When on the subject of successful leaders, it is evident that the how and why of success help derive inspiration. Forbes has come up with its second list of game changers--those who are not happy with the status quo and are transforming their industries by making a difference to the lives of their consumers. The youngest game changers are two contenders--Evan Spiegel, 26-year-old CEO of Snap, and Stripe cofounders John (26) and Patrick Collison (28). The oldest is 75–year-old Christo Wiese, chairman of South Africa-based retail company Steinhoff. These are the innovative trailblazers who are redefining and reimagining the lives of people, and taking the requisite action to bring that vision to life. Forbes embarked on this initiative to acknowledge not just typical corporate achievements such as profits and growth, which are largely limited to employees and shareholders, but also the flair for making a true difference to the larger society.

Today, only 25% of rare diseases are accurately diagnosed1. With SOPHiA's applications for exome analysis, this is set to change. The exome is the protein-coding region of the human genome, which represents just 1% of the genome but contains approximately 85% of known disease-causing genetic variants2. SOPHiA takes exome sequencing to new heights, allowing for unmatched analytical performances to detect, annotate and pre-classify disease-related genetic variants over all protein-coding regions of the human genome. Exome sequencing generates large amounts of sequenced data.

Genetic mutations already in the population today may make the X-men movies seem less like science fiction than you think. It turns out that there are some genetic mutations that seemingly give some people superhuman abilities. For example, some people have a very rare genetic mutation that makes muscle cells grow bigger and divide more than usual, resulting in a condition where people, and even children, can look like body builders. A gene mutation is a permanent alteration in the DNA sequence that makes up a gene, such that the sequence differs from what is found in most people. Mutations can be beneficial, harmful or neutral depending on their context and location.

San Francisco: Jensen Huang, co-founder, president and chief executive officer of Santa Clara-based Nvidia Corp., says that the rapid adoption of artificial intelligence (AI) technologies such as machine learning, deep learning, natural language processing and computer vision augur well for the growth prospects of his company. His confidence stems from the fact that Nvidia designs the chips that can deliver the extra computing power that clients need in an algorithm-driven world, which is increasingly using these AI technologies to make business sense of the voluminous data that users generate and thus gain a competitive edge. These chips, called graphics processing units (GPUs), helped Nvidia fuel the growth of the personal computer gaming market almost two decades back. Huang hopes the increasing use of GPUs for AI will help his company repeat the success. Huang argues that even when you increase the number of central processing unit transistors in a computer, they result in a small increase in application performance, whereas GPUs, which are specifically designed to handle multiple tasks simultaneously, make them more suitable for high-performance computing tasks.

ARM is unveiling its first Dynamiq processor designs today, and the company said that the family will boost artificial intelligence performance by more than 50 times over the next three to five years. The new family aims to spread AI processing from the edge to the cloud. The processors include the ARM Cortex-A75, which delivers massive single-thread compute performance at the high end; the ARM Cortex-A55, a high-efficiency processor; and the ARM Mali-G72 graphics processor, which expands the possibilities for virtual reality, gaming, and machine learning on premium mobile devices, with 40 percent more graphics performance. ARM's partners are expected to launch chips in 2018. To better handle AI processing, ARM realized that it needs to make basic changes to the computing architecture, with faster, more efficient, and distributed intelligence between computing at the edge of the network (like in smartphones and laptops) and in the cloud-connected data centers, said Nandan Nayampally, vice president and general manager of the Compute Products Group at ARM, in a blog post. That AI technology also needs to be secure, as recent survey data shows 85 percent of global consumers are concerned about securing AI technology, Nayampally said.

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.