LucidHealth, a physician-owned and led radiology company, announced today that it is using an AI-powered diagnostic aid from leading AI vendor Aidoc to help prioritize and expedite treatment to patients with critical, life-threatening conditions. LucidHealth is one of the first radiology companies in the Midwest to incorporate artificial intelligence (AI) into its radiology practice, further cementing their commitment to continuously improving patient outcomes. "LucidHealth is committed to bringing the most advanced, highest quality technological solutions to assist our patients," said Mark Alfonso, M.D., chief medical officer, LucidHealth. "Aidoc's AI-powered alerting system combined with our own proprietary workflow software, RadAssist, enables us to prioritize the patients with the most urgent, time-critical, life-threatening conditions. For example, proactive examination for intracranial hemorrhages via AI automatically and immediately flags those cases to the radiologists, allowing them to prioritize and assist in addressing those patients sooner. This reduction in wait time could be life-altering; providing the ability to ensure rapid radiologist inspection and triage for expedited treatment."

The Department of Defense has officially adopted principles for the ethical use of artificial intelligence with a focus on ensuring the military can retain full control and understanding over how machines make decisions, it announced Monday. The final principles are largely unchanged from the Defense Innovation Board's recommendations submitted to Secretary of Defense Mark Esper in October. The DOD made some tweaks to meet the department's legal standards and changed a few "shoulds" to "wills," Lt. Gen. Jack Shanahan, the director of the Joint AI Center, said at a press conference Monday. "We believe the nation that successfully implements AI principles will lead in AI for many years," Shanahan said. Adopting AI has been one of Esper's top technological priorities since before his confirmation.

DeepSig, a company developing AI to transform wireless for 5G, IoT, and security, raised $5M in its Series A Financing, adding to the $3.5M previously raised. Leawood Venture Capital led the Series A round with participation by Scout Ventures, Blu Venture Investors, and Lockheed Martin Ventures. The additional funding will accelerate DeepSig's AI and machine learning (ML) software development and deployment to improve performance and security while reducing power consumption and cost in 5G and other wireless systems. "We are excited to include DeepSig as a portfolio company in our Fund. Their proven leadership team, combined with their groundbreaking patented technology will have a significant impact across wireless access, 5G networks, and defense markets," said Brendan Fallis, Co-Founder and Managing Partner of Leawood Venture Capital.

Amazon CodeGuru (Preview) is a service launched at AWS re:Invent 2019 that analyzes the performance characteristics of your application and provides automatic recommendations on ways to improve. It does this by profiling your application's runtime (with CodeGuru Profiler) and by automatically reviewing source code changes (with CodeGuru Reviewer). For more information, see What Is Amazon CodeGuru Profiler? This post gives a high-level overview of how CodeGuru Profiler works, common ways to use it, and how to improve your understanding of your application's performance in production. It assumes a basic knowledge of the JVM (Java Virtual Machine) and related concepts such as threads and call stacks. CodeGuru Profiler provides insights into your application's runtime performance with a continuous, always-running production profiler.

Self-driving cars are one of the high-risk artificial intelligence applications the European Union wants to regulate. The European Commission today unveiled its plan to strictly regulate artificial intelligence (AI), distinguishing itself from more freewheeling approaches to the technology in the United States and China. The commission will draft new laws--including a ban on "black box" AI systems that humans can't interpret--to govern high-risk uses of the technology, such as in medical devices and self-driving cars. Although the regulations would be broader and stricter than any previous EU rules, European Commission President Ursula von der Leyen said at a press conference today announcing the plan that the goal is to promote "trust, not fear." The plan also includes measures to update the European Union's 2018 AI strategy and pump billions into R&D over the next decade. The proposals are not final: Over the next 12 weeks, experts, lobby groups, and the public can weigh in on the plan before the work of drafting concrete laws begins in earnest.

IDCC uniquely leverages optical character recognition, Utopia's advanced machine learning code, intelligent online web search, and document search. Beginning simply with only a photo of a manufacturer's nameplate, IDCC can produce complete and accurate material and asset information. Manufacturer and model data is organized in ISO-14224 standards and can be delivered via a variety of easy-to-integrate methods, including SAP Asset Intelligence Network . The cloud-based nature of IDCC enables cost-effective, rapid deployments by large and small organizations alike. IDCC can be deployed in pure cloud environments, such as SAP Intelligent Asset Management, or hybrid deployments using SAP Master Data Governance, enterprise asset management extension by Utopia.

Graphcore Ltd., the British semiconductor firm whose chips are used to run artificial intelligence programs, has raised $150 million, bringing its valuation to $1.95 billion. The company now has $300 million in cash, which it will use to invest in research and development and global expansion, Bristol, England-based Graphcore said in a statement on Tuesday. After it raised $200 million in 2018, Graphcore was approached by additional investors who wanted to put money into the company, Chief Executive Officer Nigel Toon said in an interview. While the company has no immediate plans for an initial public offering, several of its investors, such as Baillie Gifford, have experience investing in publicly traded technology companies and are the types of shareholders the company would try to target if it were to go public at some point in the future, Toon said. "Having this additional capital on hand allows us to accelerate our investment and allows us to be in a position to support the really large customers who we're building business with," Toon said.

If you've ever reached out to a company via email, direct message, or a phone call, you've probably been met with some type of chatbot service. Across a range of industries, companies are leveraging chatbot offerings to enhance customer service and reduce costs. As younger generations demonstrate an increasing desire for quick and efficient 24/7 service, the opportunity for chatbots continues to grow. The chatbot market size is projected to jump from $2.6 billion in 2019 to $9.4 billion by 2024 at a compound annual growth rate (CAGR) of 29.7%. And although the chatbot market is being tapped primarily by major companies and businesses, individuals have also started looking to chatbots as a means of engaging in alternative social interactions and everyday conversations.

The "The Business Use of Artificial Intelligence" training has been added to ResearchAndMarkets.com's offering. Your competitors are using AI to analyze sales, what do you do? Organizations today are applying artificial intelligence capabilities to a wide variety of uses especially in operations such as for process enablement. Each organization is focusing on performance improvements using AI. This explosion of interest in AI poses a challenge to managers to effectively make sense of and use AI effectively.

Artificial Intelligence applications are expanding into nearly every area of industry including government services, transportation, healthcare, cybersecurity, autonomous systems, finance and more. Forbes includes artificial intelligence as one of the "Hottest Career Paths of 2020 and Beyond." In order to meet the increasing demand for AI professionals, the University of North Texas, a Tier One research university, is offering the only Master of Science degree in artificial intelligence in Texas and one of only a few programs nationwide. The new degree offers students the choice of three concentrations: machine learning, autonomous systems and biomedical engineering. Students will be able to take classes that allow them to explore specific interests in AI and leave the program with marketable skills.