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Latest news headlines about artificial intelligence

Can enterprise identities fix Gen AI's flaws? This IAM startup thinks so

Feb. 21, 2024, 2:52 p.m. • ZDNet • (5 Minute Read)

The identity and access management (IAM) startup IndyKite of San Francisco has introduced a new approach to addressing the trust problem in generative AI. By applying cybersecurity techniques to vet sources of data, the software aims to ensure the trustworthiness of leveraged data in any business or analytics model. This system, leveraging popular Neo4j graph database management software, aims to verify the origins of data before it is used to train programs, potentially addressing issues related to biases and data drift in generative AI. With $10.5 million in seed financing from Molten Ventures, Alliance Ventures, and SpeedInvest, IndyKite's efforts to enhance trust and accuracy in Gen AI are gaining attention in the cybersecurity and artificial intelligence fields.

The Evolution of AI: Differentiating Artificial Intelligence and Generative AI

Feb. 15, 2024, 7:16 a.m. • • (15 Minute Read)

Roman Rember, discusses the emergence of Generative Artificial Intelligence (GenAI) as a subset that goes beyond traditional AI capabilities. While AI excels in specific tasks like data analysis and pattern prediction, GenAI acts as a creative artist by generating new content such as images, designs, and music. The article highlights the potential impact of GenAI on various industries and the workforce, citing a McKinsey report that anticipates up to 29.5% of work hours in the U.S. economy being automated by AI, including GenAI, by 2030. However, the integration of GenAI into teams poses unique challenges, such as potential declines in productivity and resistance to collaboration with AI agents. The article emphasizes the need for collaborative efforts between HR professionals and organizational leaders to address these challenges and establish common practices for successful integration. It also underscores the importance of robust learning programs and a culture emphasizing teaching and learning to harness the potential of GenAI for growth and innovation. The article provides a comprehensive overview of GenAI and its implications, aiming to inform and prepare organizations and individuals for the transformative power of this technology.

Why AI will push enterprises to eliminate the silos that slow innovation

Feb. 12, 2024, 3:19 p.m. • • (6 Minute Read)

In the news story author Chris Reddington discusses how generative AI is driving a cultural shift in enterprise development processes. Reddington argues that while many businesses understand the benefits of a streamlined and progressive development cycle, they often struggle to effectively implement it due to organizational silos. The rapid advancement of technology has emphasized the need for enterprises to embrace progressive software development and integrate AI into their processes. Reddington emphasizes the need for organizations to eliminate these silos and undergo cultural change to adapt to the evolving technological landscape, or risk being left behind. Generative AI is expected to drive a major shift in how enterprises organize themselves, ushering in a new wave of innovation.

Artificial intelligence framework for heart disease classification from audio signals | Scientific Reports

Feb. 7, 2024, 11:17 a.m. • • (46 Minute Read)

In the article researchers investigate the use of machine learning (ML) and deep learning (DL) techniques to detect heart disease from audio signals. The study utilizes real heart audio datasets and employs data augmentation to improve the model’s performance by introducing synthetic noise to the heart sound signals. Additionally, the research develops a feature ensembler to integrate various audio feature extraction techniques. Several machine learning and deep learning classifiers are utilized for heart disease detection, and the multilayer perceptron model performs best, with an accuracy rate of 95.65%. The study demonstrates the potential of this methodology in accurately detecting heart disease from sound signals, presenting promising opportunities for enhancing medical diagnosis and patient care. The article also emphasizes the importance of early detection in the fight against cardiovascular disease and highlights the potential of advanced technologies, such as machine learning and artificial intelligence, in improving healthcare outcomes. Additionally, the research addresses the need for broader and more efficient ML and DL models to improve the accuracy and reliability of diagnosing cardiovascular diseases, aiming to make important advancements in the field. The article provides insights into the research gap, the proposed methodology, and the future developments in the field of heart disease detection from sound signals. Overall, the study contributes to the development of more accurate and reliable methods for diagnosing cardiovascular diseases, potentially improving patient outcomes and lessening the impact of cardiovascular disease.

