If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The House measure would allow automakers to field up to 25,000 vehicles without meeting existing auto safety standards in the first year. Over three years, the cap would rise to 100,000 vehicles annually. Automakers would be required to provide regulators with safety assessments of their systems, but would not have to get federal approval to put autonomous cars on the road.
This is the controversial AI computer program that researchers claim can determine if someone is gay or not just by looking at a photograph of their face. According to the Stanford University researchers who developed it, the artificial intelligence system can infer someone's sexuality with up to 91 percent accuracy by scanning a photograph of a man or woman. But critics have slammed the software, saying it could be used to'out' men and women currently in the closet. Software was used to make composite faces. On left are faces'least likely' to be homosexual, and center are faces'most likely' to be homosexual.
While a large number of companies are working on self-driving cars, including Google/Waymo, Uber, Audi and Tesla, it might be General Motors that beats them all. In a blog post, GM's CEO of Cruise Automation, Kyle Vogt, says that his team has created the "world's first mass-producible car designed to operate without a driver." Vogt notes that this is not just a concept, but a fully-made automobile with "airbags, crumple zones and comfortable seats" that has been produced by a high-volume plant that can make hundreds of thousands of vehicles per year. In other words, GM is ready to make self-driving cars at scale as soon as the software and regulations are up to par. GM has been working on these autonomous automobiles for a while now, with a fleet of self-driving systems that includes a mobile ride-hailing app in place in San Francisco.
Natural language processing (NLP) of unstructured free-text content, such as that found in electronic health record (EHR) clinical notes, used to diagnose disease. NLP of observational data may be more insightful than review of medical diagnoses codes like those found in ICD-9 and CPT. Machine learning algorithms to identify patients eligible for clinical trials through review of historical EHR data. This could improve patient suitability for and outcome from the clinical trial.
Recently I've been seeing more articles regarding the status of Artificial Intelligence and Machine Learning. Some doomsday prophecies like the end of code others say that it will make humans dependant on AI assistants. While I agree with most of the opinions expressed about those topics, I feel that the future will not be just a total dependence or replacement of the human factor in those areas. It will be a transformation phase for sure that will span over the years to come. There will be more and more practical applications of AI and ML that will help replace the dangerous and reckless human factor, for example, driving vehicles or aircrafts.
The chief executive of Deutsche Bank has issued a stark warning about the impact of technology, saying a "big number" of his staff will lose their jobs as robots take over. In remarks reported by German publication Handelsblatt at a conference in Frankfurt, Cryan added: "The sad truth for the banking industry is, we won't need as many people as today." Cryan told the conference that Germany and Frankfurt had to decide how much they wanted to benefit from Brexit. While new finance jobs will be created in Dublin, Amsterdam and Paris – all vying for business leaving London – none of these have the infrastructure to take on the business.
The chief executive of Deutsche Bank has issued a stark warning about the impact of technology, saying a "big number" of his staff will lose their jobs as robots take over. John Cryan told an audience in Frankfurt: "In our bank we have people doing work like robots. Tomorrow we will have robots behaving like people. It doesn't matter if we as a bank will participate in these changes or not, it is going to happen." He also referred to accountants inside the bank who "spend a lot of time basically being an abacus", who would also be replaced by machines.
Ransomware has been disastrous for businesses and individuals alike, with recent attacks like WannaCry costing companies millions, and personal attacks threatening private data. Criminals are holding data and information hostage using tools that require almost no skill, and once they have your files it's too late to react. Empow, a security startup, just patented a'mind-reading' approach to cyber-security in order to try and discover these attacks the moment they start. The innovative technology behind the patent enables a human security expert to understand actual the intentions of any attacker. This "mind reading" is accomplished initially by data gathering – we read the data generated by a variety of tools inside the organization – which is then enriched by Internet data sources which yield more signals and cues.
Last year, two data scientists from security firm ZeroFOX conducted an experiment to see who was better at getting Twitter users to click on malicious links, humans or an artificial intelligence. The researchers taught an AI to study the behavior of social network users, and then design and implement its own phishing bait. In tests, the artificial hacker was substantially better than its human competitors, composing and distributing more phishing tweets than humans, and with a substantially better conversion rate. By contrast, Forbes staff writer Thomas Fox-Brewster, who participated in the experiment, was only able to pump out 1.075 tweets a minute, making just 129 attempts and luring in just 49 users. Thankfully this was just an experiment, but the exercise showed that hackers are already in a position to use AI for their nefarious ends.