For the many potential application areas where artificial intelligence can deliver breakthrough transformation, unlock efficiencies and augment human life, one of the most impactful areas – at least in the Indian context – will be the value it can bring to the field of agriculture. According to Indian Brand Equity Foundation, nearly 58% of India's population relies on agriculture as their primary source of livelihood. The total export of agricultural commodities for India is expected to hit $38.1 billion in FY18, making the country one of the top 15 exporters globally. However, agriculture in India is riddled with systemic problems, which AI is well placed to address. First, the traditionally unorganised agriculture sector continues to be difficult to organise due to our vast geography combined with our cultural and linguistic diversity.

A new wave of technologies is changing every aspect of human life–from online shopping and scheduling a ride with Uber to completing wells and managing reservoirs. The stuff of science fiction is becoming science fact. The HR Discussion team, via this article, aims to inform young professionals (YPs) about three trends that will change the way we will work in the future. These three trends are introduced in the form of three key questions for YPs. Everything– and everyone–will be measured, recorded, analyzed, and rated.

Machine-learning and artificial intelligence algorithms used in sophisticated applications such as for autonomous cars are not foolproof and can be easily manipulated by introducing errors, Indian Institute of Science (IISc) researchers have warned. Machine-learning and AI software are trained with initial sets of data such as images of cats and it learns to identify feline images as more such data are fed. A common example is Google throwing up better results as more people search for the same information. Use of AI applications is becoming mainstream in areas such as healthcare, payments processing, deploying drones to monitor crowds, and for facial recognition in offices and airports. "If your data input is not clear and vetted, the AI machine could throw up surprising results and that could end up being hazardous. In autonomous driving, the AI engine should be trained properly on all road signs. If the input sign is different, then it could change the course of the vehicle, leading to a catastrophe," R Venkatesha Babu, Associate Professor at IISc's Department of Computational Sciences, told ET. "The system also needs to have enough cyber security measures to prevent hackers from intruding and altering inputs," he said.

Australia's current government has a protectionist policy on fossil fuels that caused Australia to miss a big opportunity in renewables, but fossil fuels only contribute about 3% of GDP. Action on climate change is important but the impact of AI could be comparable in scale and impact. The coming AI revolution, that most of the population is not yet awake to, is going to turn the global economy upside down. Yet the Australian Government's announced just $29m over 4 yrs in The Budget. "Paltry" is the only word I can use to adequately describe that.

Channel State Information (CSI) of WiFi signals becomes increasingly attractive in human sensing applications due to the pervasiveness of WiFi, robustness to illumination and view points, and little privacy concern comparing to cameras. In majority of existing works, CSI sequences are analyzed by traditional signal processing approaches. These approaches rely on strictly imposed assumption on propagation paths, reflection and attenuation of signal interacting with human bodies and indoor background. This makes existing approaches very difficult to model the delicate body characteristics and activities in the real applications. To address these issues, we build CSI-Net, a unified Deep Neural Network (DNN), that fully utilizes the strength of deep feature representation and the power of existing DNN architectures for CSI-based human sensing problems. Using CSI-Net, we jointly solved two body characterization problems: biometrics estimation (including body fat, muscle, water and bone rates) and human identification. We also demonstrated the application of CSI-Net on two distinctive action recognition tasks: the hand sign recognition (fine-scaled action of the hand) and falling detection (coarse-scaled motion of the body). Besides the technical contribution of CSI-Net, we present major discoveries and insights on how the multi-frequency CSI signals are encoded and processed in DNNs, which, to the best of our knowledge, is the first attempt that bridges the WiFi sensing and deep learning in human sensing problems.

GITEX Technology Week and GITEX Future Stars are ready to throw open the door to the future as the 2018 editions of the mammoth global tech events gear-up to offer a hands-on exploration of the digital tech set to transform how we live. From emergency-service rescue robots, through VR for the workplace, to the intelli-tech allowing entire cities to be run by Artificial Intelligence (AI), GITEX Technology Week – taking place at the Dubai World Trade Centre, October 14-18 – is inviting visitors to'Experience Future Urbanism' at a show buzzing with the unveiling of both cutting edge soft and hardware which developers say will realign everything we know about travel, work and play. The five-day tech summit is held side by side with GITEX Future Stars (October 14-17); the MENA region's hottest platform for bringing award-winning'techpreneurs' to investors, where over 850 international startups will have the chance to meet more than 1,500 investors and corporate buyers. Think products that are beyond reality: AI that can interpret emotion through voice (Empath Inc) or predict fashion trends (Stylumia); a wearable, real-time translation earpiece (Timekettle); or even Healthcare firm Bioniks, who have amalgamated robotics and 3D printing to create Iron Man style prosthetics. Developers of space tech will also be involved, shooting for the stars in the Mohammed Bin Rashid Space Centre's Innovation Cup – one of four industry-sponsored Innovation Cups.

Editor's note: Kanupriya Agarwal, MD, is Digital Health Physician, Icahn School of Medicine at Mount Sinai. This blog originally appeared on OliverWyman.com Although healthcare's first use case of artificial intelligence was nearly 70 years ago, its real focus and impact has only recently being actualized. Quantifying artificial intelligence's direct impact through both key performance metrics and via the explosion of data analytics within the last decade has advanced implementation of machine learning and artificial intelligence solutions. But pinpointing artificial intelligence's potential to shape the health market is yet to be determined.

Keeping in mind the overall trustworthiness of the website itself--and checking its Wikipedia page, if it has one--is a good step for regular people, too. For example, in August, Facebook and a cybersecurity firm announced they'd uncovered "inauthentic" news coming out of Iran. One of the websites associated with Iran was called the Liberty Front Press; they called themselves "independent" but appeared to actually be pro-Iran. And tellingly, the site does not appear to have a Wikipedia page. Of course, the MIT research group aren't the only ones using AI to analyze language like this: a Google-made AI system called Jigsaw automatically scores the toxicity of reader comments, and Facebook has turned to AI to help augment its efforts to keep hate speech at bay in Myanmar.

In the previous two episodes, Bryson cut through the smoke and mirrors around resistance to AI regulation, and broke down the importance of due diligence in the software development process. In this final installment, Bryson revisits the challenge of rooting out AI bias, explains why machines won't take over the world, and reveals the secret to AI success. Hope you enjoy the conversation. Appian: Earlier you said that you don't think a company on a mission to "move fast and break things" will be able to prove they did due diligence, when bad things happen with their software. Bryson: No matter what industry you're in, you should be able to show that you followed very careful methods of software construction--including using machine learning.

British security services have spoken out about claims that China managed to plant tiny chips in computers that made their way across the US. The bombshell report came from Bloomberg News this week and alleged that special agents in the People's Liberation Army had dropped tiny components into computer hardware before it left the country. It would eventually go on to be used by companies including Amazon, Apple and many others, as well as the US defence establishment. Such a hack would allow spies to look in on messages being sent across Apple's cloud services, for instance, and intercept messages as soon as they are sent. And a hardware breakthrough of that kind would mark a step change in the kind of hacks that are possible, since they could not be easily found or fixed.