Africa
Lessons From Implementing AI In A People Business
Charles Brayne is EY's UK Chief Tax Innovation Officer and Partner and has a dual role. On the one hand, he works with clients to help them adopt new tax technologies and on the other, he oversees the implementation of AI technologies within EY's own tax business. Meanwhile, as EY's UK Chief Tax Data Scientist, Harvey Lewis works directly with tax and law professionals to create and deliver new AI tools and applications, as well as provide strategic oversight for their automation projects. In this keynote, Charles and Harvey discuss EY's lessons from implementing AI within their own organisation. With flagship shows in San Francisco, London, New York, Munich, Hong Kong, Singapore, and Cape Town, 2019 will see over 30,000 delegates from businesses globally joining the AI revolution through The AI Summit events. The AI Summit series uniquely has the support of tech's elite, with our 2019 Industry Partners featuring Agorai, AWS, IBM Watson, Microsoft, Oracle, Google, HCL, Publicis Sapient, Genpact, Intel alongside 300 sponsors and partners.
Middle East businesses welcome Amazon Web Services region launch
Amazon Web Services (AWS) has connected the Middle East to its global network with the launch of its Bahrain AWS region. The cloud supplier already has infrastructure in the region, but the launch of the Bahrain AWS region, with three datacentres, will connect to its global network. This will bring the Middle East region up to par with its other global AWS regions as the Middle East accelerates its digital transformation. Andy Jassy, CEO at AWS, said the cloud could unlock digital transformation in the Middle East. "Today, we are launching advanced and secure technology infrastructure that matches the scale of our other AWS regions around the world and are already seeing strong demand in the Middle East for AWS technologies like artificial intelligence (AI) and machine learning, data analytics, IoT [internet of things] and much more," he said.
A 2019 Guide to Object Detection
Object detection is a computer vision technique whose aim is to detect objects such as cars, buildings, and human beings, just to mention a few. The objects can generally be identified from either pictures or video feeds. Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we'll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well. Object detection locates the presence of an object in an image and draws a bounding box around that object.
Towards Explainable AI Planning as a Service
Cashmore, Michael, Collins, Anna, Krarup, Benjamin, Krivic, Senka, Magazzeni, Daniele, Smith, David
Explainable AI is an important area of research within which Explainable Planning is an emerging topic. In this paper, we argue that Explainable Planning can be designed as a service -- that is, as a wrapper around an existing planning system that utilises the existing planner to assist in answering contrastive questions. We introduce a prototype framework to facilitate this, along with some examples of how a planner can be used to address certain types of contrastive questions. We discuss the main advantages and limitations of such an approach and we identify open questions for Explainable Planning as a service that identify several possible research directions.
Toward a Dempster-Shafer theory of concepts
Frittella, Sabine, Manoorkar, Krishna, Palmigiano, Alessandra, Tzimoulis, Apostolos, Wijnberg, Nachoem M.
In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief functions as inner measures of suitable probability functions, and a Dempster-Shafer rule of combination on belief functions on formal concepts.
NASA pinpoints four landing spots where it will capture a piece of 'apocalypse asteroid' Bennu
The team leading NASA's first mission to take a rock sample from the asteroid Bennu has selected four sites for the OSIRIS-REx spacecraft to'tag'. The spacecraft has already mapped the entire Bennu meteor - dubbed the'apocalypse asteroid' - in order to identify the safest and most accessible spots to retrieve a chunk of its surface. Now, the four locations will be studied before the final two sites โ a primary and backup โ are selected in December, this year. The OSIRIS-REx sample collection is scheduled for the latter half of 2020, and the spacecraft will return the asteroid samples to Earth on September 24, 2023. Osprey is set in a small crater, 66 feet (20 m) in diameter, which is also located in Bennu's equatorial region at 11 degrees north latitude, while Sandpiper is located in the meteor's southern hemisphere, at 47 degrees south latitude Sites: Nightingale is the northern-most site, situated at 56 degrees north latitude on Bennu, while Kingfisher is located in a small crater near Bennu's equator at 11 degrees north latitude The four candidate sample sites on Bennu are designated Nightingale, Kingfisher, Osprey, and Sandpiper โ all birds native to Egypt. The naming theme complements the mission's two other naming conventions โ Egyptian deities (the asteroid and spacecraft) and mythological birds (surface features on Bennu).
Using machine learning to accelerate ecological research
Using machine learning to accelerate ecological research Using machine learning to accelerate ecological research Share Pushmeet Kohli * External authors The Serengeti is one of the last remaining sites in the world that hosts an intact community of large mammals. These animals roam over vast swaths of land, some migrating thousands of miles across multiple countries following seasonal rainfall. As human encroachment around the park becomes more intense, these species are forced to alter their behaviours in order to survive. Increasing agriculture, poaching, and climate abnormalities contribute to changes in animal behaviours and population dynamics, but these changes have occurred at spatial and temporal scales which are difficult to monitor using traditional research methods. There is a great urgency to understand how these animal communities function as human pressures grow, both in order to understand the dynamics of these last pristine ecosystems, and to formulate effective management plans to conserve and protect the integrity of this unique biodiversity hotspot.
#FinServ_2019-08-11_04-30-57.xlsx
The graph represents a network of 2,229 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 August 2019 at 11:32 UTC. The requested start date was Sunday, 11 August 2019 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 12-day, 3-hour, 52-minute period from Monday, 29 July 2019 at 20:00 UTC to Saturday, 10 August 2019 at 23:53 UTC.
This wearable lets you give voice commands without saying a word Digital Trends
Imagine if you had a version of Amazon's Alexa or Google Assistant inside your head, capable of feeding you external information whenever you required it, without you needing to say a single word and without anyone else hearing what it had to say back to you. An advanced version of this idea is the basis for future tech-utopian dreams like Elon Musk's Neuralink, a kind of connected digital layer above the cortex that will let our brains tap into hitherto unimaginable machine intelligence. Arnav Kapur, a postdoctoral student with the MIT Media Lab, has a similar idea. And he's already shown it off. The current AlterEgo device prototype looks a bit like one of those popstar Britney mics, as imagined by the designers of the Star Trek: The Next Generation TV show.