Google's Bard AI Chatbot Will Soon Be Called Gemini

Feb. 5, 2024, 7:37 a.m. • Analytics Insight • (5 Minute Read)

Google's AI chatbot Bard will soon be rebranded as Gemini, highlighting its enhanced capabilities, according to a leaked changelog by developer Dylan Roussel. Gemini is based on a large language model (LLM) and is capable of complex activities such as coding, deductive reasoning, and creative collaboration. It will be integrated into other Google services like YouTube, Gmail, and Maps to improve their functionality. Additionally, Google plans to release a premium membership level called Gemini Advanced, offering access to Gemini Ultra, the most powerful version of the AI. Furthermore, an Android app for Gemini is in development to allow users to utilize Google's AI for various purposes on their phones. This rebranding and new features are expected to position Google's Gemini as a competitive AI chatbot in the market.

How to Build an Effective and Engaging AI Healthcare Chatbot

Feb. 3, 2024, 8:37 a.m. • Analytics Insight • (6 Minute Read)

In the dynamic realm of healthcare, Artificial Intelligence (AI) has emerged as a game-changer, bringing forth innovative solutions to enhance patient engagement and streamline medical services. Among the remarkable AI applications, healthcare chatbots stand out as virtual assistants, poised to revolutionize the way patients interact with the healthcare ecosystem. These intelligent conversational agents offer a spectrum of services, from scheduling appointments to providing crucial medical information and symptom analysis. This comprehensive guide illuminates the pivotal steps involved in crafting a potent AI healthcare chatbot. Delving into the intricacies of compliance, data security, and personalized interactions, it navigates the intersection of cutting-edge technology and the nuanced landscape of healthcare, offering a roadmap for developers to create effective and engaging digital healthcare companions. AI healthcare chatbots serve as virtual assistants capable of engaging in natural language conversations with users. They can offer a wide range of services, including appointment scheduling, medication reminders, symptom analysis, and general health information dissemination. Building an effective healthcare chatbot involves a combination of technical prowess, understanding healthcare nuances, and ensuring a user-friendly experience. The guide delves into key steps to build an AI healthcare chatbot, including defining the purpose and scope, compliance with healthcare regulations, data security and privacy measures, natural language processing (NLP) integration, medical content integration, personalization and user profiles, appointment scheduling and reminders, symptom analysis and triage, continuous learning and updates, and multi-channel accessibility. The article also highlights the challenges and considerations in building AI healthcare chatbots, such as ethical considerations, potential biases in AI algorithms, and the need for ongoing maintenance and updates.

GenAI outlook: Expect industry disruption and job cuts

Jan. 23, 2024, 12:17 p.m. • • (6 Minute Read)

A recent research report by credit rating firm Moody’s suggests that generative AI (GenAI) has the potential to disrupt industries such as legal and business services. The study indicates that a quarter of CEOs expect to reduce headcount due to AI, with advanced countries likely to be more affected than developing ones. While AI offers opportunities for improved productivity and job creation, Moody's predicts that certain industries, especially those with moderate-to-high education requirements and minimal face-to-face interactions, will face challenges. Additionally, off-the-shelf AI tools could potentially disrupt companies in the business and consumer services industry. Legal services providers are considered particularly vulnerable to AI disruption, as AI tools can perform document reviews and other text-based services efficiently. Moreover, the report highlights potential cybersecurity risks associated with advances in AI, emphasizing the need for proper data quality and ethical considerations. Consequently, as AI technology becomes more prevalent, industries can expect significant disruptions and potential job cuts.

Meta is going all in on artificial general intelligence, says Zuckerberg. Here's why it matters

Jan. 22, 2024, 8:29 a.m. • ZDNet • (5 Minute Read)
Meta is intensifying its focus on artificial general intelligence (AGI) with an aggressive investment in infrastructure, as announced by CEO Mark Zuckerberg. The company, known for its AI advancements, aims to merge its FAIR and GenAI research efforts to support the development of AGI. This move is intended to eventually make AGI available and useful to everyone in their daily lives. Meta is also building a substantial amount of infrastructure, with plans to have 350,000 Nvidia H100s by the end of the year, doubling its previous investment. AGI refers to AI capable of autonomously performing complex tasks with unprecedented intelligence, posing both potential benefits and concerns. The company's commitment to AGI development suggests that this technology may become a reality sooner than expected.

