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) …
Regaind's computer vision API is said to have the ability to analyze the content of photos, so it'll know to surface photos of dogs if you search for "dog", for example. Apple's Photos app has had this feature for a couple of years already, but the acquisition of Regaind could be key to boosting this capability even further and keeping up with Google's machine learning-powered Photos app. This is helpful for hiding duplicates, for finding the best shot in a series of burst shot photos, or for grouping images by color and events. What's particularly interesting is that Regaind can also apparently analyze your face for gender, age and emotion, which sounds very similar to what FaceApp does.
But instant messaging apps like Slack, HipChat and Skype are all increasing in popularity, especially as more of the workforce works remotely. A recent study found that 43% of employees used some form of instant messaging during work hours. The move also represents recent changes in the workplace tech and startup space, particularly around machine learning. Machine learning also has appeared in HR tech, helping recruiters identify applicants' achievements and work experiences.
The AI will have to be accountable, so different from DL, with outcomes you can explain to average judges and users in simple, legally valid words. Even where humans take final decisions, the AI tools should give detailed reasons that humans can either figure out as wrong (and so override, reverse the AI decision), or quickly accept by simply copy, paste and sign explanations prepared by AI. In the case of GDPR, only human staff can reject an application: the AI can automate the positive outcomes, else, if the AI denies a loan, job etc., it should pass the task to human staff, that will handle those negative decisions that make users angry, inquisitive. The risk is that the human staff, to save time and money, will make up fake explanations for AI rejections, and blindly accept AI approvals.
For the people most immersed in the tech sector, it's hard to think of a more controversial topic than the ultimate impact of artificial intelligence (AI) on society. In the below infographic, we look recent projections from PwC and Accenture regarding AI's economic impact, as well as the industries and countries that will be the most profoundly affected. According to PwC's most recent report on the topic, the impact of artificial intelligence (AI) will be transformative. For that, we turn to Accenture's recent report, which breaks down a similar projection of $14 trillion of gross value added (GVA) by 2035, with estimates for AI's impact on specific industries.
These were some of the issues that emerged this spring when Xconomy brought together some of San Diego's most-prominent tech and life sciences leaders for a dinner discussion about the risks and opportunities in the convergence of AI and healthcare. Interest in healthcare AI runs high in San Diego, which has a well-established life sciences cluster and is home to two genome sequencing giants: Illumina and the life sciences solutions group of Thermo Fisher Scientific (NYSE: TMO). The kickoff question: Is there a proven business model for startups that are applying innovations in machine learning in the life sciences? Bruce V. Bigelow is the editor of Xconomy San Diego.
It's no secret that Ford has been lagging when it comes to the'futuristic' tech that its rivals are already on top of. Meanwhile, Volkswagen has recently announced its cars will be'talking' to each other within as little as two years, while Tesla, a company focused on tech innovation, last year delivered less than 80,000 cars compared to Ford's 6.7 million, and has still managed to overtake Ford in terms of market value. This renewed focus is certainly attributable to his vision -- and Ford is better-positioned to realize this now it's working in partnership with self-driving tech company Argo AI. Of course, car manufacturers are already focusing their efforts on innovating their technology so the announcement doesn't give Ford any lead.
The company also raised an undisclosed amount in seed funding from Unilazer Ventures, a Mumbai-based VC firm founded by Ronnie Screwvala, in October 2015. Digital Payment player Paytm has invested an undisclosed amount in Noida-based online health tech start-up QorQL, which uses artificial intelligence and big data to improve a doctor's productivity, care quality, and patient experience. Delhi-based AI start-up Innefu Labs raised $ 2 million Series A funding from IndiaNivesh venture capital fund. The start-up will utilize funds to enhance its cyber security solutions related to predictive intelligence and biometric authentication.
After spending two to three months training the AI to piece together coherent sentences and phrases, Saatchi LA began rolling out a campaign last week on Facebook called "Thousands of Ways to Say Yes" that pitches the car through short video clips. First, Saatchi LA wrote 50 scripts based on location, behavioral insights and occupation data that explained the car's features to set up a structure for the campaign. After a few more attempts, "We realized that it was struggling with the words that it had learned to create cohesive sentences," Saatchi LA's Pierantozzi said. About halfway through the process, Watson began putting together sentences, but they weren't connected to each other.
This is the final part in a series where we use machine learning and natural language processing to analyze articles published in tech news sites in order to gain insights about the state of the startup industry. Let's visualize the coverage per industry for all the articles published in the last ten years to find out: The most popular startup industry in the last ten years has been Mobile. Right when this industry started to gain visibility in 2013, Oculus Rift was the top keyword by a wide margin. The only way to perform an analysis like this is using machine learning and natural language processing, since there's no way we can get a person to read through and interpret 270,000 articles.