#artificial intelligence technology

[jennydcruz27]

Artificial Intelligence Technology - Techu Mayur

Dive into the realm of artificial intelligence technology with Techu Mayur's expert guidance. Stay informed, inspired, and equipped to revolutionize website development through AI-driven solutions and strategies.

#artificial intelligence technology

[purpleartrowboat]

ai makes everything so boring. deepfakes will never be as funny as clipping together presidential speeches. ai covers will never be as funny as imitating the character. ai art will never be as good as art drawn by humans. ai chats will never be as good as roleplaying with other people. ai writing will never be as good as real authors

#zylo's posts #ai #ai art #artificial intelligence #chatgpt #chatbots #ai generated #ai technology #ai tools #edit: 10k what the fuck

[fanhackers]

Fans' attitudes toward AI-generated works

Irissa Cisternino, a PhD candidate of Stony Brook University, is writing their research on topics related to technology, art and fandom. You can participate by filling out a survey and additionally, signing up for an interview. The survey is expected to last until at least the end of April, those, who signed up for the interview, will be contacted later. You need to be at least 18 years old to participate in either, be able to understand and speak English and identify as a fan.

After the completion of the research, it will be accessible as the dissertation of the researcher. If you have further questions, you can contact Irina Cisternino at [email protected] or Lu-Ann Kozlowsky at [email protected].

#survey #fandom studies #technology #artificial intelligence #irin cisternino

[seasiainfotechusa]

#artificial intelligence #ai solutions #artificial intelligence technology #ai in construction #technology #artificial intelligence services and solutions

[haute-lifestyle-com]

As the final week of voting for the SAG/AFTRA contract approaches, top names are voicing concerns against ratifying saying it falls short of the protections, around Artificial Intelligence and the replication or exploitation of the talent Is the SAG/AFTRA Deal in Trouble? #janetwalker #hautelifestylecom #theentertainmentzonecom #sagaftrastrike #ai #artificialintelligencetechnology #artificialintelligence #hollywood #boxoffice #moviestowatch 

#Janet Walker #Haute-Lifestyle.com #The-Entertainment-Zone.com #AI #sag strike #sag/aftra strike #artificial intelligence #box office #movies to watch #artificial intelligence technology #hollywood #christmas parade #toys for tots

[generalcomputerdetective]

AI-Driven Cybersecurity: Protecting Data in the Digital Age

In today's digital age, where data is the lifeblood of businesses and individuals alike, the importance of safeguarding data cannot be overstated. The proliferation of data has been accompanied by a rise in cyber threats, making data privacy, security, and protection a top priority for organizations and individuals. With technology advancing at an unprecedented pace, the traditional methods of securing data are no longer sufficient to combat evolving threats. This is where AI-driven cybersecurity comes into play, offering a revolutionary approach to protect your data in the digital age.

In this blog, we'll delve into the world of AI-driven cybersecurity, exploring how artificial intelligence is transforming the landscape of data protection and privacy. 

The Challenges of the Digital Age

The digital age has ushered in a world of unprecedented opportunities, but it has also given rise to a host of new challenges, particularly in the realms of data privacy and security. Some of the key challenges include:

Data Proliferation: With the explosive growth of data, organizations must manage and protect vast amounts of information. Data is no longer confined to on-premises servers but often resides in cloud environments, making it more susceptible to cyberattacks.

Sophisticated Cyber Threats: Cybercriminals have become increasingly sophisticated, using advanced techniques to breach systems, steal data, and disrupt operations. Traditional security measures are often ill-equipped to thwart these attacks.

Regulatory Compliance: Governments and regulatory bodies worldwide are enacting stringent data protection laws, such as GDPR and CCPA. Non-compliance can result in severe financial penalties and reputational damage.

Human Error: Despite the latest cybersecurity tools and protocols, human error remains a significant factor in data breaches. Misconfigured settings, weak passwords, and phishing attacks continue to pose risks.

AI-Driven Cybersecurity: A Game-Changer

In this ever-evolving landscape, AI-driven cybersecurity is emerging as a game-changing solution to the challenges posed by the digital age. Artificial intelligence brings to the table a range of capabilities that can significantly enhance data protection and privacy. These capabilities include:

Predictive Analysis: AI algorithms can analyze vast datasets to identify patterns and anomalies. By doing so, they can predict potential threats before they materialize, allowing organizations to take proactive measures.

