Global Consumer Executive Top of Mind survey, jointly conducted by KPMG International and The Consumer Goods Forum (CGF). Global CEOs, however, were less optimistic about the adoption of AI, with only 24 percent expressing intent to start using AI over the next few years. They were also less confident about the prospects of technology in retail, with 48 percent saying that brands would use technology to enhance the retail store experience. This is in stark contrast with UAE CEOs, who were confident of harnessing technology to transform the customer experience in-store.

By Manish Upadhyay The debate around Artificial intelligence (popularly called AI) has begun with extreme and not so extreme views about how it will impact jobs and particularly jobs in the MSME sector. The fact of the matter is that technology is ubiquitous, kind of a hygiene in every sector and every job, it's just that with the rise of computing power, server capacity and massive connectivity, the AI promise has become more certain and can't be ignored any further. So what is AI, as the name suggests intelligence as manifested by machines, which tends to mimic human intelligence in some form. Most importantly an AI system needs to be evaluated from what goal it wants to accomplish, largely it can be divided into three groups. Strong AI: which is focussed on actually simulating human reasoning, focussed not only to build systems that think but also to explain how humans think, 2. Weak AI: which is focused on building systems that can behave like humans, but the results will tell nothing about how humans think - IBM Deep Blue Chess programme is one such example.

Japan plans to accept more caregivers from three Southeast Asian countries that have free trade agreements with Tokyo to help address the national labor shortage, sources familiar with the matter said. By easing some restrictions on caregivers from Indonesia, the Philippines and Vietnam, the government will allow more of those with strong proficiency in Japanese to work in Japan starting next April, the sources said Sunday. Under current terms, Japan accepts up to 300 caregivers from each country per year. The government aims to treat those with high language proficiency separately from those groups. The number who want to be caregivers in Japan has been increasing.

You can now buy a holographic'wife' in Japan The unit has been targeted at'single men who live alone'. Image Credit: YouTube / Gatebox Labs The Gatebox virtual assistant takes the form of a holographic anime girl who you can interact with. Voice assistants such as Amazon Alexa and Apple Siri have become increasingly popular in recent years, but now one Japanese company has taken things one step further by transitioning from a purely voice-based system to one that you can practically have a relationship with. Originally only available in a limited capacity to customers who placed a pre-order, the Gatebox virtual assistant appears as a holographic anime girl named Hikari Azuma. In addition to responding to voice commands, Azuma is capable of recognizing her owner's face, controlling various'smart' devices around the home and can even send text messages.

US chipmaker Intel has trained as many as 99,000 developers, students and professors in artificial intelligence (AI) in India since April 2017, against a target of 15,000 for the first year of its programme, according to the tech major. It has also tied up with premier educational institutes like the IITs in Delhi, Mumbai, Kharagpur, Kanpur, Chennai, and IIITs in Bengaluru, Hyderabad, BITS Pilani, ISI Kolkata, IISc Bangalore, CDAC and companies like Shell and TCS among others for training under its AI developer education. "Though we had committed to train 15,000 developers, students, and professors in AI initially through training and workshops, we have already exceeded the target over seven-fold at over 99,000 by roping in many of them from 100 organisations," said Prakash Mallya, managing director for sales and marketing, Intel India. The programme was launched in April 2017 and the initial target was for a year ending April 2018, he said, adding the programme is aimed to democratising AI through collaborations with partners and customers. The company, which organised its first AI developer conference in the country last week in Bengaluru after the initiative in home market US earlier this year, had over 500 developers attending it.