How to Use Your Data to Train Generative AI Models

Jan. 21, 2024, 8:41 a.m. • Analytics Insight • (6 Minute Read)
The article provides a comprehensive guide on effectively training generative AI models with business data. It emphasizes the benefits of utilizing proprietary data to customize technology, solve industry-specific challenges, and enhance efficiency. The article outlines steps for training a generative AI model, including defining the goal, selecting the right model, collecting and editing the data, protecting sensitive information, formatting the data for training, and determining the training program. Additionally, it stresses the importance of meticulous planning, understanding, and continuous refinement in leveraging the creative potential of generative AI. The news story also emphasizes the need for ethical considerations and compliance with data privacy laws when working with sensitive information.

Why is the internet crazy for the Rabbit R1?

Jan. 13, 2024, 6:20 p.m. • Mashable • (4 Minute Read)

The Rabbit R1 AI Assistant has taken the internet by storm, selling out in just one day. This pocket-sized, retro assistant designed by Rabbit CEO Jesse Lyu aims to simplify the smartphone experience. Priced at $200, the device features a 2.88-inch touchscreen, a camera, control wheel, speakers, and 4GB of memory, among other capabilities. Operating on Rabbit OS and using the Large Action Model (LAM) AI model, the R1 responds to voice commands, aims to offer a less intrusive digital experience, and can navigate app interfaces. Despite its popularity and unique features, the initial 10,000 units have sold out, with a second batch also sold out. The R1's appeal lies in its nostalgic simplicity during a time when companies are integrating with existing operating systems, offering a unique alternative to typical smartphones.

Google Cloud Debuts New Generative AI Technologies for Retailers Worldwide

Jan. 11, 2024, noon • PR Newswire • (11 Minute Read)

Google Cloud has launched a series of new generative AI-powered technologies aimed at enhancing the retail experience worldwide. The debut includes a conversational commerce solution to facilitate the deployment of personalized chatbots for online shopping, a customer service modernization solution for creating personalized and streamlined experiences, and a catalog and content enrichment solution to simplify and speed up the product cataloging process. Additionally, Google Cloud has improved its search technology for retailers and introduced a combined edge hardware and software offering called Google Distributed Cloud Edge to facilitate the deployment, management, and scaling of applications and AI innovations across multiple locations. These innovations aim to help retailers streamline operations and provide more personalized shopping experiences. According to new research, there is a strong urgency among retail decision-makers to adopt generative AI technologies, and Google Cloud's new solutions are expected to add substantial value in 2024.

NVIDIA partners with Amgen to build generative AI models for drug discovery

Jan. 10, 2024, 11:29 a.m. • Medical Device Network • (6 Minute Read)

US-based technology company NVIDIA has partnered with Amgen to construct artificial intelligence (AI) models for drug discovery. NVIDIA made the announcement at the J P Morgan Healthcare Conference, revealing the collaboration with Amgen and its plan to deploy the AI model-building platform, Freyja, at deCODE genetics headquarters in Reykjavik, Iceland. The platform aims to analyze extensive human datasets to identify drug targets and biomarkers, facilitating diagnostics for disease progression and regression. The integration of NVIDIA’s DGX SuperPOD data platform with 31 DGX X100 nodes and 248 H100 Tensor Core GPUs will expedite the training of advanced AI models. This initiative highlights the growing importance of AI in healthcare and its potential to revolutionize drug discovery processes.