Real-Time Monitoring: AI systems provide real-time monitoring of network traffic and system behavior. Any suspicious activity can be flagged immediately, reducing response times to threats.

Automation: AI can automate routine security tasks, reducing the burden on cybersecurity teams. This allows experts to focus on more complex and strategic aspects of cybersecurity.

Improved User Authentication: AI can enhance user authentication processes, making it more difficult for unauthorized users to gain access. This includes biometric authentication and behavior analysis.

Threat Detection: AI-driven cybersecurity solutions can rapidly detect and classify new and evolving threats, adapting to changing attack vectors in real-time.

Incident Response: In the event of a security incident, AI can assist in incident response by quickly identifying the source and scope of the breach, allowing for a more targeted and effective response.

The impact of AI-driven cybersecurity

Aventior's AI-Computer Vision technology is a game-changer in the realm of data protection. It combines artificial intelligence with computer vision to secure data in a novel way. Computer vision enables machines to interpret and understand visual information from the world. When applied to data security, it offers a unique advantage. 

Here are some of the key features of Aventior's AI-Computer Vision technology:

Data Classification: The system can automatically classify data, identifying sensitive and non-sensitive information. This is particularly valuable for organizations dealing with vast amounts of data.

Anomaly Detection: By continuously monitoring data access and usage, Aventior's technology can spot anomalies and suspicious behavior, which could indicate a data breach or insider threat.

Behavior Analysis: The AI component analyzes user behavior to detect deviations from established norms. This allows for more precise identification of security threats.

Response Automation: When a threat is detected, the system can automatically trigger responses, such as isolating compromised systems or alerting security teams.

Scalability: Aventior's solutions are designed to scale with an organization's data needs. Whether you're a small business or a large enterprise, their technology can adapt to your requirements.

Aventior's AI-Computer Vision technology has made a significant impact on data protection and privacy. Here are some examples of how it has benefited organizations:

Reduced False PositivesThe system's ability to differentiate between normal and abnormal behavior has led to a reduction in false positives, allowing security teams to focus on genuine threats.

Faster Threat ResponseThe real-time monitoring and automated response capabilities have significantly shortened the time required to respond to security incidents.

Compliance AssuranceAventior's technology assists organizations in maintaining regulatory compliance by ensuring data security and privacy measures are consistently enforced.

Cost SavingsBy automating many security tasks and reducing the impact of security incidents, Aventior's solutions have led to cost savings for their clients.

How AI-Driven Cybersecurity is Revolutionizing Data Protection

AI-driven cybersecurity is revolutionizing data protection in a number of ways.

Improved threat detection and responseAI-driven cybersecurity solutions can rapidly detect and classify new and evolving threats, adapting to changing attack vectors in real time. This is essential in the ever-changing threat landscape.

More personalized and proactive securityAI can be used to create more personalized and proactive security solutions. For example, AI-powered solutions can be used to analyze user behavior and identify anomalies that may indicate a security threat. This information can then be used to take preventive measures to protect the user.

Greater integration with other security technologiesAI-driven cybersecurity solutions are becoming more integrated with other security technologies, such as firewalls, intrusion detection systems, and security information and event management (SIEM) systems. This allows for a more comprehensive and coordinated approach to security.

Overall, AI-driven cybersecurity has the potential to revolutionize the way we protect our data and systems from cyberattacks.

Conclusion

In the digital age, data is both a valuable asset and a significant liability. Protecting that data is of paramount importance, and AI-driven cybersecurity is proving to be a game-changer. With its ability to predict, monitor, and respond to threats, AI is enhancing data security and privacy in ways previously unimaginable.

Aventior, with its AI-Computer Vision technology, exemplifies the potential of AI in the realm of data protection. In addition to strengthening security, the approach streamlines processes and reduces the burden on cybersecurity teams.

As we continue to embrace the opportunities of the digital age, it's essential to be equally vigilant about safeguarding our data. AI-driven cybersecurity offers a path forward, enabling us to protect our data in an ever-evolving threat landscape. In this digital age, where data is king, AI is the guardian that stands at the gates, ready to defend and protect.

