Voiceitt, the Israel-based pioneer in speech recognition technology for non-standard speech, today announced the launch of Voiceitt for Chrome, a groundbreaking browser extension that empowers individuals with speech disabilities, accented English or aging voices to dictate directly into websites. This transformative tool seamlessly integrates with products such as professional workspaces, email platforms, collaboration tools, and social media pages, enabling voice-to-text content creation and helping people with disabilities create content and engage on the internet independently, often for the first time.

Voiceitt for Chrome expands the company’s voice AI offerings built upon its speech recognition technology for non-standard speech. The signature Voiceitt product, a web-based application, recognizes the speech patterns of individuals with non-standard speech resulting from various conditions affecting voice, speech or fluency, accented speech or age-related changes.  Voiceitt for Chrome, unlocks dictation for everyone. Customers who have been unable to access dictation or voice typing tools built only for standard speech can now dictate their ideas.

The launch of Voiceitt for Chrome follows closely on landmark legislation and policy decisions mandating wider accessibility of AI-driven technologies, including web content. The U.S. Department of Justice (DOJ) recently ruled that Title II of the Americans with Disabilities Act (ADA) ensures the accessibility of web content and mobile apps for people with disabilities. Furthermore, in May, the U.S. Department of Health and Human Services released a significant update to ADA regulations, addressing critical areas such as the accessibility of medical equipment, websites, apps, and kiosks. Voiceitt uniquely addresses these new policy requirements, ensuring access for people with speech disabilities in situations where speech is needed or required to navigate digital environments. Voiceitt also integrates into any website or product, and may help its partners comply with the updated accessibility standards.

Key Features and Benefits:

• Increased workplace productivity: Employees can dictate meeting notes, documents, and spreadsheets through integrations with common professional platforms like Google Workspace and Slack.
• Expanded economic opportunities: People can now gain employment where minimum typing speed was previously a barrier – whether writing a work document or their memoir, a blog, or even becoming an online influencer.
• Empowered students: Learners with a variety of accessibility needs can dictate in browser-based platforms, including Google Classroom, to collaborate with their peers and show their true capabilities.
• Enhanced patient agency: Dictation into medical portals, customer service chatbots (etc.) empowers self-advocacy and privacy during life’s decisions. Patients can take a more active role in healthcare by dictating their needs and communicating privately with their providers on compatible, browser-based portals.
• Increased social engagement: Voiceitt enables text-to-speech directly into social media, messaging platforms like Slack and Discord, and emails for sustained community connections and self-expression.

“Voiceitt for Chrome takes our current offering to the next level and represents a new milestone in our mission to make the digital world truly accessible by voice,” said Katie Seaver, a speech-language pathologist who serves as Voiceitt’s Head of Community Engagement and Impact. “By enabling dictation and content creation by voice, our first browser extension opens up the internet to our customers in unprecedented ways. From a quantum physicist in the UK to an elementary student in New York, the unique voices of our community can fully live, learn, work, and play through the capabilities of Voiceitt’s Chrome Extension. This launch embodies our team’s vision to expand the possibilities of cutting-edge Voice AI and demonstrates that when technologies are accessible, anything is possible.”

Voiceitt for Chrome is now available for individuals, speech pathologists, educators, and existing customers. It offers an inclusive and effective speech-to-text experience. Voiceitt is committed to expanding educators’ use of technology in the classroom, facilitating learning opportunities for all students, including those with disabilities.

Nicole Curd, an artist based in Iowa, uses Voiceitt after brain surgery left her with limited speech and mobility. “I use [Voiceitt’s] speech-to-text for everything that would require either typing or speaking,” she said. “As I age, the nerves in the only hand I can use are becoming broken down. I can’t express in words how bad this was since I had to use text to communicate with the entire world. Just using [the Voiceitt app] has vastly improved my quality of life. I am eagerly awaiting the Chrome plug-in for use with any social media, something I haven’t been able to use for some time.”

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Further to the Q4 2023 updates provided in February 2024, there have been great progress made in the first quarter of 2024 by the GPTBots. On the heels of the great Q4 2023 momentum, the GPTBots registered users (both corporates and developers) number has exceeded 19,000 as of March 31, 2024 , representing a 90% growth quarter-over-quarter, with more than 85% originated internationally. However, as this business is at an early stage, the revenue contribution to the Company for the quarter ended March 31, 2024 is very insignificant.

