GoPro CEO Nick Woodman says the company's newly unveiled Karma drone is more than just a drone. That's true, a grip handle that connects to a GoPro Hero 4 or Hero 5 series action camera also screws out of the drone's body to become a handheld stabilizer. But consumers have waited a long time for the Karma, and consumer drone leaders like DJI have built up fantastic quadcopters with advanced computer vision. How does the Karma compare? I flew one to find out. SEE ALSO: GoPro finally shows off its foldable Karma drone, and it's super sleek At 799.99 for the drone package, which comes with two batteries, a Karma Grip handheld stabilizer and a backpack to store it all, the Karma is a very attractive when compared to DJI's Phantom 4, which costs 1,100.

Google isn't the only tech giant hoping that artificial intelligence can aid the fight against cancer. Microsoft has unveiled Project Hanover, an effort to use AI for both understanding and treating cancers. To begin with, the company is developing a system that would automatically process legions of biomedical papers, creating "genome-scale" databases that could predict which drug cocktails would be the most effective against a given cancer type. An ideal treatment wouldn't go unnoticed by doctors already swamped with work. Microsoft is also teaming with the Knight Cancer Institute on AI that would personalize those drug mixes on a patient-by-patient basis.

Machine learning can predict strains of bacteria likely to cause food poisoning outbreaks, research has found. The study – which focused on harmful strains of E. coli bacteria – could help public health officials to target interventions and reduce risk to human health. Researchers at the University of Edinburgh's Roslin Institute used software that compares genetic information from bacterial samples isolated from both animals and people. The software learns the DNA signatures that are associated with E. coli samples that have caused outbreaks of infection in people. It can then pick out the animal strains that have these signatures, which are therefore likely to be a threat to human health.

A few months ago, my aunt sent her colleagues an email with the subject, "Math Problem! She thought her solution was obvious. Her colleagues, though, were sure their solution was correct – and the two didn't match. Was the problem with one of their answers, or with the puzzle itself? My aunt and her colleagues had stumbled across a fundamental problem in machine learning, the study of computers that learn.

Steve recognises the "disruptive and pervasive" impact AI is already having on business: "AI is enabling companies to achieve improved operational efficiency, develop new and improved products and services, and most significantly entirely new business models. Universities are particularly well suited for interdisciplinary approaches that include multiple technical disciplines as well as the liberal arts, humanities, arts, and social sciences. "Data sharing agreements with appropriate protections for sensitive confidential information enable university data science researchers to develop practical algorithms using real-world data. Municipal, state, and national governments are working to improve accessibility and the democratization of data.

Artificial intelligence (AI) is no longer a futuristic concept, it's a staple of today. From virtual personal assistants like Siri and Cortana, to image scanners built to identify diseases, to Google's or Tesla's self-driving cars, AI is becoming a part of everyday technology. According to a MarketsandMarkets report, the artificial intelligence industry is estimated to reach USD 5.05bn by 2020, growing at an annual growth rate (CAGR) of 53.65% between 2015 and 2020. One reason for this significant growth is the increased use of machine learning technology – a subcategory of AI where computers learn from data themselves in the advertising and media industry. Machine Learning has a huge impact on the advertising ecosystem already.

We already know how artificial intelligence has been affecting marketing, with everyone from Netflix to Under Armor utilizing data to improve customer experience, but how exactly can market researchers hope to use AI? And apart from all those hip and trendy businesses using it that we hear about – are there really any implications for non-tech related companies?

Christoffer O. Hernæs is vice president of Strategy, Innovation and Analysis at Sparebank 1 Group, Norway's second-largest financial institution. When I was growing up, my father often told me that Andy Warhol once said that he wanted to be a machine, and that it would be a lot easier to be a machine -- if something broke, you could just replace it. Even though small wounds and injuries heal, this has not been the case for humans. If something were inherently broken, it would stay broken the rest of our lives. Which relates to another common saying: The only two things in this world that are certain are death and taxes.

Microsoft is working towards fighting cancer using computer science such as machine learning and algorithms. By treating cancer like an information processing system, Microsoft researchers are able to adapt tools typically used to model computational processes to model biological ones. Ultimately, the company hopes to create molecular computers to program the body to fight cancer cells immediately after detection. "We are trying to change the way research is done on a daily basis in biology," said Jasmin Fisher, a senior researcher who works in the programming principles and tools group in the Microsoft's research lab in Cambridge. This is combined with a data-driven approach; putting machine learning at the core of Microsoft's attempts to try to tackle the disease.

In April several news sources reported that the law firm of Baker Hostetler had hired a legal robot called ROSS. This artificial intelligence system, built on IBM's famous Watson system, automates legal tasks like research and the preparation of legal memorandums in the narrow domain of bankruptcy law. Since then, other big law firms have joined the rush. ROSS Intelligence markets its product as a kind of artificial intelligent assistant: ask it questions in plain language, and legal research is presented. It sounds a lot like Siri, except instead of asking for baseball scores one can ask for relevant case law.