To discover what AI can do for you and to learn more about Aventior's industry-leading solutions and services, contact Aventior today. 

To know further details about our solution, do email us at [email protected].

#AI-Driven #cybersecurity #data privacy #data security #data protection #artificial intelligence technology

[ellocentlabsin]

Ethical Implications of Artificial Intelligence Technology

The ethical implications of AI technology involve a complex web of moral and societal challenges emerging from the fast growth of Artificial Intelligence technology. These artificial intelligence (AI) technologies bring both great potential and substantial concerns. Furthermore, the lack of transparency in AI decision-making processes calls into question accountability and justice. To address these challenges, ethical principles and laws are emerging, emphasizing openness, responsibility, justice, and the responsible development and deployment of AI. Navigating these ethical issues is critical for reaping the advantages of AI while minimizing its potential harm and ensuring that this transformational technology is consistent with human values and societal well-being.

#software development company chandigarh #ai and ml #software development company #artificial intelligence #seo company #marketing #software engineering #artificial intelligence app development #programming #best software development company #artificial intelligence technology

[focaloid-technologies]

#aiandmachinelearning #aiandml #aiservices #machinelearningservicesus #ai and machine learning #aiservicesuk #aiservicesusa #aiservicesindia #artificialintelligenceai #artificialgeneralintelligence #artificialintelligence #artificial intelligence technology #artificial intelligence #artificialintelligenceservicescompany #artificialintelligencerobot #artificialintelligencetechnology #artificialintelligencecompanyusa #artificialintelligencecompanyindia

[perfectiongeeks]

How AI Services Can Help You Medical Sector?

Artificial Intelligence services have the potential to revolutionize the medical sector by transforming various aspects of healthcare delivery, research, and patient care. From diagnosing diseases to streamlining administrative tasks, AI is making significant advancements in the medical field. In this article, we will explore how AI services can help the medical sector in improving patient outcomes, increasing operational efficiency, and driving medical innovations.

Disease Diagnosis and Medical Imaging: AI-powered diagnostic tools and medical imaging technologies can analyze medical images, such as X-rays, CT scans, and MRIs, to assist healthcare professionals in accurate and timely disease detection. AI algorithms can detect anomalies, identify patterns, and provide insights to aid in the diagnosis of conditions like cancer, cardiovascular diseases, and neurological disorders. By augmenting the expertise of medical professionals, AI helps improve diagnostic accuracy, enabling early intervention and better patient outcomes.

Personalized Treatment Plans: AI services can analyze vast amounts of patient data, including medical records, genetic information, and treatment outcomes, to develop personalized treatment plans. Machine learning algorithms can identify patterns and predict individual patient responses to specific therapies, medications, or interventions. This personalized approach enhances treatment efficacy, minimizes adverse effects, and improves patient satisfaction.

Drug Discovery and Development: AI services are transforming the drug discovery and development process. Machine learning algorithms can analyze vast databases of genetic information, molecular structures, and scientific literature to identify potential drug targets and predict drug efficacy. AI can accelerate the identification of new drug candidates, optimize drug formulation, and support clinical trial design, leading to faster and more effective drug development.

Remote Patient Monitoring: AI-powered remote patient monitoring systems enable healthcare providers to remotely collect and analyze patient data, such as vital signs, activity levels, and medication adherence. AI algorithms can detect abnormal patterns or deviations, alerting healthcare professionals to intervene when necessary. Remote patient monitoring improves patient engagement, facilitates early intervention, and reduces hospital readmissions, particularly for chronic conditions.

Administrative Efficiency and Workflow Optimization: AI services can streamline administrative tasks and optimize healthcare workflows, allowing healthcare professionals to focus more on patient care. AI-powered chatbots and virtual assistants can handle appointment scheduling, answer basic patient inquiries, and provide educational resources. Natural Language Processing (NLP) algorithms can analyze clinical documentation, extracting relevant information and automating data entry. This automation reduces administrative burden, minimizes errors, and enhances overall efficiency.