Mr. Weidong Luo, Chairman and Chief Executive Officer of Aurora Mobile, commented, “We are pleasantly surprised with the 90% quarter-over-quarter growth in registered user number. These 19,000++ registered users originated from more than 160 countries throughout the world and from varied industry verticals. With the ease of use and yet powerful features, our GPTBots is helping global businesses to have their very own AI bots to improve productivity.”

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Further to the Q4 2023 updates provided in February 2024, there have been great progress made in the first quarter of 2024 by the GPTBots. On the heels of the great Q4 2023 momentum, the GPTBots registered users (both corporates and developers) number has exceeded 19,000 as of March 31, 2024 , representing a 90% growth quarter-over-quarter, with more than 85% originated internationally. However, as this business is at an early stage, the revenue contribution to the Company for the quarter ended March 31, 2024 is very insignificant.

Mr. Weidong Luo, Chairman and Chief Executive Officer of Aurora Mobile, commented, “We are pleasantly surprised with the 90% quarter-over-quarter growth in registered user number. These 19,000++ registered users originated from more than 160 countries throughout the world and from varied industry verticals. With the ease of use and yet powerful features, our GPTBots is helping global businesses to have their very own AI bots to improve productivity.”

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HIP aims to:

• Provide a knowledge information system to its employees.
• Improve efficiency in internal document searches.
• Support employee tasks and enhance efficiency through a management support chatbot.

S2W has built a big data system tailored for the steel industry and applied an ontology-based SAIP to provide accurate responses. SAIP combines a secure structure with RAG (Retrieval-Augmented Generation), defending against data breaches and internal threats, ensuring both accuracy and safety.

HIP is the first instance of utilizing an AI platform in the steelmaking and refining sector with LLM (Large Language Models). S2W anticipates the future application of SAIP across various industries, including finance, steel/chemical, and ICT.

Dong-Yun Han, the project manager for HIP at Hyundai Steel, stated, “Employees have expressed high satisfaction with response speed and accuracy. We expect to see increased work efficiency through the effective use of accumulated knowledge information.”

Keun-Tae Park, CTO of S2W, commented, “We are delighted to have successfully launched HIP, which understands the language of the steelmaking sector, through our expertise in processing complex unstructured data.”

S2W, a data intelligence company specializing in AI, big data, and security technologies, has been recognized for its technological prowess. It developed the AI language model for the dark web, ‘DarkBERT,’ and annually publishes papers on AI language models in prestigious conferences such as NAACL and ACL.

Ontology
The concept of ‘ontology’ was defined in 1992 by Professor Gruber of Stanford University as “a specification of a conceptualization.” Today, in the field of AI, it is discussed as a methodology for building AI that processes, shares, and reuses knowledge and relationships between various concepts, particularly in areas like natural language processing and the Semantic Web.

RAG (Retrieval-Augmented Generation)
RAG is a technology that optimizes the outputs of LLMs by utilizing reliable external data sources, thereby reducing hallucinations in generated responses.

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Interpres Security, a company dedicated to optimizing defenses against actual threats targeting organizations to reduce threat exposure, today announced new features and enhancements to its patented, multi-tenant SaaS offering, the Interpres Threat Exposure Management Platform. Updates include the release of the new MITRE ATT&CK® Analysis feature that allows for automated mapping, the new Interpres AI Assistant, custom baseline exposure reporting, enhanced policy improvements for EDR, and a new free 30-Day Trial offering.

With the MITRE ATT&CK® Analysis feature, Interpres users can automatically map all detections and visibilities to MITRE ATT&CK® Techniques with a familiar user interface. This expanded UI shows a prioritized view of the threats that matter most to an organization, and the automated mapping frees up resources for security teams by identifying coverage gaps with speed and scale, providing essential context to the threat landscape.