Microsoft, OpenAI face new lawsuit over copyrighted work misuse

Jan. 8, 2024, 10:33 a.m. • Verdict • (5 Minute Read)

In a recent lawsuit, nonfiction authors Nicholas Basbanes and Nicholas Gage have accused Microsoft and OpenAI of copyright infringement. They claim that portions of their books were used to train OpenAI's GPT language model and the ChatGPT chatbot. The lawsuit, filed in a Manhattan federal court, alleges that their literary works were improperly utilized without compensation, joining a trend of legal action against tech giants by writers over the use of their creative works to train AI programs. Microsoft and OpenAI have yet to formally respond to the allegations, while OpenAI is reportedly in discussions for licensing agreements with publishers.

Afraid of AI? I confronted it for you and its responses were fascinating

Jan. 6, 2024, noon • ZDNet • (8 Minute Read)

Chris Matyszczyk, a contributing writer, recently delved into the world of generative AI to confront the fears and concerns surrounding it. In the midst of widespread apprehension about the influence of AI, Matyszczyk took it upon himself to serve as a mediator, seeking answers from Open AI's ChatGPT. Through a series of probing questions, such as "Why should I be afraid of ChatGPT?" and "Do you think you can be smarter than humans?" ChatGPT provided illuminating and reassuring responses. The AI exemplified an understanding of ethical considerations, humbly acknowledged its limitations, and expressed a desire for AI to complement, rather than replace, human intelligence. This insightful exploration helps to demystify and humanize AI, promoting a more informed and thoughtful approach to its integration into our lives.

AI commerce: ChatGPT maker OpenAI to open GPT store

Jan. 6, 2024, 4:42 a.m. • ETCIO • (2 Minute Read)

OpenAI, the developer of ChatGPT, is set to launch the GPT Store, where users can sell and share custom AI models based on the company's large language models. The announcement comes after a delay due to the intense drama over OpenAI CEO Sam Altman's firing and rehiring. The GPT Store will enable users to create tailored versions of ChatGPT for specific purposes, such as helping with tasks at work or home, and then share those creations with others. OpenAI has also announced plans for users to earn money based on the usage of their GPT models. Additionally, telecom and retail conglomerate Jio is seeking generative pre-trained transformers (GPT) and large language model (LLM)-based solutions for its businesses.

YouTube Channels to Learn Generative AI in 2024

Jan. 4, 2024, 10:07 a.m. • Analytics Insight • (6 Minute Read)

In 2024, individuals interested in learning about Generative AI can turn to several YouTube channels that offer valuable resources and insights. One notable channel is "Two Minute Papers," known for its simplistic explanations of technical papers related to artificial intelligence and accompanied by visualizations. "Matt Wolfe" delves into AI-related news, tools, and products with a focus on futurism, while "DeepLearning.AI" provides world-class AI education through free machine learning courses and events. Additionally, "AI Explained" and "Robert Miles AI Safety" cover groundbreaking developments and the importance of addressing potential risks associated with AI advancements. "Nang" offers an accessible approach to tech-related subjects, and "All About AI" focuses on practical applications of generative AI, aiming to demystify the field. These channels serve as valuable resources for individuals keen on staying abreast of the latest developments in the realm of Generative AI.

Microsoft's GitHub Copilot pursues the absolute 'time to value' of AI in programming

Dec. 29, 2023, 9:01 p.m. • ZDNet • (8 Minute Read)

Microsoft's GitHub Copilot has been a major player in the pursuit of the ultimate 'time to value' of AI in programming, as reported by ZDNET. In an interview with ZDNET, Inbal Shani, chief product officer for GitHub, emphasized that the essence of coding help via automation lies in changing the nature of a programmer's job. GitHub Copilot, introduced in June 2021, has been transforming the landscape of AI in programming, with over a million paying customers and 37,000 organizations using it. Key users like Accenture have seen significant efficiency improvements, with a 15% increase in completed pull requests and a reduction in boilerplate code writing. Shani highlighted that the adoption of Copilot and similar tools has the potential to give more bandwidth for developers to invest in other areas by automating certain tasks. Additionally, the introduction of an enterprise version of Copilot by GitHub is expected to further customize the use of AI in programming and bring numerous advantages in diverse aspects of software development. However, measuring the true impact of these tools and defining productivity remains ongoing work. This news story highlights the significant progress and potential impact of AI in programming, especially through tools like GitHub Copilot, and sheds light on the ongoing evolution of AI's role in software development.

