Designed to predict and map potential crimes, Solution House Software has announced the launch of their new artificial intelligence (AI) module for Incident Desk. Solution House Software director, Tiaan Janse van Rensburg, says the Incident Desk Predictive Analysis module will initially focus solely on crime, but future versions may be expanded to include other industries such as facility management and maintenance. The narrow focus according to Janse van Rensburg will "allows us to achieve better results and hone the AI engine even further to apply it to other incident management areas." Incident Desk uses a multi-tenant model which combines numerous customer areas, properties and buildings into one solution. This includes urban areas, central improvement districts, neighbourhood watch initiatives, estates, shopping malls and even schools.

Helsinki, Finland - An audience of international peace brokers have gathered inside a room in the historic House of Estates. They have come from South Sudan, the Central African Republic, Ukraine, Colombia and elsewhere to hear a scientist speak. That scientist is Timo Honkela, and his keynote speech on the second day of April's National Dialogues conference is titled Peace from a Different Perspective - a Dialogue of a Million People. But 54-year-old Honkela is working on a machine that he hopes will facilitate world peace. "World peace would be a good goal to work for in my remaining days," he says, smiling over a cup of coffee during a break in the conference.

Roughly speaking, my machine learning journey began on Kaggle. "Regression models predict continuous-valued real numbers; classification models predict'red,' 'green,' 'blue.' Typically, the former employs the mean squared error or mean absolute error; the latter, the cross-entropy loss. Stochastic gradient descent updates the model's parameters to drive these losses down." Furthermore, to fit these models, just import sklearn. A dexterity with the above is often sufficient for -- at least from a technical stance -- both employment and impact as a data scientist. In industry, commonplace prediction and inference problems -- binary churn, credit scoring, product recommendation and A/B testing, for example -- are easily matched with an off-the-shelf algorithm plus proficient data scientist for a measurable boost to the company's bottom line. In a vacuum I think this is fine: the winning driver does not need to know how to build the car.

At Computex this year, chipmakers are looking to bring their processors up to date with support for modern technologies - machine learning, artificial intelligence, augmented reality and virtual reality. ARM, the British semiconductor company (now owned by Softbank) creates reference ARM designs that other OEM's follow. The company will announce its latest ARM Cortex-A75 processor design, which the company claims will provide 22 per cent improvement in performance over the previous Cortex-A73 design. Alongside the A75 design, ARM will also be unveiling the Cortex-A55 design which is expected to provide the highest power efficiency in mid-range processors. In addition, the company will also unveil the Mali-G72 graphics processor which will be a 25 per cent improvement over the erstwhile Mali-G71.

On the eve of Computex, Taiwan's big showpiece event where PC makers roll out the latest and best implementations of Intel CPUs, mobile rival ARM is announcing its own big news with the unveiling of a new generation of ARM CPUs and GPUs. Official today, the ARM Cortex-A75 is the new flagship-tier mobile processor design, with a claimed 22 percent improvement in performance over the incumbent A73. It's joined by the new Cortex-A55, which has the highest power efficiency of any mid-range CPU ARM's ever designed, and the Mali-G72 graphics processor, which also comes with a 25 percent improvement in efficiency relative to its predecessor G71. The efficiency improvements are evolutionary and predictable, but the revolutionary aspects of this new lineup relate to artificial intelligence: this is the first set of processing components designed specifically to tackle the challenges of onboard AI and machine learning. Plus, last year's updates to improve performance in the power-hugry tasks of augmented and virtual reality are being extended and elaborated.

IN JULY 2011 Sebastian Thrun, who among other things is a professor at Stanford, posted a short video on YouTube, announcing that he and a colleague, Peter Norvig, were making their "Introduction to Artificial Intelligence" course available free online. By the time the course began in October, 160,000 people in 190 countries had signed up for it. At the same time Andrew Ng, also a Stanford professor, made one of his courses, on machine learning, available free online, for which 100,000 people enrolled. Both courses ran for ten weeks. Such online courses, with short video lectures, discussion boards for students and systems to grade their coursework automatically, became known as Massive Open Online Courses (MOOCs).

ARM has unveiled a set of new processors to provide the brainpower for our mobile devices to cope with advanced artificial intelligence (AI), virtual reality (VR), and mixed reality (MR) technologies. On Monday, the British semiconductor giant said the new Cortex-A75 and Cortex-A55 processors, alongside the new Mali-G72 graphics processor, have been designed to "address the changing nature of computers driven by AI and other more human-like experiences." "Distributed intelligence" is at the heart of this trend, which includes connecting AI and the cloud, on-device learning, enhanced security and privacy, and the use of 4K, HDR, and 5G for more "human-like" interfaces. ARM says that by providing low-power, efficient and powerful processors, device vendors will be able to explore the possibilities of distributed intelligence, and the new Cortex-A architecture enables system-on-a-chip (SoC) architecture designers to scale up to eight cores in a single cluster. The Cortex-A75 and Cortex-A55 have been designed with this concept in mind.

When ARM showed up at Computex last year, it brought a bundle of smartphone processors that pushed for better mobile VR. As you might've noticed, though, AI is one of the big new trends in mobile this year -- is it any surprise that the ARM's pushing that angle with its latest batch of silicon? First up is the Cortex-A75 CPU core, which the company says can deliver laptop-level performance without burning through any more power than existing mobile processors. ARM is promising a 50 percent boost in performance compared to the older A73 core, which should lend itself well to machine learning processes that run right on your devices. Remember: we're starting to see more smartphones optimize their performance on the fly based on behaviors sussed out by these kinds of algorithms.

Garry Kasparov, one of the greatest chess players of all time, is famous for his pair of faceoffs against the IBM supercomputer Deep Blue. Kasparov won the first match against the computer, 4-2, in 1996, but lost in the rematch, 3½-2½, in 1997. He recently published a book, "Deep Thinking," about the experience. Business Insider recently spoke with Kasparov about Deep Blue, his thoughts on AI, and machine advancements over the past 20 years -- and how he sees the interplay between machine intelligence and humanity. This interview has been edited for clarity and length. Garry Kasparov: AI as a concept is surrounded by mythology. Most of the things we mention we understand. You know, if we say "white," we all see it's white. If we talk about elements of computer science or some general items, we are in agreement.

Inequality goes back to the Stone Age. Thirty thousand years ago, bands of hunter-gatherers in Russia buried some members in sumptuous graves replete with thousands of ivory beads, bracelets, jewels and art objects, while other members had to settle for a bare hole in the ground. Nevertheless, ancient hunter-gatherer groups were still more egalitarian than any subsequent human society, because they had very little property. Property is a pre-requisite for long-term inequality. Following the agricultural revolution, property multiplied and with it inequality.