AI News, BOOK REVIEW: Career Makers hiring Speech Scientist artificial intelligence
Stocks skid as US raises tensions ahead of China talks
Increased tensions ahead of U.S.-China trade negotiations knocked down stocks on Wall Street in afternoon trading Tuesday and stretched the market's losses deeper into a fourth week.
The latest move casts more doubt on whether the world's two largest economies will find a resolution to their long-running and economically damaging trade war.
The sector has been absorbing much of the volatility from swings in trade war sentiment because many of the companies face bigger risks to sales and supply chains.
The yield on the 10-year Treasury fell to 1.53% from 1.55% late Monday in a signal that investors are heading for low-risk investments amid the trade war turmoil.
The stock initially fell after it reported surprisingly weak third quarter sales at established locations as it faces tougher competition.
CRUSHED CHIPS: Chipmakers tumbled after the U.S. blacklisted a group of Chinese tech companies that develop facial recognition and other artificial intelligence technology, saying the technology is being used to repress China's Muslim minority groups.
The assistant uses voice queries and a natural-language user interface to answer questions, make recommendations, and perform actions by delegating requests to a set of Internet services.
Siri supports a wide range of user commands, including performing phone actions, checking basic information, scheduling events and reminders, handling device settings, searching the Internet, navigating areas, finding information on entertainment, and is able to engage with iOS-integrated apps.
With the release of iOS 10 in 2016, Apple opened up limited third-party access to Siri, including third-party messaging apps, as well as payments, ride-sharing, and Internet calling apps.
With the release of iOS 11, Apple updated Siri's voices for more clear, human voices, started supporting follow-up questions and language translation, and additional third-party actions.
It received praise for its voice recognition and contextual knowledge of user information, including calendar appointments, but was criticized for requiring stiff user commands and having a lack of flexibility.
In 2016 and 2017, a number of media reports have indicated that Siri is lacking in innovation, particularly against new competing voice assistants from other technology companies.
The reports concerned Siri's limited set of features, 'bad' voice recognition, and undeveloped service integrations as causing trouble for Apple in the field of artificial intelligence and cloud-based services;
Having discovered that he was the voice of Siri by watching television, he first spoke only about his role in November 2011, also acknowledging his voice work was done 'five or six years ago' without knowing the recordings' final usage form.
With iOS 11, Apple auditioned hundreds of candidates to find a new female voice, then recorded hours of speech, including different personalities and expressions, and built a new text-to-speech voice based on deep learning technology.
Additionally, developers were also able to successfully create and distribute legal ports of Siri to any device capable of running iOS 5, though a proxy server was required for Apple server interaction.
MG Siegler of TechCrunch wrote that Siri was 'great,' praising the potential for Siri after losing the beta tag: 'The amount of times Siri hasn't been able to understand and execute my request is astonishingly low...Just imagine what will happen when Apple partners with other services to expand Siri further.
Writing for The New York Times, David Pogue also praised Siri's language understanding and ability to understand context: '[Siri] thinks for a few seconds, displays a beautifully formatted response and speaks in a calm female voice...It's mind-blowing how inexact your utterances can be.
Jacqui Cheng of Ars Technica wrote that Apple's claims of what Siri could do were bold, and the early demos 'even bolder': 'Though Siri shows real potential, these kinds of high expectations are bound to be disappointed...Apple makes clear that the product is still in beta—an appropriate label, in our opinion.'
While praising its ability to 'decipher our casual language' and deliver 'very specific and accurate result,' sometimes even providing additional information, Cheng noted and criticized its restrictions, particularly when the language moved away from 'stiffer commands' into more human interactions.
Siri was criticized by pro-choice abortion organizations, including the American Civil Liberties Union (ACLU) and NARAL Pro-Choice America, after users found that Siri could not provide information about the location of birth control or abortion providers nearby, sometimes directing users to pro-life crisis pregnancy centers instead.
In January 2016, Fast Company reported that, in then-recent months, Siri had begun to confuse the word 'abortion' with 'adoption', citing 'health experts' who stated that the situation had 'gotten worse.'
Fazio filed a class action lawsuit against Apple on behalf of the people who bought iPhone 4S and felt misled about the capabilities of Siri, alleging its failing to function as depicted in Apple's Siri commercials.
In June 2016, The Verge's Sean O'Kane wrote about the then-upcoming major iOS 10 updates, with a headline stating 'Siri's big upgrades won't matter if it can't understand its users': 'What Apple didn't talk about was solving Siri's biggest, most basic flaws: it's still not very good at voice recognition, and when it gets it right, the results are often clunky.
After Apple bought Siri, the giant company seemed to treat it as a backwater, restricting it to doing only a few, slowly increasing number of tasks, like telling you the weather, sports scores, movie and restaurant listings, and controlling the device's functions.
In October 2016, Bloomberg reported that Apple had plans to unify the teams behind its various cloud-based services, including a single campus and reorganized cloud computing resources aimed at improving the processing of Siri's queries,
Noting that Apple workers' anxiety levels 'went up a notch' on the announcement of Amazon's Alexa, the Journal wrote: 'Today, Apple is playing catch-up in a product category it invented, increasing worries about whether the technology giant has lost some of its innovation edge.'
The report cites the primary causes as being Apple's prioritization of user privacy, including randomly-tagged six-month Siri searches, whereas Google and Amazon keep data until actively discarded by the user, and executive power struggles with some employees leaving.
Apple declined to comment on the report, while Eddy Cue said: 'Apple often uses generic data rather than user data to train its systems and has the ability to improve Siri's performance for individual users with information kept on their iPhones.'
How AI Trading Technology is Making Stock Market Investors Smarter — and Richer
“Artificial intelligence is to trading what fire was to the cavemen.” That’s how one industry player described the impact of a disruptive technology on a staid industry. In other (less creative) words, AI is a game changer for the stock market.
“Machine learning is evolving at an even quicker pace and financial institutions are one of the first adaptors,” Anthony Antenucci, vice president of global business development at Intelenet Global Services, recently said. When Wall Street statisticians realized they could apply AI to investment trading applications, he explained, “they could effectively crunch millions upon millions of data points in real time and capture information that current statistical models couldn’t.” Here are some ways companies around the world use AI for smarter trading. Location: Chicago, Illinois How it’s using AI in trading: Through its acquisition of Neurensic, Trading Technologies now has an AI platform that identifies complex trading patterns on a massive scale across multiple markets in real time. Combining machine learning technology with high-speed, big data processing power, the company provides clients with an ongoing assessment of compliance risk.
By gathering and processing data gleaned from various sources (news articles, social media postings, financial statements) around the world, the company systematizes the investment process to “build a cause-and-effect understanding of markets, companies and management.” Industry impact: EquBot recently launched the AI Powered International Equity ETF targeting opportunities in developed international markets outside the U.S.
Location: Stamford, Connecticut How it’s using AI in trading: Comprised of experienced traders, analysts and engineers, Imperative Execution builds “efficient financial exchanges” with the help of its product IntelligentCross, which uses AI to optimize the trading of U.S. equities. Industry impact: Hedge Fund chief Steve Cohen’s Point72 Ventures LLC recently became the first to invest in Imperative Execution.
It offers protection to trading professionals via advanced authentication, encryption, hardware security modules and more. Using its intuitive dashboard interface, users can easily access account details, balances and transaction histories.
Location: Milwaukee, Wisconsin How it’s using AI in trading: Looking Glass combines proprietary analytics and big data to find 'alternative fixed-income investments' for those in the marketplace loan sector. Clients include family offices, institutional investors and accredited investors. Photos via social media and Shutterstock
- On 21. oktober 2021
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