Situation
How young Lebanese devs are tackling their country's Syrian refugee crisis
What started with a Siri-like chatbot to provide localized refugee information led to various UN agencies backing the idea of a hackathon to develop tech to help in Syria's humanitarian crisis. By February this year, Lebanon was hosting about 1.1 million refugees from neighboring Syria, which amounted to about one in five people in the country, according to Amnesty International. Since then the numbers have continued to grow. Alongside those figures, 4.8 million Syrian refugees are registered with UNHCR in Egypt, Iraq, Jordan, Lebanon, and Turkey. With Syria's civil war and the resulting humanitarian crisis showing no signs of abating, one Lebanon-based US entrepreneur, Mike Clarke, director of The Humanitarian Innovation Lab, is working with agencies like UNHCR, UNICEF, and OCHA "to inspire and cultivate new technologies that can quickly improve the current response to the refugee crisis in Lebanon".
'Natural thermostat' that cools the air in Earth's atmosphere during violent solar storms
Revealed: 'Natural thermostat' that cools the air in Earth's atmosphere during violent solar storms Coronal mass ejections (CMEs) release electrically charged plasma from the sun These also create shock waves similar to supersonic planes making sonic booms The shockwaves heat up and expand Earth's atmosphere However, they also cause nitric oxide to form, which cools it down again Strong solar activity, which includes CMEs, is known to damage satellites, cause power outages back on Earth, and even disrupt GPS navigation services The shockwaves heat up and expand Earth's atmosphere Researchers have pinpointed the'natural thermostat' that cools the air in Earth's upper atmosphere after violent solar storms. What the polar vortex looks like from space: NASA satellite... Juno captures stunning image of one of Jupiter's'pearls':... The'jackpot' under Curiosity's wheels: NASA says rover has... From Saturn's atmosphere to its icy halos: Cassini captures... What the polar vortex looks like from space: NASA satellite... Juno captures stunning image of one of Jupiter's'pearls':... The'jackpot' under Curiosity's wheels: NASA says rover has... From Saturn's atmosphere to its icy halos: Cassini captures... The new study compared two 15-year-long sets of satellite data - one from the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument riding on Nasa's TIMED satellite (illustrated), and the other from US Department of Defense satellites Caught on camera: Checkout line fight erupts over couponing Drag race ends in Lamborghini crashing into other cars Angry motorist challenges traffic warden over'illegal parking' Couponing mom attacked inside store for holding up the line'Scumbag unions': Chants outside Brighton rail station Amir Khan's wife Faryal Makhdoom snapchats an'apology' Real-life Amazon Drone delivery begin trials with no human pilot Feliks Zemdegs breaks Rubik's cube speed-solving world record'We talked about life': Trump and Kanye discuss surprise meet Watch woman get dragged off jet by police in Detroit Impressive fireball lights up Spain's Costa del Sol night sky'We talked about life': Trump and Kanye discuss surprise meet Growing Pains star Alan Thicke, 69, dies suddenly after... Moment an extreme couponer is attacked by a furious customer... IBM to hire 25,000 more workers in the US in the next four... Kanye 2024: Rapper makes VIP trip to Trump Tower to meet... 'I can't feel anything Meg.
Tesla gearing up for new Model 3 but struggling to meet production targets
Tesla Motors missed its vehicle delivery target for the second consecutive quarter and is on track to fall short of its annual target, suggesting the US electric car maker is still wrestling with production issues as it looks to transform itself into a mainstream, high-volume manufacturer. Elon Musk's self-driving evangelism masks risk of Tesla autopilot, experts say Tesla, led by Silicon Valley star Elon Musk, delivered 14,370 vehicles during the second quarter, missing its target of 17,000 vehicles, it said in a statement on Sunday. The company blamed an unusually large number of vehicles still in transit to customers and an "extreme" production ramp that led to almost half of the quarter's vehicles being made in the last four weeks. Tesla said it expects to deliver about 50,000 vehicles during the second half of the year. Having delivered only 29,190 vehicles in the first two quarters, even if it hits that target, it would leave the company just short of the low end of its earlier expectation of 80,000 to 90,000 deliveries this year.