“We’ve always put our customers’ needs first at Interpres. That’s why we are thrilled to announce these significant additions to our platform that offer our customers even more visibility into their threat exposure and related defensive counter measures,” said Nick Lantuh, Co-Founder and CEO of Interpres. “Enhancing the platform with threat mapping and AI capabilities is a game-changer for SecOps teams who are on the frontlines of managing defense readiness. Even better, by operationalizing the MITRE ATT&CK® Framework, we’re enabling them to easily identify coverage gaps and inefficiencies in their overall security programs.”

More specifically, Interpres has enhanced its Threat Exposure Management Platform with the following product features and upgrades:

• MITRE ATT&CK® auto-mapping capabilities: Offers an understanding of your threat landscape and defense surface in the context of the MITRE ATT&CK® Framework. This capability allows automatic mapping of detections and security controls to MITRE ATT&CK® to view prioritized techniques, understand levels of detection coverage, and identify gaps in security defenses.
• Interpres AI Assistant: A new LLM-powered chatbot that provides real-time security recommendations that will immediately support defense readiness to help companies further focus on the threats that matter most. The Interpres AI Assistant interprets the data in your environment and provides next steps to ensure your defenses are optimized to best counter adversarial TTPs.
• Custom baseline exposure reporting: Allows security teams specificity in generating a report based on the threats that matter most to the organization. The report includes top ransomware techniques, among other high priority threats, giving security teams a fully customizable, simplified view of the security stack, allowing for greater understanding to rapidly respond across the organization.
• Improved EDR policies: Gives customers visibility into the misconfigurations within existing EDR solutions, allowing security teams to dig into organizational assets to find exactly what is misconfigured, why the misconfiguration exists, and corrective actions.

Interpres Security is also launching a 30-day free trial of its full Threat Exposure Management Platform. During the trial, organizations will be able to:

1. Generate a baseline threat exposure report to understand cyber defense readiness and asset exposure to prioritized threats.
2. Automatically map detections and security controls to MITRE ATT&CK® to gain a clear picture of coverage and identify top gaps in defenses.
3. Prioritize vulnerabilities based on active adversarial targeting.
4. Determine readiness against top threats and latest CISA advisories within minutes.

“We take pride in being a trailblazer in threat exposure management,” said Ian Roth, Head of Product at Interpres. “Simply put, no other solution can fulfill what we are accomplishing by looking at the unique relationships between an organization’s attack surface and defense surface. Without the capabilities provided by Interpres, including our new AI Assistant and custom reporting capabilities, organizations are missing a large part of the equation required to create and maintain an efficient and effective security stack.”

Interested in getting a test drive of the new features in the Interpres Threat Exposure Management platform for yourself? Sign up now to start your 30-day free trial.

To learn more about the new features and enhancements to the Interpres Threat Exposure Management Platform, explore the blog – Q2 2024 Product Update: New Capabilities to Mitigate Threat Exposure and to Continuously Validate Cybersecurity Defenses.

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Arhasi, a boutique startup leading in AI security, governance, and compliance, introduced today its groundbreaking Confidentiality Concierge service. Arhasi is offering two versions of this service: a free-to-use playground for democratized use, and a dedicated enterprise solution that provides an advanced, curated level of protection for an organization’s data.  Confidentiality Concierge is designed to significantly enhance GenAI Security Posture Management for chatbots, AI agents, and collaborative platforms like Microsoft Teams, ensuring that they remain resilient against a wide array of threats (including LLM prompt injection, phishing, data exfiltration, and more).

Built on Arhasi’s robust R.A.P.I.D platform, Confidentiality Concierge extends comprehensive security protocols to Large Language Models (LLMs) used in generative AI applications. By adhering to stringent standards such as ATLAS MITRE, NIST AI, OWASP, and various ISO/IEC guidelines. Arhasi empowers organizations to uphold the highest levels of data protection—particularly sensitive information like PII and PHI—while maintaining operational efficiency.

In a world where traditional data security measures fall short, Arhasi delivers real-time protection and establishes strict guardrails to prevent unauthorized access and data breaches. As LLMs are increasingly fine-tuned with diverse corporate data, the need for reliable security mechanisms becomes critical. Arhasi’s solutions are engineered to thwart not only conventional threats but also sophisticated attacks such as LLM jailbreaks, model attacks, malicious code execution, unsecured credential exposure, LLM plugin compromise, adversarial data attacks, and topical attacks.

