US military says drone strike in Somalia kills 4 al-Shabab extremists; 5th strike this year.

This undated handout photo issued by Counter Terrorism Policing North East shows Sudanese asylum seeker Munir Mohammed. A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com On Thursday, Feb. 22, 2018, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

MOGADISHU, Somalia – The United States military for the second straight day is announcing a drone strike that killed al-Shabab extremists in Somalia. The U.S. Africa Command says the strike on Wednesday killed four "terrorists" near Jamaame in Lower Juba region in the south. The statement says the U.S. assesses no civilians were killed. The U.S. on Wednesday said a drone strike killed three al-Shabab extremists near Jilib town in Middle Juba region earlier this week. This latest U.S. drone strike is the fifth this year in Somalia.

LONDON – A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com Last month, a jury at London's Central Criminal Court found them guilty of preparing terrorist acts. On Thursday, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

Deep learning is a sub-field of machine learning which uses several learning algorithms to solve real-world tasks as image recognition, facial detection, signal processing, on supervised, unsupervised and reinforcement learning of feature representation at successively higher, more abstract layers. Those algorithms are artificial models such as Convolution Neural Networks (CNN), Deep Belief Networks (DBNs), Recurrent Neural Networks (RNNs) and Auto-encoders (AE). Even with the growth and success on many application of deep learning, some issues still remain unsolved in general. One of these issues is the catastrophic forgetting problem [1]. This issue can be seen as an handicap to develop truly intelligent systems. Catastrophic forgetting arises when a neural network is not capable of preserving the past learned task when learning new task. There are some approaches that benefit from previously learned information to improve performance of learning new information, for example fine-tuning [2] where the parameters of the old task are adjusted for adapting to a new task. Other approach well known is feature extraction [3] where the parameters of the old network are unchanged and the parameters of the outputs of one or more layers are used to extract feature for the new task.

Researchers now believe that language might have developed from cave drawings. Specifically, they think the ancient artwork located in caves with good acoustics might have inspired humans to develop the vocal communication that exists today. A new report on the theory from the Massachusetts Institute of Technology hinges on the fact that caves allow for echoes. The researchers think that previously discovered cave drawings prove that the fundamental parts of speech were derived from artwork. The MIT team that worked on the new analysis said that taking a look in the depths of ancient caves can provide modern humans with answers about where languages stemmed from.

With a financial services industry increasingly reliant on technology, cyber-threats are a real, and for many organisations, persistent threat. There have been numerous examples of cyber-crime and internal fraud that have resulted in data leaks and/or financial losses. Firms are being required to be more vigilant when it comes to their technology, with greater pressure to improve both network resiliency and security. This is where firms like NetGuardians can assist, offering solutions to the industry to protect against fraud and cyber-crime. "We are helping to detect and reduce false positives and detect criminal activities via our innovative technology based on big data and machine learning" says Maio. Maio and his associate started the firm ten years ago in Switzerland and have now expanded overseas with offices in Kenya, Poland and Singapore.

IN its bid to adopt next generation technologies like AI, machine learning, big data and more in business and management practices while expanding collaborative efforts with other organizations, LG's has launched its CLOi Robot at CES 2018. The CLOi Robot made its debut appearance at the recently concluded LG MEA Innofest 2018, just as LG has announced the creation of ThinQ brand to identify all of its 2018 home appliances, consumer electronics and services that utilize artificial intelligence. Speaking on the smart products, Mr. Kevin Cha, President LG Electronics Middle East & Africa enthused; "LG ThinQ products and services will all have the ability to employ deep learning and communicate with one another, utilizing a variety of AI technologies from other partners as well as LG's own AI technology, DeepThinQ. "The advancements in AI and robotics are expected to transform lifestyles and industries around the world, ultimately improving humankind's experiences from reducing repetitive tasks at home or work to even eliminating age-old malignant practices. This is why significant investments will be made in this area.

Gone are the days of building just another boring website to have a digital presence. We have entered a new era where everything is connected to build next-generation digital experiences. The introduction of the iPhone in 2007 marked the mobile revolution which has entirely changed users' expectations of the web and the digital experiences it generates. This situation started a ripple effect and with the rise of the mobile Internet, we shifted away from installed software on our desktops to mobile apps at our fingertips. The explosion of mobile apps reached a tipping point in 2008, and just like every other technology trend, it settled in over time.