Precision Medicine and Genomics: AI plays a crucial role in the field of precision medicine by leveraging genomic data to develop tailored treatment plans based on a patient’s genetic profile. AI algorithms can analyze genetic data, identify disease markers, and predict disease risk, enabling personalized interventions and targeted therapies. AI also facilitates the integration of genomics into routine clinical practice, contributing to more precise and effective healthcare delivery.

Public Health Monitoring and Outbreak Prediction: AI services can monitor and analyze vast amounts of data from multiple sources, including social media, electronic health records, and public health databases, to detect disease outbreaks and monitor population health trends. AI algorithms can identify patterns, assess risk factors, and predict disease spread, enabling timely interventions, resource allocation, and proactive public health measures.

Conclusion: Artificial Intelligence services have the potential to transform the medical sector by improving diagnosis accuracy, facilitating personalized treatments, accelerating drug discovery, enhancing patient monitoring, optimizing workflows, and contributing to medical research and innovations. As AI continues to evolve, it is essential for healthcare professionals, researchers, and policymakers to embrace its capabilities responsibly, ensuring patient privacy, data security, and ethical considerations are prioritized. By harnessing the power of AI, the medical sector can significantly improve patient care, increase operational efficiency, and pave the way for groundbreaking advancements in healthcare.

#AI Services Can Help You Medical Sector #ai development #artificial intelligence technology #app development #ios app development #website development company #ui and ux design service #iot development services

[noosphe-re]

"There was an exchange on Twitter a while back where someone said, ‘What is artificial intelligence?' And someone else said, 'A poor choice of words in 1954'," he says. "And, you know, they’re right. I think that if we had chosen a different phrase for it, back in the '50s, we might have avoided a lot of the confusion that we're having now." So if he had to invent a term, what would it be? His answer is instant: applied statistics. "It's genuinely amazing that...these sorts of things can be extracted from a statistical analysis of a large body of text," he says. But, in his view, that doesn't make the tools intelligent. Applied statistics is a far more precise descriptor, "but no one wants to use that term, because it's not as sexy".

'The machines we have now are not conscious', Lunch with the FT, Ted Chiang, by Madhumita Murgia, 3 June/4 June 2023

#quote #Ted Chiang #AI #artificial intelligence #technology #ChatGPT #Madhumita Murgia #intelligence #consciousness #sentience #scifi #science fiction #Chiang #statistics #applied statistics #terminology #language #digital #computers

[rodolfodavis]

Astro by Amazon is a revolutionary household robot that integrates Artificial Intelligence technology. To know how it redefines how we interact with our houses, read here.

#Artificial Intelligence technology #ai #app development

[gwydionmisha]

#A.I. #Sam Altman #OpenAI #Artificial Intelligence Technology #News

[f-identity]

[Image description: A series of posts from Jason Lefkowitz @[email protected] dated Dec 08, 2022, 04:33, reading:

It's good that our finest minds have focused on automating writing and making art, two things human beings do simply because it brings them joy. Meanwhile tens of thousands of people risk their lives every day breaking down ships, a task that nobody is in a particular hurry to automate because those lives are considered cheap https://www.dw.com/en/shipbreaking-recycling-a-ship-is-always-dangerous/a-18155491 (Headline: 'Recycling a ship is always dangerous.' on Deutsche Welle) A world where computers write and make art while human beings break their backs cleaning up toxic messes is the exact opposite of the world I thought I was signing up for when I got into programming

/end image description]

#artificial intelligence #computers #programming #technology #Jason Lefkowitz #Mastodon #labor #transcription #capitalism #corporations #exploitation #class struggle #creativity #humans #safety #survival #vehicles #recycling #generative images #machine learning

[reinforce1]

Understanding ChatGPT and Its Differences From Google Bard!

Understanding ChatGPT and Its Differences From Google Bard!

AI intelligence is taking the world to new heights each day. From automating simple everyday processing to replacing heavy machinery in industries, AI, coupled with various other technologies, has changed the technology landscape. ChatGPT is one of the prime examples of AI revolutionizing the world.

If you are from the IT sector, there is no chance that you haven’t heard of ChatGPT. Since its release in November 2022, it has taken the world by storm. And soon after that, Google took out one of the best pieces of its arsenal, Bard.