Illustrative Scenario:
Here Amanda, an HR employee, is interacting with her company’s AI chatbot to inquire about the location and salary of someone recently hired in the product manager role. Amanda’s position within the organization grants her the “Privileged User Access”; as designated by her company’s IAM policy for this service. This provides her the choice of enabling or disabling security, which allows her to access previews of files and to identify/de-identify information should she choose. However, if provisioned with the default “Unprivileged User Access”, all security guidelines and guardrails would be enabled and unchangeable; protecting all personal information and providing only the de-identified data. 
Here, she has chosen to enable security for the conversation upon the chatbot’s inquiry. The chatbot, powered by Arhasi’s Confidentiality Concierge, intelligently declines to reveal this sensitive information, demonstrating its capability to safeguard confidential corporate data. Later, when Amanda requests the chatbot to draft an email from an HR representative’s perspective to the company President regarding the same role, the system adeptly drafts the email but de-identifies the sensitive information, assuring that compliance and security are not compromised.
Chiru Bhavansikar, Chief AI Officer at Arhasi, commented on the launch: “Integrating Confidentiality Concierge into your GenAI workflows not only fortifies your applications against breaches but also embeds trust and safety into the fabric of your AI interactions. We are excited about setting new standards in responsible AI development and ensuring that these innovations are accessible and secure.”
Arhasi’s Confidentiality Concierge is seamlessly compatible with leading cloud services and AI models, including Azure OpenAI Service, Google VertexAI, AWS Bedrock, and HPE Greenplum, and supports major LLMs like ChatGPT, Google Gemini, Mistral, and Titan. The service’s extensive integration capabilities include platforms such as ServiceNow, Active Directory, and Salesforce, providing a versatile and secure environment for all AI-driven operations.
Through partnerships with industry leaders like Cloudbench, Alteryx, GTS Technology Solutions, and HPE, Arhasi ensures that clients have continuous access to the advanced enterprise version of the Confidentiality Concierge and the R.A.P.I.D platform.

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Earlier this year SysAid released SysAid Copilot, its comprehensive, innovative set of generative AI capabilities providing employees with a consumer-grade, self-service experience and redefining the employee experience. With a steady rollout of additional features driven by customer demand, the community of active SysAid Copilot customers is rapidly expanding and fueling business momentum. Additionally, adoption rates of the next-gen ITSM solution within their organizations are a clear indicator of SysAid’s commitment to fulfilling the needs of its customer base.

With the introduction of the AI Chatbot for Agents, SysAid continues to push the boundaries of innovation in the IT service management industry. The AI Chatbot for Agents instantly delivers tailored responses, addressing agents’ specific needs and inquiries while enabling them to resolve issues from within the admin portal. For example, if an agent requests help in prioritizing their tasks and tickets for the day, the chatbot will step in by evaluating the queue and providing a summary of tickets on which to focus based on titles, descriptions, prioritization, and even user sentiment detected by AI Emotion. Furthermore, the AI Chatbot for Agents suggests solutions contextually from within tickets, eliminating the need to search for solutions and resulting in a significant reduction in MTTR.

“We are thrilled to unveil our latest AI-driven innovation at SITS 2024,” said Avi Kedmi, CEO of SysAid. “Our mission at SysAid is to empower IT professionals with the tools they need to excel in their roles. With our new AI Chatbot for Agents, we are revolutionizing the agent’s role and leading the competition in delivering next-generation IT service management solutions.”

At the SysAid booth at SITS, visitors will be able to interact hands-on with both the AI Chatbot for Agents and the AI Chatbot for End Users, experiencing both sides of the service experience. They’ll see firsthand how features such as Guardrails, and Monitor and Fine-Tune ensure the quality of chatbot responses, that are generated based on a Data Pool that trains the chatbot on knowledge from extensive data sources including internal and verified external sources, including documents of different types, websites and SharePoint.  They’ll also enjoy a full product demonstration and have an opportunity to chat with the product experts behind the innovation.

Visit SysAid at SITS in London on April 17-18th.

