I'm really glad I took this mail-order medical-grade microbiome shotgun test to look for warning signs of health conditions. All products featured on WIRED are independently selected by our editors. However, when you buy something through our retail links, we may earn an affiliate commission. Medical-grade shotgun test is the gold standard. "Show the work," so you can see which studies it's referencing. Results can be confusing or conflicting. Need a doctor to understand some of the results. We hear a lot about the microbiome, also known as the zoo of different bacteria living in your digestive system. We know some are good and some are bad.

Nowadays, threat actors are leaning on new tools and techniques to improve the efficiency of their attacks. With attacks increasing in speed, agility, and sophistication, it is critical to maximize artificial intelligence and machine learning approaches to defend against evolving attack techniques. In this Q&A, FortiGuard Labs' Derek Manky and Jonas Walker discuss the changing threat landscape and the role of artificial intelligence and machine learning in fighting today's cyber threats. Derek: We're seeing weekly changes driven by three major factors. One, we're seeing more speed and speed can kill. We often talk about the fact that there's more sophistication and more threats out there.

YOU HAVE to hand it to the "technoking". For all his impish self-aggrandisement, mockery of deadlines, baiting of regulators and soon-to-be sideline as a "Saturday Night Live" comedy host, Elon Musk is deadly serious about technology. So serious, in fact, that as he was discussing the nitty-gritty of neural networks on an earnings call on April 26th, Tesla's boss did not miss a beat when what sounded like his infant son let out a wail in the background. The electric-car maker's record net profit of $438m in the first quarter, the seventh straight in the black, came as an afterthought. Your browser does not support the audio element.

The long-rumored Apple car might finally become a reality. After sputtering in development several years ago and then being shut down before it saw the light of day, the tech giant's car project is apparently back on track. Several outlets, including CNBC and the Wall Street Journal, have reported that Apple is discussing a deal to manufacture a vehicle in the U.S. Apple did not immediately respond to a request seeking comment but the company rarely discusses future products. Given Apple's status as the world's most valuable company – it's worth about $2.3 trillion on the stock market – any new product it's pursuing should be taken seriously. "We continue to believe it's a matter of when, not if, Apple enters the EV race," Wedbush Securities analyst Dan Ives wrote in a research note, referring to electric vehicles.

Get a free trial today and find answers on the fly, or master something new and useful. Jonas argues that "AI is a lie"--meaning that our expectations far outsize the reality of what's currently possible. One of the issues arising from that disconnect is a level of corporate investment in the research process that hasn't been seen before. He argues this has led to "a lot questions about whether robots are going to take our jobs, and these sorts of things, which are all quite premature." Questions of ethics and what role it should play are increasingly arising in machine learning and AI research, especially in the area of science applications.

Senzing, a new artificial intelligence-based (AI) software company, announced its Senzing software product to address the $14.37 billion financial fraud market. Senzing is an IBM spinout that has reinvented entity resolution, which senses who is who in real time across multiple big data sources. Senzing is disrupting the fraud solutions market by offering the first real-time, plug-and-play, AI entity resolution software product for fraud detection, insider threats and more. Now, any company can deploy Senzing to quickly and effectively detect bad actors in their big data. Senzing uses entity-centric learning and other unique techniques to pierce through falsified identities and networks to find criminals.

Machine learning, advanced heuristics, or artificial intelligence: the language is shifting but the idea that computers are taking a greater role in automating security functions is moving straight ahead. Two new product announcements demonstrate that direction in very different ways. Aella Data and Senzing each brings a product based on AI technology to market, and in some ways the products could not be more different in purpose, intended audience, or business model. But both share a critical similarity: Each uses AI to correlate data from many different sources to present information that assists humans in doing their jobs. Aella Data came out of stealth mode just before this year's RSA Conference.

For the last 18 months, Jeff Jonas has been helping banks and government agencies track down criminals. As he puts it, he specialises in "hunting clever bad people". He may sound like a super sleuth, but he is in fact a computer programmer by training. Mr Jonas' startup Senzing has created software that helps global organisations comb through data to catch criminals faster than humans could ever manage. The company has been in "stealth mode" since it spun out of IBM in 2016, but it is has just publicly announced itself as open for business.

General Motors Co. said the robotaxi service it is developing could potentially eclipse the profits it earns in the core automotive business within a decade, an ambitious target based on the company's strategy of lowering its reliance on manufacturing by providing high-margin services. GM executives, speaking at an investor conference Thursday, said the company aims to run a large-scale fleet of driverless cars in big cities by 2019. GM is among the first major driverless-car developers to attach a timeline to the commercialization of autonomous vehicles, and the 109-year-old auto maker is racing big tech companies and Silicon Valley startups to lead the reinvention of the way people own and operate cars. GM last year earned about a profit margin of 7.5% on its $166 billion in annual revenue from global car sales. Chief Financial Officer Chuck Stevens said that the company believes a driverless-car service by 2025 will offer 20% to 30% margins and a "total addressable market of several hundreds of billions of dollars."

When analysts at Morgan Stanley were trying to handicap the driverless car race, their thoughts kept turning to chicken wings. Actually, it makes a certain kind of sense. The analysts concluded that it's a fool's errand to try to call at this point which tech outfits or automakers are on the road to building the best, most profitable autonomous models. Better to focus on the activities -- and the companies selling them -- that will fill our time when we're hanging out in cars with no steering wheels to grip. Which is where the bank's investment picks on snacking (Buffalo Wild Wings Inc.), movie-watching (Walt Disney Co.) and brews (Constellation Brands Inc.) come in.