The Republican-led House Judiciary Committee is looking into whether the Biden administration tried to "censor" artificial intelligence. Representative Jim Jordan has sent subpoenas to sixteen different tech companies that work with AI in some capacity to ask for any and all communications from the previous administration about limiting "harmful bias" and "algorithmic discrimination." Subpoenas were sent to Adobe, Alphabet, Amazon, Anthropic, Apple, Cohere, International Business Machines Corp. (IBM), Inflection AI, Meta, Microsoft, Nvidia, Open AI, Palantir, Salesforce, Scale AI and Stability AI, and each requests an extensive amount of information, covering five years from January 1, 2020 to January 20, 2025. Essentially any and all documents and communications "referring or relating to the moderation, deletion, suppression, restriction, or reduced circulation of the content, input, or output of an AI model, training dataset, algorithm, system, or product," need to be included, whether between the companies and the previous administration, internal communications about those discussions or discussions with third-parties. Jordan and the committee are alleging that the former President's executive order calling for regulations on algorithmic discrimination and guidelines for how the federal government will use AI pressured private companies to censor speech.

While topic models can discover patterns of word usage in large corpora, it is difficult to meld this unsupervised structure with noisy, human-provided labels, especially when the label space is large.

Dukaan CEO and founder Suumit Shah explains why he laid of 90% of his customer support staff after saying AI outperformed them. The real estate market might feel the shifts and impacts of artificial intelligence (AI). But when it comes to making perhaps the most significant purchase of one's life, homebuyers will want that human touch, experts told Fox News Digital. "I don't think it's going to replace how we necessarily do business and automate it, but I think it's going to enhance the amount of data that we have available," Pierre Debbas, co-managing partner of Rommer Debbas LLP, said. He argued it will allow Realtors to "provide the consumer with more accurate information and maybe a broader scope of data in making their decisions when buying a home." AI has already reshaped a number of industries, including the very industry that created it, leading to rapidly decreasing work opportunities and doomsday prophecies of no more tech jobs in five years.

Not long before his death in 2007, my father told me that he "thought he might have" coined the term information technology. It turns out he was right. In an article titled "Management in the 1980's," published in the November, 1958, issue of the Harvard Business Review, Harold J. Leavitt and his co-author, Thomas L. Whisler, identify a "new technology" that "has begun to take hold in American business, one so new that its significance is still difficult to evaluate." Since this technology "does not yet have a single established name," the article notes, "we shall call it information technology. It is composed of several related parts": "techniques for processing large amounts of information rapidly"; "the application of statistical and mathematical methods to decision-making problems"; and "in the offing, though its applications have not yet emerged very clearly . . . the simulation of higher-order thinking through computer programs." By the end of his life, my father had adopted a far more skeptical attitude toward the organizations he earned his living trying to understand and improve.

Be our guest as we celebrate 20 years of AI/ML innovation on October 25, 2022, 9:00 AM – 10:30 AM PT. The first 1,500 people to register will receive $50 of AWS credits. Over the past 20 years, Amazon has delivered many world firsts for artificial intelligence (AI) and machine learning (ML). ML is an integral part of Amazon and is used for everything from applying personalization models at checkout, to forecasting the demand for products globally, to creating autonomous flight for Amazon Prime Air drones, to natural language processing (NLP) on Alexa. And the use of ML isn't slowing down anytime soon, because ML helps Amazon exceed customer expectations for convenience, cost, and delivery speed.

AI has finally settled into the mainstream. Successful proof-of-concepts have emerged in a number of industries, and there have been many examples of successful plant-floor deployments of AI. Some organizations have applied AI/ML projects across the enterprise to complete pipelines. This overall maturity is changing the way companies view the strategic value of AI and the areas in which they want its benefits to be realized. Let's look at 10 AI company strategy trends currently diagnosed by industry experts.

Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. Some of what they've gleaned comes as no surprise: A successful digital transformation requires executive buy-in, constant communication with business units, and of course, financial commitment. A newly released report from Deloitte supports that, noting that a straightforward, compelling "north star" narrative is critical to success for 38% of executive respondents. A leader also needs to devote time and energy to drive a transformation forward. When a chief transformation officer contributed an additional 15% of their time, the probability of success improved by approximately 16%, according to the study. In terms of financial investment, half of the survey respondents indicated that their organizations invest between 1% and 5% of annual revenue on transformation programs.

Artificial intelligence has hit the mainstream. Across industries, companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production. Some organizations have even operationalized their AI and machine learning strategies, with projects proliferating across the enterprise, complete with best practices and pipelines. Today, companies at the leading edge of the AI maturity curve are making use of AI at scale. This overall maturation of how AI is deployed in enterprises is shifting how companies view the strategic value of AI -- and where they hope to see its benefits realized. Here is a look at 10 AI enterprise strategy trends that industry experts are seeing unfolding today.

Artificial intelligence has hit the mainstream. Across industries, companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production. Some organizations have even operationalized their AI and machine learning strategies, with projects proliferating across the enterprise, complete with best practices and pipelines. Today, companies at the leading edge of the AI maturity curve are making use of AI at scale. This overall maturation of how AI is deployed in enterprises is shifting how companies view the strategic value of AI -- and where they hope to see its benefits realized. Here is a look at 10 AI enterprise strategy trends that industry experts are seeing unfolding today.

First announced in March last year, Amman-based Mawdoo3 has finally launched its Arabic personal voice assistant, Salma. The personal assistant was recently launched at TechWadi Annual Forum 2019 last month in California. After the launch, Salma has been made available as a standalone iOS and Android app. According to its (her?) website, the personal assistant can share weather forecasts, currency exchange rates, and prayer times. It (she?) can also help users set an alarm on their phone, play music from their favorite apps, or call anyone from their address book – all with a quick voice command.