So, whether you are aware of these two AI rivals or not, the coming sections will surely be fruitful for you!

What is ChatGPT?

If you don’t know, let’s put some light on ChatGPT.

ChatGPT is an AI-backed chatbot that provides human-like responses against the text inputs provided by the users. Now, some of you may argue how it is different from Jasper, Quillbot, and other similar tools. Well, there are many differences, but one key difference is that it is not connected to the internet. Moreover, it is not linked with any type of external information.

ChatGPT generates responses that are conversational and are generated from the data it has been provided. Hence, making it a language-processing system and not a search engine.

How does ChatGPT generate responses?

To elaborate further, ChatGPT generates human-like text and does not access the internet to do it. How? The process is called pre-training, in which a system is provided with heaps of data, and the system is tuned to establish relationships between words and concepts. This can be further used for translation and summarization.

One doubt some of you might have in your mind, what is the source of information for ChatGPT? The data provided to train ChatGPT includes sources like books, websites, and a number of articles.

With the help of these resources, ChatGPT is capable of generating a plethora of content types, such as

Program and software codes

Social media posts

Cooking recipes

Blogs and articles

Emails drafts

Summaries

Jokes

Law briefs

And much more!

GPT-3 — The Model Behind ChatGPT!

We have been talking about ChatGPT for some time now. Let’s get a bit technical!

GPT in ChatGPT stands for Generative Pre-trained Transformer. ChatGPT is an implementation of GPT-3, which is an exceptional neural network machine learning model. So far, GPT-3 is the most powerful model ever created. Why?

Unlike Microsoft’s Turing Natural Language Generation model, which featured 10 billion parameters, GPT-3 is created with 175 billion parameters that provide it lightning-fast speed to process billions of words per second. Further, ChatGPT excels at understanding the context of the conversation with the help of self-attention mechanisms.

Bard – The Rival to ChatGPT Initiated By Google!

In the last three and half months, ChatGPT has acquired millions of daily active users. If we go by the numbers, by the end of December 2022, it garnered over 57 million users. The number further climbed to 100 million by the end of January 2023.

As most of the online community started calling it the replacement of Google, Google stepped in to defend itself and launched Bard.

Google Bard is an AI chat service that is backed by the revolutionary Google’s LaMDA. Expanded as Language Model for Dialogue Applications, Google LaMDA was unveiled by the tech giant two years ago. Though Google was ahead in the game with its Transformer technology invention, it is not a frontrunner in the AI revolution.

How is Bard Different From ChatGPT?

We know that ChatGPT has set the bets high, and it will be difficult for any tech giant to face it. Google Brad has the capability to match ChatGPT. However, it will take time as Google has just launched Bard with limited capabilities as of now.

Bard vs. ChatGPT — Key Differences

Other than being developed by different tech giants, these AI chatbots can be differentiated based on some points!

Source of information

One of the chief differences between Google Bard and ChatGPT is their source of information. As elaborated in the previous sections, ChatGPT is not connected to the internet but is fed with heaps of data from various sources. It uses AI to fine-tune the data and provide relevant human-like responses to the users.

On the other hand, Google Bard leverages the power of the web to provide all the information.

Quality of information

As the source of information for Google Bard is the web, the quality of information will be good. It will generate responses that will have the latest information, and that information will be fine-tuned and detailed as compared to the standard Google search results.

In contrast, ChatGPT is trained on a limited set of data which means the responses to user queries will only be limited to those data sources. The user may not get the latest information on some queries.

Technology

The third distinguishing feature between the two is the technology used. Google Bard uses LaMDA, which uses the open-source network to comprehend natural language. Moreover, LaMDA is trained to look for patterns between different words and sentences to generate an output.

On the other hand, ChatGPT uses GPT-3, which is a powerful Generative Pre-trained Transformer. It generates human-like responses by deeply analyzing the importance of words and phrases in the input queries. ChatGPT does not need a grammatically correct sentence to provide a response; it can generate an output based on a few words too.

The Future of Chatbots!

