Effectively managing and storing trade data will ensure that technology used to comply with current regulations remains usable for future requirements, says the chief product and engineering officer, Calypso. "[Having] data in a consistent format, where applications dealing with different product types, different parts of the trade life cycle and workflow are all contributing to that data source, and reading from that same data source, makes the job of reporting on that data so much easier," says Calypso's Richard Bentley. "Without that, for every single regulation that comes along, you are going to have to go to every application involved in the workflow that is impacted, modify those applications to extract the right data from each, pull it all together in a consistent format, try to transform and enrich it - and do that continually." In the 2019 bobsguide Rankings – announced in late November – Calypso ranked top for both regulatory compliance and integration with other systems. The firm came second in the degree of straight-through processing category.

Effectively managing and storing trade data will ensure that technology used to comply with current regulations remains usable for future requirements, says the chief product and engineering officer, Calypso. "[Having] data in a consistent format, where applications dealing with different product types, different parts of the trade life cycle and workflow are all contributing to that data source, and reading from that same data source, makes the job of reporting on that data so much easier," says Calypso's Richard Bentley. "Without that, for every single regulation that comes along, you are going to have to go to every application involved in the workflow that is impacted, modify those applications to extract the right data from each, pull it all together in a consistent format, try to transform and enrich it - and do that continually." In the 2019 bobsguide Rankings – announced in late November – Calypso ranked top for both regulatory compliance and integration with other systems. The firm came second in the degree of straight-through processing category.

In the Aortic session at this year's Controversies and Updates in Vascular Surgery meeting (CACVS; 23–25 January, Paris, France), Stéphan Haulon and Dominique Fabre will discuss the rise of artificial intelligence (AI), informing delegates how this technology could be the solution for aortic aneurysm follow-up. Here, they give a summary of their key points. AI applied to medicine has been growing exponentially in recent years, according to the number of scientific publications in the field.

At CES 2020, Samsung's STAR Labs research group unveiled Neon, a simulated human assistant, an animated "chatbot" that appears on a screen and learns about people in order to provide intelligent and life-like responses. These "artificial humans" will be able to give responses to questions in milliseconds. Companies and people will be able to license or subscribe to Neons, with the goal of enhancing customer service interactions. Said Samsung, "Over time, Neons will work as TV anchors, spokespeople, or movie actors; or they can simply be companions and friends." Samsung indicated that Neon will be beta launched with selected partners later this year.

New research has found that artificial neural networks can evolve to perform tasks without learning. A study found artificial neural networks can evolve to perform tasks without learning. Such networks usually adjust the weight or strengths of the connections between computing elements (neurons), and the new technique looks for networks for which the weights are irrelevant. Starting with an array of simple networks that connects inputs to behavioral outputs, the process assesses the nets' performance on a given task, retains the best-performing networks, and adds a neuron or link or adjusts a neuron's sensitivity to the total of its inputs. A shared random number is then assigned to all of a network's weights to yield Weight Agnostic Neural Networks.

LAS VEGAS - A new idea surrounding IoT will steer how technology will go in the new decade - instead of standing for the Internet of Things, the acronym should stand for the "intelligence of things", said Consumer Technology Association's (CTA) vice president of research Steve Koenig. "This new IoT bears testimony to the extent that artificial intelligence (AI) is permeating every facet of our commerce and our culture. "Now, commerce is pretty well-understood and we endorse that as we want to advance our economies around the world, but culture is really interesting to me as a researcher, because we're talking about technology's influence on human behaviour," he said. He brought up the example of how fast food giant McDonald's is looking at bringing AI-powered voice assistants to its drive-through restaurants in the United States. "People working in fast food - they've got a tough job.

WASHINGTON – With presidential tweets in Persian and stern warnings to the regime, Donald Trump's administration is rallying behind the latest protests in Iran -- and renewing suspicions that his real goal is regime change. Just a week ago, massive crowds took to the streets in Iran to mourn powerful Gen. Qassem Soleimani, who was killed in a U.S. drone strike in Baghdad, and Tehran fired retaliatory missiles at U.S. forces in Iraq without inflicting casualties. Trump's response was, briefly, unusually conciliatory -- seeking a de-escalation with Iran and noting that they shared common interests, including fighting the Islamic State group. But all has changed since Saturday, when Iran admitted that it accidentally shot down a Ukrainian passenger jet, killing 176 people, setting off a new round of protests by Iranians furious at the deaths and the regime's initial denial. The tragedy has "turned the tide against the Iranian leadership again," said Ali Vaez, director of the Iran Project at the International Crisis Group, which promotes conflict resolution.

WASHINGTON – For all of the Trump administration's insistence that the threat of an "imminent" attack led to the American drone strike on Iran's top general, U.S. officials behind the scenes say the strike was motivated as much, if not more, by a broader effort to rein in a dangerously emboldened Iran. Secretary of State Mike Pompeo and Attorney General William Barr gave voice to the broader rationale on Monday, saying deterrence was a key component of the strike. But they, like other U.S. officials interviewed by The Associated Press, stopped short of saying definitively that no specific plot was broken up. Still, the shifting rationale has raised questions about the nature and credibility of the threat posed by Gen. Qassem Soleimani, the architect of a decades-long reign of terror in which Iranian proxy fighters killed hundreds of Americans and contributed to the deaths of hundreds of thousands in the region. Critics of President Donald Trump's decision say he should have consulted Congress before taking an action that brought the United States and Iran to the brink of war.

LG is throwing its resources behind developing a new breed of AI assistants that can be used to control aspects of cars. The Korean tech company said it has partnered with AI company Cerence to make an AI voice-assistant that is capable of being used to control various aspects of car's entertainment system, navigation, calling and more. That AI assistant, once completed, will eventually be integrated into the company's webOS software that, similarly to Apple CarPlay, powers computers inside vehicles. LG is planning on leasing its AI assistant out to auto manufacturers in search of an added dose of technology in their vehicles. The company's decision to enter the ring on developing an in-car voice assistant comes at a time when other major auto-manufacturers have also announced their intention to create similar products.

We present a new hybrid physics-based machine-learning approach to reservoir modeling. The methodology relies on a series of deep adversarial neural network architecture with physics-based regularization. The network is used to simulate the dynamic behavior of physical quantities (i.e. saturation) subject to a set of governing laws (e.g. mass conservation) and corresponding boundary and initial conditions. A residual equation is formed from the governing partial-differential equation and used as part of the training. Derivatives of the estimated physical quantities are computed using automatic differentiation algorithms. This allows the model to avoid overfitting, by reducing the variance and permits extrapolation beyond the range of the training data including uncertainty implicitely derived from the distribution output of the generative adversarial networks. The approach is used to simulate a 2 phase immiscible transport problem (Buckley Leverett). From a very limited dataset, the model learns the parameters of the governing equation and is able to provide an accurate physical solution, both in terms of shock and rarefaction. We demonstrate how this method can be applied in the context of a forward simulation for continuous problems. The use of these models for the inverse problem is also presented, where the model simultaneously learns the physical laws and determines key uncertainty subsurface parameters. The proposed methodology is a simple and elegant way to instill physical knowledge to machine-learning algorithms. This alleviates the two most significant shortcomings of machine-learning algorithms: the requirement for large datasets and the reliability of extrapolation. The principles presented in this paper can be generalized in innumerable ways in the future and should lead to a new class of algorithms to solve both forward and inverse physical problems.