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How I became a video game designer: Bugi Kaigwa

USATODAY - Tech Top Stories

Welcome to our series "How I Became a …," where we're digging into the stories of accomplished and influential people and finding out how they got to where they are in their careers. We're finding out what their biggest challenges, their biggest passions and their biggest pieces of wisdom are -- for you. Working in the world of video games is a true dream job, and Bugi Kaigwa, a technical artist at Visual Concepts, is living the dream as a video game designer. Kaigwa, who works on developing the immensely popular NBA 2K basketball games, including this year's NBA 2K17 game, chatted with USA TODAY College about vanilla lattes, hard work and, well, of course video games. Usually, being from Kenya, I am a tea guy -- usually just a ginger tea.


Mobile AI technology boosts African healthcare

#artificialintelligence

The new technology has been launched as part of a cervical cancer prevention campaign across six African countries. The company behind the platform is the nonprofit Pink Ribbon Red Ribbon, and the organization has been working with local health clinics on special screening as well as education events. The new platform consists of an optical accessory that fits onto a Android smartphone and optimizes the device's camera. The clip-on attachment is called the EVA (enhanced visual assessment) Scope. The enhanced optics can be used by healthcare professionals for examining women for early signs of cervical cancer.


Artificial Intelligence in Agriculture - The Challenges

#artificialintelligence

A group of maize farmers stands huddled around an agronomist and his computer on the side of an irrigation pivot in central South Africa. The agronomist has just flown over the pivot with a hybrid UAV that takes off and lands using propellers yet maintains distance and speed for scanning vast hectares of land through the use of its fixed wings. The UAV is fitted with a four spectral band precision sensor that conducts onboard processing immediately after the flight, allowing farmers and field staff to address, almost immediately, any crop anomalies that the sensor may have recorded, making the data collection truly real-time. In this instance, the farmers and agronomist are looking to specialized software to give them an accurate plant population count. It's been 10 days since the maize emerged and the farmer wants to determine if there are any parts of the field that require replanting due to a lack of emergence or wind damage, which can be severe in the early stages of the summer rainy season.


Securing the future with artificial intelligence

#artificialintelligence

Artificial intelligence and the Internet of Things are already transforming modern life, from voice-activated personal assistants, to self-parking cars, to self-configuring conference rooms, to systems that help doctors diagnose disease. As more things become interconnected and AI-enabled, our world becomes smarter, more convenient and more productive. But it also becomes more vulnerable. As the number of connected devices grows--not just smart ones, but also single-purpose sensors capturing the data that fuels AI, like sound, temperature and movement--we vastly increase our exposure to attack. Last October, the Mirai botnet took advantage of hacked IoT devices to take high profile websites such as Twitter, Reddit, Netflix, Airbnb--and, it was rumored (incorrectly), the entire nation of Liberia.


World's last male white rhino getting help from Tinder

Daily Mail - Science & tech

There's just one male northern white rhino left in the world, and he's now on the Tinder dating app as wildlife experts try to keep his species alive. The rhino, named Sudan, will appear as an ad on Tinder as you're swiping through potential suitors – and despite the burden of having to save his species from extinction, he has'no problems performing under pressure.' It's hoped that the'Most Eligible Bachelor in the World' campaign launched by Ol Pejeta Conservancy and Tinder will help raise $9 million towards breeding methods before it's too late. The rhino, named Sudan, will appear as an ad on Tinder as you're swiping through potential suitors – and despite the burden of having to save his species from extinction, he has'no problems performing under pressure' While swiping through Tinder, Sudan will eventually appear. If you swipe right on his profile, it will be a'match.'


Metamorphosis of marketing

#artificialintelligence

I woke up one morning and realised that my whole world had changed. The dawn of the new digital era was upon us as we shifted overnight into a new trajectory. It meant that old rules didn't apply anymore and a new course of action had to be considered and applied. The future used to be more of the same, but now we can expect something different every day. And then it hit me: we are not equipped for this change. While online advertising has become smarter, intuitive and more personal, many brands are lagging behind, quite oblivious to this visible modification.


Encoding Domain Transitions for Constraint-Based Planning

Journal of Artificial Intelligence Research

We describe a constraint-based automated planner named Transition Constraints for Parallel Planning (TCPP). TCPP constructs its constraint model from a redefined version of the domain transition graphs (DTG) of a given planning problem. TCPP encodes state transitions in the redefined DTGs by using table constraints with cells containing don't cares or wild cards. TCPP uses Minion the constraint solver to solve the constraint model and returns a parallel plan. We empirically compare TCPP with the other state-of-the-art constraint-based parallel planner PaP2. PaP2 encodes action successions in the finite state automata (FSA) as table constraints with cells containing sets of values. PaP2 uses SICStus Prolog as its constraint solver. We also improve PaP2 by using dont cares and mutex constraints. Our experiments on a number of standard classical planning benchmark domains demonstrate TCPP's efficiency over the original PaP2 running on SICStus Prolog and our reconstructed and enhanced versions of PaP2 running on Minion.


Madeleine McCann could found by FACEBOOK

Daily Mail - Science & tech

A retired police detective has claimed that Madeleine McCann could be found using facial recognition technology on Facebook. Madeleine vanished from the family's holiday apartment in Praia da Luz in Portugal on May 3, 2007, when she was three years old – with her mother Kate saying the 10th anniversary is a'horrible marker of time, stolen time'. Former Scotland Yard detective chief inspector Mick Neville has revealed that the site's cutting-edge software could help find Maddie, who would now be 14 years old. Mr Neville, a forensics expert, believes the state of the art technology could be used to trace Maddie because of a distinctive blemish in her right eye. He told The Sun: 'If she was still alive -- and there is no proof she is not -- then by using a combined tactic of technology and people with advanced facial recognition skills you could potentially find where Madeleine is today.'


Artificial Intelligence Could Help Diagnose Tuberculosis

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Artificial intelligence models may be the new tool to help screen and evaluate efforts in tuberculosis-prevalent areas that often are plagued by limited access to radiologists. In TB-prone areas, there is a lack of trained radiologists qualified to screen and diagnose TB, which can be done using chest imaging techniques. However, the researchers used deep learning, a type of artificial intelligence that allows computers to complete tasks based on existing relationships of data. They modeled a deep convolutional neural network (DCNN) after brain structure to employ multiple hidden layers and patterns to classify images. "There is a tremendous interest in artificial intelligence, both inside and outside the field of medicine," Dr. Paras Lakhani, study co-author and assistant professor of Radiology at Thomas Jefferson University Hospital (TJUH) in Philadelphia, said in a statement.


How Google Is Using Machine Learning to Fight Malaria

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Tuesday is World Malaria Day. The global health community and a coalition of public-private initiatives has successfully begun taming the scourge, with a 21% decrease in its global incidence between 2010 and 2015; still, there were 212 million malaria cases worldwide and the mortality rate from the disease was 29% in 2015, according to the latest World Health Organization (WHO) figures. One key tactic for fighting infectious diseases like malaria is to pinpoint exactly where they're spreading in order to stop them in their tracks. This way, preventive measures like mosquito control and the deployment of treatment resources can be better targeted. Google, the Bill & Melinda Gates Foundation, and the Clinton Health Access Initiative (CHAI) have banded together with academic and public health partners with this very goal in mind--and are harnessing machine learning through the Google Earth Engine to accomplish it. The organizations are taking part in a Malaria Elimination Initiative effort called project DiSARM which will be piloted in Swaziland and Zimbabwe and uses the Google Earth Engine to map malaria.