Nvidia has introduced a new platform for building virtual beings to interact with in the digital realms of the metaverse, which Nvidia refers to as its Omniverse. The Nvidia Omniverse Avatar Cloud Engine (ACE) provides a collection of AI models and related tools for users to design the AI creations that will populate their virtual worlds, including synthetic voices and visual media. The cloud-based ACE catalog streamlines building virtual beings and applies Nvidia's computing power to setting up and embedding the AI avatars in digital worlds. The resulting synthetic being can converse in multiple languages, offering recommendations based on the conversation and even process its digital environment enough to interact with objects around it. The system used Nvidia's Unified Compute Framework of software products, including the Riva speech AI technology and the NeMo Megatron natural language understanding using large language models.

Company Description Agensys Corporation is a small business IT Services firm headquartered in Loudoun County, Virginia. Our proven methodologies allow us to identify, attract and retain the highest quality of IT professionals. Agensys Corporation's leadership team capitalizes in over 30 years of expertise in government and commercial sectors and is one of the fastest growing Services firms in the DC Metro Area. Our goal is to develop strong relationships with our partners to understand and exceed the needs of their unique environments.

Yang Yang, PhD, Zahi Fayad, PhD, Xueyan Mei, PhD, Timothy Deyer, PhD and colleagues from Icahn School of Medicine at Mount Sinai, University of Oklahoma, and Weill Cornell Medicine conducted a study to evaluate the performance of AI models pretrained on radiologic images compared to photographic images. They created a large-scale, diverse medical imaging dataset to generate CNNs trained only from radiologic images. This is a significant study because the researchers demonstrated that pretraining with radiologic images rather than photographic images may result in more effective transfer learning for radiology AI models. A paper detailing the study entitled RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning was published in RSNA Radiology AI on July 27, 2022. Within 10 days of publication, the paper has been downloaded over 1,000 times.

Automation is good, so long as you know exactly where to put the machine.

Plants that have a lack or deficiency of nitrogen have performance problems and show chlorosis or yellow or light green coloration. They are more prone to pests and diseases. The lack of potassium in the soil also causes the leaves to appear yellowish or blue-green, with dark yellow edges. They are more susceptible to fungal attack. With lack of water, dry soil, the leaves are decayed and also show a yellow hue.

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech's colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we'd like you to meet Lara Martin, a fifth-year Ph.D. student who is interested in teaching artificial intelligence agents to tell interesting and coherent stories. Tell us about your research interests. Where might people be impacted them in everyday life?

What is the state of machine learning in 2022? Running a business that is closely tied to the progress of state-of-the-art machine learning means I’m trying to stay up to date with what is going on. In this post, I go through what I consider to be the most interesting breakthroughs and share my thoughts on what that means. We cover embeddings, attention, transformers and multi-modal models.

Toronto, Ontario--(Newsfile Corp. - August 9, 2022) - Tenet Fintech Group Inc. (CSE: PKK) (OTC PINK: PKKFF) ("Tenet" or the "Company"), an innovative AI service provider and operator of the Business Hub, at the request of IIROC, wishes to confirm that the Company's management is unaware of any material change in the Company's operations that would account for the recent increase in market activity. About Tenet Fintech Group Inc.: Tenet Fintech Group Inc. is the parent company of a group of innovative financial technology (Fintech) and artificial intelligence (AI) companies. All references to Tenet in this news release, unless explicitly specified, includes Tenet and all its subsidiaries. Tenet's subsidiaries provide various analytics and AI-based services to businesses and financial institutions through the Business Hub, a global ecosystem where analytics and AI are used to create opportunities and facilitate B2B transactions among its members. Please visit our website at: http://www.tenetfintech.com

The healthcare industry and national healthcare systems across the world have experienced unprecedented pressure in recent years, especially during the Covid-19 pandemic. Many HealthTech start-ups started investing in healthcare technology in the early 2010s, but the crisis in 2020 inevitably accelerated digital transformation to allow medical professionals to keep seeing patients during the lockdowns. Recent research by Virgin Media Business, examining the use of information technology in healthcare in the UK, found that the benefits of digital transformation in operational areas are already showing. For example, AI is helping to streamline patient triage, enabling doctors to treat urgent cases more rapidly with lifesaving outcomes. But what will be the real impact of information technology in healthcare going forward?

It's been just a few weeks since OpenAI began allowing customers to commercially use images created by DALL-E 2, its remarkably powerful AI text-to-image system. But in spite of the current technical limitations and lack of volume licensing, not to mention API, some pioneers say they're already testing the system for various business use cases -- awaiting the day when DALL-E 2 becomes stable enough to deploy into production. Stitch Fix, the online service that uses recommendation algorithms to personalize apparel, says it has experimented with DALL-2 to visualize its products based on specific characteristics like color, fabric and style. For example, if a Stitch Fix customer asked for a "high-rise, red, stretchy, skinny jean" during the pilot, DALL-E 2 was tapped to generate images of that item, which a stylist could use to match with a similar product in Stitch Fix's inventory. "DALL-E 2 helps us surface the most informative characteristics of a product in a visual way, ultimately helping stylists find the perfect item that matches what a client has requested in their written feedback," a spokesperson told TechCrunch via email.