Guests and members of the media begin to arrive for the Apple Worldwide Developers Conference at the Bill Graham Civic Auditorium, with the Civic Center in the background, in San Francisco, Monday, June 13, 2016.

Driving on today's roadways jammed with automobiles, it is easy to understand the challenges of integrating automated vehicles into the flow of traffic. How do you mix driverless vehicles with the difficult-to-predict movements of vehicles driven by people? How do you convince people to give up the sense of freedom that comes from driving themselves? Clean, electric, robot vehicles would be like R2D2's with seats. If we could use today's roads without human drivers, clean, electric, robot vehicles could already successfully navigate our cities, like R2D2s with seats.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Ensembles can give you a boost in accuracy on your dataset. In this post you will discover how you can create some of the most powerful types of ensembles in Python using scikit-learn. This case study will step you through Boosting, Bagging and Majority Voting and show you how you can continue to ratchet up the accuracy of the models on your own datasets. Ensemble Machine Learning Algorithms in Python with scikit-learn Photo by The United States Army Band, some rights reserved. It assumes you are generally familiar with machine learning algorithms and ensemble methods and that you are looking for information on how to create ensembles in Python.

File-encrypting ransomware programs have become one of the biggest threats to corporate networks worldwide and are constantly evolving by adding increasingly sophisticated detection-evasion and propagation techniques. In a world where any self-respecting malware author makes sure that his creations bypass antivirus detection before releasing them, enterprise security teams are forced to focus on improving their response times to infections rather than trying to prevent them all, which is likely to be a losing game. Exabeam, a provider of user and entity behavior analytics, believes that machine-learning algorithms can significantly improve ransomware detection and reaction time, preventing such programs from spreading inside the network and affecting a larger number of systems. Because the decryption price asked by ransomware authors is calculated per system, isolating affected computers as soon as possible is critical. Only last week the University of Calgary announced that it paid 20,000 Canadian dollars (around US 15,600) to ransomware authors to get the decryption keys for multiple systems.

Celebrating over 30 years on the silver screen, The Terminator is newly released in .999 The first in a planned series release from upstart Stardust Silver is the Cyberdyne Systems T-800 1-ounce silver Reverse Proof medallion. Inscribed on the medallion's reverse is the tagline that launched the movie series: "In the Year of Darkness, 2029, the rulers of this planet devised the ultimate plan. They would reshape the Future by changing the Past. The plan required something that felt no pity.

Pepper is a child-height human-shaped robot described as having been designed to be a genuine companion that perceives and acts upon a range of human emotions. SoftBank, the Japanese telecom giant, acquired Aldebaran Robotics and commissioned the development of Pepper. Subsequently SoftBank joint ventured with Alibaba and Foxconn to form a development, production and marketing entity for the robots. There has been much fanfare about Pepper, particularly about it's ability to use its body movement and tone of voice to communicate in a way designed to feel natural and intuitive. The number of Peppers sold to date is newsworthy.

Singularity University is part business incubator and part think tank founded by Peter Diamandis and Ray Kurzweil in 2008 in the NASA Research Park in Silicon Valley.

Knowledge@Wharton is an online business analysis journal of the Wharton School at the University of Pennsylvania. The era of chatbots is here, with tech giants making a big push for their mass market adoption. Is it time to embrace them? The tech world is all agog these days about chatbots. These are automated computer programs that simulate online conversations with people to answer questions or perform tasks.

Three actors in glittery metallic costumes stand in an office, spouting gibberish at one another: the outcome of an experiment that couldn't be any more predictable. Earlier this week, UK filmmaker Oscar Sharp released Sunspring, an experimental film based on a screenplay developed by an artificial intelligence. The project saw Mr Sharp and technologist Ross Goodwin feeding an artificial long short-term memory neural network (LSTM) an array of science fiction film scripts. Mr Sharp and Mr Goodwin then programmed the LSTM to process the scripts, using cinematic writing conventions to produce a screenplay of its own. Mr Sharp then spent 48 hours developing the script into a film, before releasing it on the Ars Technica Videos YouTube page on June 9.