OpenAI unveils plan to mitigate AI risks

Dec. 19, 2023, 11:14 a.m. • Verdict • (5 Minute Read)

OpenAI has revealed its strategic plan to address potential risks associated with artificial intelligence (AI). In response to the dangers of AI, particularly the risk of providing information on how to construct chemical and biological weapons to cybercriminals, the organization has established a “preparedness” team led by MIT AI professor Aleksander Madry. The team, which includes AI researchers, computer scientists, national security experts, and policy professionals, will focus on monitoring evolving technologies, conducting continuous assessments, and providing timely warnings in the event AI poses a danger. Additionally, the team will work to mitigate biases in AI and consider potential future scenarios of AI surpassing human intelligence. The move comes as Google and Microsoft have previously issued warnings regarding the existential threats posed by AI, likening them to the severity of pandemics or nuclear weapons. The news underscores the increasing recognition of the need to address AI risks and build safeguards against potential dangers.

Is prompt engineer displacing data scientist as the 'sexiest job of the 21st century'?

Dec. 18, 2023, 10:56 a.m. • ZDNet • (6 Minute Read)

In a world currently fascinated with generative AI, the role of prompt engineer is quickly becoming one of the most sought-after jobs. Prompt engineering involves deriving the best and most relevant responses from generative AI tools through conversational and programmatic methods. According to ZDNET contributor David Gerwitz, professional prompt engineers are earning annual rates of up to $175,000, significantly higher than those of data scientists. However, finding skilled prompt engineers remains a significant challenge, as they require a diverse set of skills encompassing AI, programming, language, problem-solving, and even artistry. Greg Beltzer, head of technology at RBC Wealth Management, emphasizes the difficulty of recruiting prompt engineers, noting that the scarcity of these skills is driving up their cost, with some skilled individuals commanding salaries exceeding $300,000 annually. Despite the high demand for prompt engineers, the field still lacks robust and useful tools, making it challenging to identify the exact skill set and backgrounds best suited for this role. Consequently, Beltzer believes that training prompt engineers will necessitate a blend of technical and business acumen, with a creative edge. While the scarcity of skilled prompt engineers poses a significant challenge, Beltzer remains optimistic about the potential for tools to streamline the training of AI models systematically and programmatically. Nonetheless, he stresses that the human touch will always be necessary to complement AI capabilities, particularly in sectors like wealth management, where personal interaction and reassuring human communication are irreplaceable. These insights underscore the pivotal role of prompt engineers in harnessing the full potential of generative AI and the ongoing need for organizations to adapt and invest in this emerging field, ultimately shaping the future landscape of talent acquisition and business operations in the AI era.

Top 10 artificial intelligence stories of 2023

Dec. 18, 2023, 10:33 a.m. • • (7 Minute Read)

In 2023, there has been a surge in the development and deployment of artificial intelligence (AI) software and hardware in the tech sector. This year, generative AI (GenAI) models like ChatGPT have gained significant attention, sparking conversations about the incorporation of AI capabilities into various products. Hardware providers have focused on integrating AI acceleration hardware, such as graphics processing units, into servers to power machine learning and AI workloads. Analysts predict that the use of generative AI will continue to grow, enabling the democratization of knowledge and skills. Furthermore, AI is becoming increasingly embedded in business software, with companies like Microsoft, Google, SAP, Oracle, and Salesforce incorporating generative AI features into their products. This trend is expected to continue into 2024 as organizations seek to enhance efficiency and productivity with AI. The top 10 AI stories of 2023 include discussions on conversational AI vs generative AI, the impact of AI on software development, the AI developer opportunity, and the integration of AI into enterprise software. These developments highlight the growing role of AI in shaping the digital landscape and its potential to drive business value in various industries.