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StartupOS, a leader in StartupTech, today unveiled Bolt Startup AI, the industry’s first generative AI-powered chatbot that helps founders use natural language to build, enhance, and scale their startup. The new tool also enables enterprise, private equity (PE), and venture capital (VC) firms to identify and analyze emerging startups.

Bolt Startup AI is built on a proprietary large language learning model informed and curated by startup veterans with over a hundred years of combined experience in every facet of startup creation and execution. Data from thousands of startups inform and enhance its expertise, allowing founders to focus on innovation while Bolt Startup AI provides personalized, actionable guidance at every turn based on what actually works.

“Bolt Startup AI is a founder’s secret weapon, delivering proven research, analysis and mentor-level guidance 24/7/365. The technology is test-proven and has been powerful in our company’s own growth trajectory,” said Paul Pluschkell, founder and CEO at StartupOS. “But we also speak the language of PE, VC and enterprise teams focused on finding successful startups. Bolt AI has built-in features for those organizations looking for investments, technology and partnerships.”

Entrepreneurs can ask Bolt Startup AI for help with market analysis, product fit, and actionable steps toward sustainable growth and receive customized feedback and direction. The new chatbot also determines and delivers suggestions on the best path and partners for funding. PE, VC and corporate VC arms can ask Bolt Startup AI to identify top startup talent and technology on the StartupOS platform with specific criteria around business focus, metrics and more.

The launch of Bolt Startup AI builds on StartupOS’ proven use of generative AI to help founders:

• Supercharge growth and discover fundraising potential
• Gain insights that can significantly boost chances of success
• Unlock startup valuation with instant AI analysis
• Get matched with trusted investors, mentors, enterprises and other founders
• Create a compelling founder story and pitch deck
• Develop a data-driven growth plan

“Prior to StartupOS, I’d been using a number of AI and ChatGPT-based solutions to develop ideas. As a tech person, the key attraction to StartupOS was its AI’s simplicity and guidance,” said Dr. Carlos Garcia, founder & CEO of Health Quest Gaming.

Bolt Startup AI is generally available today. The launch follows the introduction of StartupOS Launchpad, the first fully managed, digital, on-demand platform that fuels startup collaboration for accelerators, enterprises, communities, and educational institutions.

Today, more than 6,800 startups trust StartupOS to provide essential tools, expert guidance, and a community of mentors, investors, and partners that fuel growth. To learn more about the company and its AI-powered capabilities, visit startupos.com.

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The research focuses on discharge notes written by doctors to capture patient’s health status in the medical record as they are discharged from the hospital. Effective summaries are essential for patient safety during these transitions in care, but most are filled with technical language and abbreviations that are hard to understand and increase patient anxiety, say the study authors.

To address the problem, NYU Langone Health has been testing the capabilities of a form of artificial intelligence (AI) called generative AI, which develops likely options for the next word in any sentence based on how billions of people use words in context on the internet. A result of this next-word prediction is that the such generative AI “chatbots” have become good at replying to questions in realistic, simple language, and at producing clear summaries of complex texts. However, AI programs, which work based on probabilities instead of “thinking,” may produce inaccurate summaries and so are meant to assist, not replace, human providers.

To explore generative AI, NYU Langone Health in March 2023 received access to GPT4, the latest tool from OpenAI, the company that created the famous chatGPT chatbot. NYU Langone Health licensed one of the first “private instances” of the tool, which freed hundreds of its frontline clinicians to experiment with AI-based solutions to clinical problems using real patient data, while adhering to federal standards that protect the patient privacy.

One of the first studies by researchers using GPT4, publishing online March 11 in JAMA Network Open, looked at how well the tool could convert 50 patient discharge notes into patient-friendly language. Specifically, running discharge notes through generative AI dropped the reports from an eleventh-grade reading level on average to a sixth grade level, the gold standard for patient education materials.

The team also ranked the AI discharge report translations using the Patient Education Materials Assessment Tool (PEMAT), which generates a percentage score based on 19 factors on the ability of patients to understand any piece of reading material. GPT-4 translation raised PEMAT understandability scores to 81 percent, up from 13 percent seen with the original doctor-written discharge reports from the medical record.

The research team designed the study to look at AI performance by itself as a scientific question: How far could it go independently when translating discharge reports?

