Fintech Limeglass has launched to'atomise' research by using technology to tag reports in real-time so that they can be easily and quickly searched by the recipient at a granular level. Rowland Park, chief executive and co-founder of Limeglass, said in a report this week that the research market needs innovation as the majority of reports are still being consumed by the buy side as multiple page PDF and HTML documents sent by email, despite advances in technology. Park has more than 30 years' experience in the research industry and founded and grew start-ups IDEA Global and 4CAST, which focused on macroeconomics, policy and financial markets intelligence. Park wrote in the report that financial decision making rests on a three-legged stool – market data; breaking news; and research, which provides wider context for decision making. "The development of tools to better handle market data and breaking news have transformed, and continue to transform, the way activity in the financial markets is conducted," he added.

At last, it is here! Few new technologies have ever been more anticipated and more predicted than the self-driving car. Anyone who drives cannot help but imagine not having to drive any more. It has been said that they will change our cities, our homes, our commerce, even our fundamental way of life. But at the same time, the actual progress has seemed … well … glacial, to the casual driver's eye.

Critically, HR administrators should have the option to clarify how their innovation settled on choices and landed at its decisions in the direst outcome imaginable in light of the fact that at a separation case in court or council – there is no adequate "discovery" answer. By guaranteeing this "reasonableness" is incorporated with the determinations, calculations and procedures of the program from the earliest starting point, the option "glass box" approach implies you cause trust from the two candidates and representatives, and guarantee a degree of straightforwardness that holds up to investigation. The customary guidelines, for example, the Equalities Act still apply, inclination in enrolment is as yet dependent upon similar laws and consistently will be. Any enrolment procedure should be straightforward and logical, which is the reason it's so critical to incorporate specialists on HR law directly from the plan organize.

Organizations are beginning to grasp the severity of burnout and the impact it has on your life and health in the long term. Work can be stressful, and due to many factors including a combination of hours, tasks, measurement and intensity, some jobs result in mental, physical and emotional exhaustion. If stress accumulates to a breaking point, you reach overload, fatigue and ultimately burnout. A survey reported this month by Skye Learning found that a majority of American workers report job burnout. Gallup studied nearly 7,500 full-time employees and found that 23% reported feeling burned out at work very often or always, while an additional 44% reported feeling burned out sometimes.

The fulfilment centre is in Sahakar Nagar in northern Bengaluru, on the top floor of a small building that also houses a diagnostic centre run by Medlife. Within minutes, the medicines, sourced either from pharmaceutical companies or their distributors, are sorted by workers into colourful trays on a long table. The workers then check the name, quantity and price of the medicines against the purchase order. For this they use the internal app designed by Medlife to manage its supply chain. The products are also checked for damage and expiry date.

Last week, Google sparked controversy in the scientific community by claiming that it has achieved the anticipated milestone known as quantum supremacy. In a paper published in Nature, Google described the experiments conducted on a new quantum machine, code named Sycamore, which proof the famous benchmark. It only took a few hours for IBM, Google's archrival in the race towards quantum dominance, to publish a paper refuting Google's claims sparking a passionate debate within the computer science community. Despite the controversy surrounding Google's claims, there is no doubt that the release of Sycamore represents a major milestone to demonstrate the viability of quantum systems and it has profound ramifications across other technology fields. In the case of artificial intelligence(AI), there has been a lot of speculation in terms of how the advent of quantum computing will affect AI programs. However, not many people think about how AI can influence the development of quantum computing.

Others can attend online over Webex. AI is slowing moving to IoT edge devices and pushing the limits and capacity of edge systems. Where there is an increased effort to improve hardware design considerations such as power, latency, throughput, cost, reliability, bandwidth, privacy and security with full support from economies/markets of scale, it still falls short on the demand. This talk will present the efforts at working on a compilers enabling machine learning models to perform on small formfactor like microcontrollers, which are part of all sorts of household devices: think appliances, cars, and toys. In fact, there are around 30 billion microcontroller-powered devices produced each year.

The political drumbeat could help create a national consensus around the critical nature of AI, says Jon Bateman, a fellow at the Carnegie Endowment for International Peace and former Pentagon strategist. Still, there is an "asymmetry between the United States and China," says Tarun Chhabra, a senior fellow at Georgetown's Center for Security and Emerging Technology. "[T]he Chinese Communist Party's whole technology worldview is driven, not merely charged, by the imperative of consolidating social control and emerging dominant in geopolitical competition." That means the Chinese government can direct companies to work on a problem it decides is pressing, while the U.S. has to convince companies the problem is worthy of their investment. The political drumbeat could help create a national consensus around the critical nature of AI, says Jon Bateman, a fellow at the Carnegie Endowment for International Peace and former Pentagon strategist.

Having recently published our Top 20 Global Thought Leaders and Influencers on Artificial Intelligence (September 2019), we asked a selection of our Thinkers360 global influencers about their predictions for AI in 2020. Here's what they told us… When data and algorithms are king, then moral and ethical integrity is queen. In light of the Cambridge Analytica scandal, the New York Times ran a headline: "Don't Fix Facebook. In the intelligent age, organizations will win in the long-term when their leadership is based on a moral and ethical foundation – something only humans can provide. The European Commission's ‚ethics for trustworthy AI'-initiative marks a milestone on the road towards the responsible development and deployment of human-centric AI.

The big idea behind machine translation is the understanding that words are related to each other in similar ways, regardless of the language involved. So the process begins by mapping out these relations for a specific language. This requires huge databases of text. A machine then searches this text to see how often each word appears next to every other word. This pattern of appearances is a unique signature that defines the word in a multidimensional parameter space. Indeed, the word can be thought of as a vector within this space. And this vector acts as a powerful constraint on how the word can appear in any translation the machine comes up with. These vectors obey some simple mathematical rules.