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) …
Last week, the U.S. Food and Drug Administration presented the organization's first Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan. This plan portrays a multi-pronged way to deal with the Agency's oversight of AI/ML-based medical software. The Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan is a response to stakeholder input on the FDA's 2019 regulatory structure for AI and ML-based medical items. FDA additionally will hold a public workshop on algorithm transparency and draw in its stakeholders and partners on other key activities, for example, assessing predisposition in algorithms. While the Action Plan proposes a guide for propelling a regulatory framework, an operational structure gives off an impression of being further down the road.
I am a recent graduate of the Galvanize Data Science Immersive Bootcamp. In this Data Science Bootcamp we spent 3 months learning Statistics, Linear Algebra, Calculus, Machine Learning, SQL, and Python Programming. The San Francisco based program I attended was transferred from in-person to remote due to the COVID-19 pandemic. To say this experience was challenging would be an understatement. My official day at the Bootcamp started at 8:30 AM and ended at 8:30 PM Monday through Friday.
As someone who has interviewed with several companies for Data Scientist positions, as well as someone who has searched and explored countless required qualifications for interviews, I have compiled my top five Data Science qualifications. These qualifications are not only expected to be required by the time of interview, but also just important qualifications to keep in mind at your current work, even if you are not interviewing. Data Science is always evolving so it is critical to be aware of new technologies within the field. These requirements may differ from your personal experiences, so keep in mind this article is stemming from my opinion as a professional Data Scientist. These qualifications will be described as key skills, concepts, and various experiences that are expected to have before entering the new role or current role.
Alan Kalton, Vice President and General Manager of Aktana Europe, is a leader in data analytics and manages all new Contextual Intelligence implementations and developments across Europe. He comes to Aktana from Cape Town, South Africa where he led a data analytics venture called BroadReach and prior was the Analytics Leader of EY in South Africa. He also held prominent executive leadership positions in data analytics at IBM, Elsevier, Cognizant, Steris, Novartis, GSK, and ZS Associates. He graduated with a BS and MSc of industrial and operations engineering from the University of Michigan. Kalton can be reached at email@example.com.
Google's Google Cloud division today announced it has made generally available two search functions that rely on machine learning techniques to help retailers who use its cloud service. Called Vision API product search and Recommendations AI, the two services are part of what Google has unveiled as a suit of functions called Product Discovery Solutions for Retail. The vision search function will let a retailer's customers submit a picture and received ranked results of products that match the picture in either appearance or semantic similarity to the object. Recommendations, said Google, is "able to piece together the history of a customer's shopping journey and serve them with customized product recommendations." Both are generally available now to retailers.
DuckDuckGo, a search engine focused on privacy, increased its average number of daily searches by 62% in 2020 as users seek alternatives to impede data tracking. The search engine, founded in 2008, operated nearly 23.7 billion search queries on their platform in 2020, according to their traffic page. On Jan. 11, DuckDuckGo reached its highest number of search queries in one day, with a total of 102,251,307. DuckDuckGo does not track user searches or share personal data with third-party companies. "People are coming to us because they want more privacy, and it's generally spreading through word of mouth," Kamyl Bazbaz, DuckDuckGo vice president of communications, told USA TODAY.
Kroger is testing new smart shopping cart technology in the Cincinnati area that eliminates paying at the checkout. For the past few weeks, Kroger quietly rolled out the new carts at its Madeira store, branded "KrogGo." The technology allows shoppers to load up their cart with groceries, then pay by swiping their credit or debit card at the cart, then head for the parking lot. Using artificial intelligence, the technology will enable shoppers to assemble their order without having to scan items as carts begin to recognize a box of cereal or pound of apples, according to Caper, the New York firm behind the technology. The carts include a built-in scale to measure items sold by weight and a built-in screen that can deliver shopping list recommendations, promotional offers, and wayfinding capabilities.
Andrew Yang will not forestall the robot apocalypse from the Oval Office, but he may get to do it from New York City Hall. In the 2020 Democratic presidential primary, the former entrepreneur's quirky campaign found a surprisingly robust audience, attracted by Yang's warnings about automation and his promise to mail every American a "freedom dividend" (or, at least, by his math jokes and laid-back, open collar). In the end, the Yang Gang only got their guy as far as the New Hampshire primary. But thanks in part to the name recognition and national network of donors he accrued during that race, Yang is actually leading the polls this year's contest to be the Democratic candidate for New York City mayor. On Friday, Henry Grabar and Jordan Weissmann, two of Slate's native New Yorkers, convened to debate whether this is a good thing. Their debate has been edited and condensed for clarity.
People tend to make snap judgments on each other in a single look and now an algorithm claims to have the same ability to determine trustworthiness for obtaining a loan in just two minutes. Tokyo-based DeepScore unveiled its facial and voice recognition app last week at the Consumer Electronics Show that is touted as a'next-generation scoring engine' for loan lenders, insurance companies and other financial institutions. While a customer answers 10 question, the AI analyzes their face and voice to calculate a'True Score' that can be help companies with the decision to deny or approve. DeepScore says its AI can determine lies with 70 percent accuracy and a 30 percent false negative rate, and will alert companies that fees need to be increased if dishonesty is detected. However, scientists raise concerns about bias saying the app is likely to discriminate against people with tics or anxiety, resulting in these individuals not receiving necessary funds or coverage, Motherboard reports.
The car, however, didn't work as advertised. It could drive, turn corners and stop on a dime. But the fancy technology features VW had promised were either absent or broken. The company's programmers hadn't yet figured out how to update the car's software remotely. Its futuristic head-up display that was supposed to flash speed, directions and other data onto the windshield didn't function.