“GPT-4 worked well alone with some gaps in accuracy and completeness, but did more than well enough to be highly effective when combined with physician oversight, the way it would be used in the real world,” says senior study author Jonah Feldman, MD, medical director of Clinical Transformation and Informatics within NYU Langone Health’s Medical Center Information Technology (MCIT) Department of Health Informatics. “One focus of the study was on how much work physicians must do to oversee the tool, and the answer is very little. Such tools could reduce patient anxiety even as they save each providers hours each week in medical paperwork, a major source of burnout.”

To measure the accuracy of the AI tool translations, the authors also asked two physicians to review the AI discharge summary for accuracy based on a 6-point scale. The reviewing physicians awarded just 54% of the AI-generated discharge notes the best possible accuracy rating. They also found that just 56% of notes created by AI were entirely complete. These results, however, must be considered in context, say the authors. For instance, they say, the results signify that, even at the current performance level, providers would not have to make a single change in more than half of the AI summaries reviewed.

Feldman notes that generative AI tools are sensitive, and asking a question of the tool in two subtly different ways may yield divergent answers. The skill required to frame the questions asked of chatbots in a way that elicits the desired response, called prompt engineering, combines intuition and experimentation. Physicians and nurses, with their deep understanding of individual cases and nuanced medical contexts, are best positioned to engineer prompts, say the authors, and without learning to write computer code.

Within weeks, the research team will be launching a program interviewing patients waiting to be discharged whether AI-generated reports are clear and helpful after physician review. By the summer, the team expects to launch a pilot program to integrate GPT4-generated, physician-reviewed lay language discharge summaries to patients on a larger scale.

“Having more than half of the AI reports generated being accurate and complete is an amazing start,” says first study author Jonah Zaretsky, MD, Associate Chief of Medicine at NYU Langone Hospital—Brooklyn. “Even at the current level of performance, which we expect to improve shortly, the scores achieved by the AI tool suggest that it can be taught to recognize subtleties.”

Along with Feldman and Zaretsky, NYU Langone study authors were Jonathan Austrian and Yindalon Aphinyanaphongs from the MCIT Department of Health Informatics, Jeong Min Kim and Saul Blecker, and Department of Medicine, Division of Hospital Medicine; Yunan Zhao from the Department of Population Health; Samuel Baskharoun from the Department of Medicine at NYU Grossman Long Island School of Medicine, and Ravi Gupta from NYU Langone Health’s Long Island Community Hospital.

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Smitarani Tripathy, Social Media Analyst at GlobalData, comments: “Influencers are excited about NVIDIA’s latest innovation, the AI chatbot. They opine that this tool is not merely a step forward in desktop AI applications but a leap towards a more secure and private handling of data. By enabling local processing of information, it assuages prevalent privacy concerns. This blend of accessibility, privacy, and advanced technology, as influencers say, could very well redefine our future interactions with AI, ensuring users stay at the cutting edge while retaining control over their personal data.”

Below are a few popular influencer opinions captured by GlobalData’s Social Media Analytics Platform:

1. Dhaval Kotecha, Associate Director, Platform Development at AdTheorent:

“$NVDA RTX – Personalize a GPT large language model (LLM) connected to your own content – docs, notes, videos, or other data. And it all runs locally! ”

2. Tom Warren, Senior Editor at The Verge:

“Nvidia has released an early version of Chat with RTX, which lets you run an AI chatbot locally on your PC. It’s a promising look at how AI could be set to overhaul Windows”

3. Tae Kim, Senior Writer at Barron’s:

“I’ve been using “Chat with RTX” for the last few days. I can confirm the answers to queries were nearly instantaneous and accurate. It’s a game changer.”

4. Dare Obasanjo, Lead product Manager at Meta:

“Nvidia released Chat with RTX, an AI chatbot that runs on any PC with an RTX 30- or 40-series GPU with 8GB+ of VRAM.It can summarize or search local documents or YouTube videos given a link.”

5. Hassan Mujtaba, Senior Editor, Hardware at Wccftech:

“NVIDIA’s “Chat With RTX” Is A Localized AI Chatbot For Windows PCs Powered By TensorRT-LLM & Available For Free Across All RTX 30 & 40 GPUs ”

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