2017 Predictions For AI, Big Data, IoT, Cybersecurity, And Jobs From Senior Tech Executives
'Tis the season for the public relations exercise known as "here's what we think (or hope) will happen in the tech sector next year," flooding my inbox with predictions for 2017. No one knows what will happen tomorrow, let alone over the next 12 months, but the exercise yields interesting insights into what's hot (and what's not) in technology today. Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous "new big thing," big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.
The blind man that convinced Google to launch a self driving car firm
The blind man that convinced Google to launch a self driving car firm: Steve Mahan revealed as first person to ride without a Google engineer on board (and he says it was'like driving with a very good driver') Firm says its cars have now driven three million miles on public roads Legally blind Steve Mahan was the person person allowed to drive solo Mahan said it was'like driving we a very good driver' Google today launched its car firm, to be called Waymo Mahan said it was'like driving we a very good driver' Steve Mahan, former director of the Santa Clara Valley Blind Center used one of Google's cars on his own in Austin in October 2015 - convincing the firm to spin out its project as car firm Waymo. Your left hand really DOES know what your right hand is... The'internet of the road': Government proposals call for... AirPods are FINALLY here after months of delays: Apple's... Your left hand really DOES know what your right hand is... The'internet of the road': Government proposals call for... AirPods are FINALLY here after months of delays: Apple's... The car Mahan rode in had a back up computers and multiple systems go control it.
2017 Predictions For AI, Big Data, IoT, Cybersecurity, And Jobs From Senior Tech Executives
'Tis the season for the public relations exercise known as "here's what we think (or hope) will happen in the tech sector next year," flooding my inbox with predictions for 2017. No one knows what will happen tomorrow, let alone over the next 12 months, but the exercise yields interesting insights into what's hot (and what's not) in technology today. Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous "new big thing," big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.
How IoT and machine learning can make our roads safer
Ben Dickson is a software engineer and the founder of TechTalks. The transportation industry is associated with high maintenance costs, disasters, accidents, injuries and loss of life. Hundreds of thousands of people across the world are losing their lives to car accidents and road disasters every year. According to the National Safety Council, 38,300 people were killed and 4.4 million injured on U.S. roads alone in 2015. The related costs -- including medical expenses, wage and productivity losses and property damage -- were estimated at $152 billion.
IBM's Watson for Cyber Security puts a new face on machine learning
IBM Watson may be able to win Jeopardy!, but security experts are skeptical about the technology's ability to defeat today's cyberthreats. The IBM Watson for Cyber Security beta program launched this week with 40 partners around the world in an effort to help security analysts make better, faster decisions from vast amounts of data, but experts said this is the same promise offered by many other products. IBM said Watson for Cyber Security will feature natural language processing that can help it to "understand the unique language of security." "The truth is, a lot of security vendors today are attaching [artificial intelligence] or cognitive to a number of products that are really just advanced analytics or machine learning, which are also important elements that can help in the fight against cybercrime," Diana Kelley, executive security adviser for IBM Security, told SearchSecurity. "What Watson will bring to the equation that is unique is the ability to digest vast amounts of both structured data, as well as all of the intelligence that exists in natural language, like blogs, white papers and research reports. For example, there are around 10,000 security research papers published each year, and 60,000 security blog posts published every month."
Machine-Learning Algorithms Improve Detection Time For Modern Threats - Dark Reading
Artificial intelligence and machine learning have become key drivers of innovation. Machine-learning algorithms significantly improve detection time for modern threats, as they can analyze large amounts of data significantly faster than any human could. If trained to accurately detect various types of malware behavior, machine-learning algorithms can have a high detection rate, even on new or unknown samples. The merging of human ingenuity with the speed and relentless data analysis of machine learning significantly accelerates reactions against new malware, offering protection even from previously unknown samples – advanced persistent threats, zero-day attacks, and ransomware. Detecting ransomware, for example, requires several algorithms, each specialized in detecting specific families with individual behaviors.
2017 Predictions For AI, Big Data, IoT, Cybersecurity, And Jobs From Senior Tech Executives
'Tis the season for the public relations exercise known as "here's what we think (or hope) will happen in the tech sector next year," flooding my inbox with predictions for 2017. No one knows what will happen tomorrow, let alone over the next 12 months, but the exercise yields interesting insights into what's hot (and what's not) in technology today. Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous "new big thing," big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.