As of now, Google is considered late as ChatGPT has covered most of the market. Moreover, Microsoft plans to combine ChatGPT with the Bing search engine, which will be another impediment for Google to overcome. ChatGPT has also launched its premium service at an affordable price. However, Google has announced that AI features will be seen in the Google search engine in the coming time. So the users might get to see refined results.

Conclusion

ChatGPT is one of the best inventions of the 20th century. As people have started calling ChatGPT an alternative to Google search, Google will not stay silent on this. As of now, it has rolled out the most basic, low-power consuming version of Google Bard. However, it is not certain or in any way speculated what the search giant is up to.

If you want to understand these chatbots or want to build one of your own, you can get a quote from Reinforce Global.

#AI #Artificial Intelligence #Artificial Intelligence Technology #Bard #Google Bard #ChatGPT #Chatbot #Website Development Company #Reinforce Global

[sreepadamangaraj]

This video talks about how to use AI to craft your perfect expert positioning book. Using AI to craft your perfect expert positioning book involves several steps. First, you must identify the topics you want to cover in your book. Next, you must find AI-driven tools to help you research these topics and develop your content. You can use AI-driven tools like Natural Language Processing (NLP) to help you analyze the topics and create an outline for your book.

#future of artificial intelligence #artificial intelligence technology #artificial intelligence article #artificial intelligence tutorial #ai tutorial #Youtube

[generalcomputerdetective]

The Future of AI and ML in Digital Transformation

The future of AI and ML in digital transformation is marked by ongoing evolution, and their role in this process is set to expand further. Several noteworthy trends and developments should be closely monitored.

Explainable AI: With the increasing complexity of AI systems, there's a growing demand for "explainable AI." This entails that AI algorithms should be capable of providing clear, understandable explanations for their decisions. This is particularly important in sectors like healthcare and finance, where transparency is paramount.

Edge Computing: The fusion of edge computing with AI facilitates data processing at the source, reducing latency and enabling real-time decision-making. This has profound implications for IoT applications where split-second decisions are crucial.

Enhanced Cybersecurity: AI and ML are playing a pivotal role in strengthening cybersecurity. They can swiftly and effectively detect and respond to threats, helping organizations safeguard their digital assets and customer data.

Aventior, a prominent player in the field of digital transformation, offers a range of capabilities and solutions that are instrumental in helping organizations navigate the evolving landscape:

Industry Expertise: Aventior's specialization spans diverse industries, including healthcare, finance, manufacturing, and retail. This extensive knowledge allows them to tailor AI and ML solutions to meet the specific needs and challenges of each sector.

Comprehensive Solutions: Aventior doesn't offer fragmented solutions; they provide end-to-end digital transformation services. This ensures that clients receive a clear roadmap and the necessary tools to navigate their digital transformation journey.

Customization: Aventior's approach is highly adaptable. They closely collaborate with their clients to grasp their unique requirements and then develop solutions that align with their digital transformation objectives.

Data Integration: Aventior excels in integrating data sources and streamlining data flows, a critical aspect of successful digital transformation. Their expertise in data architecture and data engineering is exceptional.

Scalability and Future-Proofing: In a constantly evolving digital landscape, Aventior ensures that its solutions are scalable and adaptable. This empowers clients to stay ahead of the curve as technology continues to advance.

In a world where digital transformation is not a question of "if" but "when," Aventior stands out as a beacon of expertise and reliability. Their AI and ML-driven solutions have paved the way for numerous businesses to thrive in the digital age.

Regarding Aventior's Unstructured Data Solutions:

Aventior's significant strides in harnessing the potential of AI and ML for digital transformation are evident, particularly in their offerings related to unstructured data solutions, with a specific emphasis on CPV-Auto™ NXG. This solution excels at converting unstructured data into actionable insights, making data-driven decision-making accessible for organizations. Unstructured data, often in the form of documents and text, holds substantial importance in every business. Traditionally, extracting meaning from such data has been a time-consuming and error-prone process. However, Aventior's CPV-Auto™ NXG leverages the capabilities of AI and ML to automatically extract, categorize, and interpret unstructured data, thereby transforming it into a valuable asset for organizations.

#artificial intelligence technology #ai solutions company #ai service providers #cloud based ai services #predictive analytics software #predictive analytics services #machine learning solutions #Digital Transformation Company