As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.

Never one to shy away from expressing his opinion on all things Apple, Steve Wozniak has now waded into the debate about the firm's tax affairs. Apple's co-founder believes all companies, including the one he started with the late Steve Jobs and Ronald Wayne in 1976, should pay a 50 per cent tax rate as he did. Apple has been criticised over its tax affairs and accused of using tax shelters in order to protect its revenues. Never one to shy away from expressing his opinion on all things Apple, Steve Wozniak (pictured) has now waded into the debate about the firm's tax affairs. Apple's co-founder said he believes all companies, including the one he started in 1976, should pay a 50 per cent tax rate as he did In particular, the firm has been accused of using Ireland and Luxembourg to get tax breaks, allegations being investigated by the European Commission.

German automaker Daimler AG, which makes the Mercedes and Smart car brands in the U.S., said Friday it had launched an investigation, at the request of the U.S. Department of Justice, into how it measures diesel exhaust emissions. The carmaker was approached by USDJ last week, following a class-action lawsuit filed against the company in February. In its statement, released Friday, Daimler dismissed the claims as being "without merit" and said it was cooperating fully with the authorities. The announcement came in the same week which saw Japan's Mitsubishi Motors admitting it had rigged data on some of its models' fuel efficiency, while France's PSA Peugeot Citroen's offices were raided by anti-fraud investigators as part of ongoing investigations in the auto industry. Regulators and carmakers have increased their scrutiny of emission tests in the wake of the Volkswagen emissions scandal, which emerged in late September.

The future of cyber-security looks part human and part machine, according to MIT's Computer Science and Artificial Intelligence Laboratory but what does the broader industry think? According to researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), working with machine-learning startup, PatternEx, the future of cyber-security could be part-human and part-bot. A newly published paper from MIT suggests that the prototype AI2 system it has developed combines machine learning with human analysis to end up with an 85 per cent successful cyber-attack prediction rate. The MIT researchers maintain that analyst-driven security systems miss too many attacks as they rely upon humans to create rules that have to be matched. On the other hand, machine-learning solutions rely upon anomaly-detection which is prone to triggering false positives and so lead to mistrust.

Unless otherwise specified, we will refer to non-GAAP metrics on the call. The non-GAAP measures exclude the net impact from revenue deferrals and the impact of integration and restructuring charges. The non-GAAP financial measures provided should not be considered as a substitute for or superior to the measures of financial performance prepared in accordance with GAAP. They are included as additional clarifying items to aid investors in further understanding the company's third-quarter performance in addition to the impact that these items and events had on the financial results. All growth comparisons we make on the call relate to the corresponding period of last year unless otherwise noted.

These use cases–and so many more–all owe a debt to machine learning. By automatically discovering patterns that lead to insights and creating predictive models that drive actions, the technology has proven its value many times, and to many industries. More recently, machine learning has begun to make a name for itself in the field of cybersecurity. There are multiple reasons that manual cybersecurity practices on their own are no longer sufficient to protect businesses, governments and other organizations. All of these issues are further aggravated by the fact that threats are growing in scale and complexity.

Predicting cyber attacks before they happen have two conventional approaches. One uses a set of indicators specified by an expert, and the other uses machines to detect abnormal activity. The problem with these approaches is that rules are often broken by criminals, and there is just too much abnormal activity flagged, even when these are not attacks. AI² is a collaboration between MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and PatternX, a machine learning startup with a focus on information security and threat prediction. The hybrid platform combines Artificial Intelligence, with Analyst Intuition, to give AI².

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.

The US Army and Marine Corps are set to test tanks with a new version of the iron dome' system developed by the Israeli government. The Trophy Active Protection System (APS) uses sensors to detect an anti tank missile is coming. It then fires small rounds to deflect them, and can also use jammers to mislead the enemy. The system is designed to create a protective field around tanks, shooting down incoming missiles before they detonate. The Trophy Active Protection System (APS) uses sensors to detect an anti tank missile is coming.