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) …
Baskerville is a machine operating on the Deflect network that protects sites from hounding, malicious bots. It's also an open source project that, in time, will be able to reduce bad behaviour on your networks too. Baskerville responds to web traffic, analyzing requests in real-time, and challenging those acting suspiciously. A few months ago, Baskerville passed an important milestone – making its own decisions on traffic deemed anomalous. The quality of these decisions (recall) is high and Baskerville has already successfully mitigated many sophisticated real-life attacks.
"An AI system needs data in order to become smart. And the more data it has, the smarter it gets," says Gaylene Meyer, Vice President Global Marketing & Communications at RFID company Impinj (PI), whose products allow retailers to track trillions of items of inventory in real time and respond quickly to changes in demand. "When you can see everything moving through a system, you gain a new view of the system as a whole. So you can find the pain points and eliminate them." That's crucial, as inconvenience is the enemy of sales; the easier the transaction, the more likely people are to complete it.
After widespread protests against racism in the U.S., tech giants Microsoft, Amazon and IBM publicly announced they would no longer allow police departments access to their facial recognition technology. Artificial intelligence (AI) can be prone to errors, particularly in recognizing people of color and those in other underrepresented groups. Any organization developing or using AI solutions needs to be proactive in ensuring that AI dangers don't jeopardize their brand, draw regulatory actions, lead to boycotts or destroy business value. Microsoft President Brad Smith was widely quoted as saying his company wouldn't sell facial-recognition technology to police departments in the U.S., "until we have a national law in place, grounded in human rights, that will govern this technology." So, in the absence of highly rigorous institutional protections against AI dangers, what can organizations do themselves to guard against them?
CEO at Leaders Press, a USA Today best-selling press, where we turn book ideas into best-sellers. Go to Leaders Press to get started! Can artificial intelligence (AI) write a book? As the founder of a press where we offer ghostwriting services for our authors, I might feel threatened by the current capabilities of AI. AI-written novels are currently unreadable. One of the first books claimed to have been written by AI is 1 the Road, which narrates a country road trip and starts with: "It was nine seventeen in the morning, and the house was heavy."
We are witnessing a chatbot revolution, so is your business keeping up with that? One more thing that is evolving with Chatbot is Artificial Intelligence. We are seeing that people across the globe are using messenger applications more than any other social network. So, there is a serious disruption as, for the first time, the app boom is over. So, being the startup or the enterprise, how would you seek the opportunities coming to you in this messaging world?
NXP is hoping to improve its machine learning offerings after making a strategic investment in Au-Zone Technologies. The exclusive arrangement specifically concerns Au-Zone's DeepView ML Tool Suite, which will be used to bolster NXP's eIQ Machine Learning software development environment and lead to the creation of new Edge machine learning products. In that regard, the DeepView Suite comes with a graphical user interface (GUI) and workflows that will make it easier to import datasets, and to train neural network models for Edge devices. DeepView's run-time inference engine will give eIQ developers more insight into system memory usage, data movement, and other performance metrics in real time, which will in turn allow them to optimize their model before deploying it in a System-on-Chip (SoC) solution. "This partnership will accelerate the deployment of embedded Machine Learning features," said Au-Zone CEO Brad Scott.
Japan's farming market is possibly undergoing its twilight years with a significantly greying community, and that's why smart, autonomous tractors being developed by machine maker Kubota Tractor Corporation could hold commercial appeal. According to Japan's Ministry of Agriculture, Forestry, and Fishing, the number of Japanese engaged primarily in farming dropped to 1.7 million in 2014 from 1.86 million in 2011. About 515,000 farmers were 75 years or older in 2014. By comparison, only 83,000 were 39 years old or younger -- and that number was down by 7,000 from just three years earlier, reports USA Today. To make matters more pressing, Japan's population is shrinking by a quarter of a million people a year, and the number of births in 2014 was the lowest since record-keeping began in 1899, according to the Ministry of Health, Labor and Welfare.
Innovation is a lodestar term used to help companies advance unscathed and resilient from the current economic and social uncertainties. The aim is to evolve and gain some sort of competitive edge in whatever'new normal' emerges. Yet innovation is often overused under-actualised. It is true that the last three months we have come together in collectives and as collaborators to produce hugely innovative solutions to very real and sudden challenges. From rapid PPE production to remote working, we have been highly ingenious.
A computer tool led to the creation of thousands of fake nude photos of women -- some of them underage -- without their consent that were then uploaded to the messaging app Telegram, The Washington Post reported. Sensity, a visual threat intelligence company headquartered in Amsterdam, discovered the Telegram network. There are 101,080 members in the network, and 70% of the group resides in Russia or Europe. About 104,852 images derived from pictures of more than 680,000 women were posted publicly to the app, with 70% of the photos coming from social media or private sources. A small number of victims appeared to be underage.