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View MoreBusiness Workflow Automation: Overcoming Integration Challenges
When businesses successfully navigate the integration challenges, the benefits are substantial. Enhanced efficiency, reduced operational costs, and improved decision-making capabilities are just a few of the advantages.
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Business Workflow Automation: Overcoming Integration Challenges
By embracing APIs, standardizing data formats, implementing integration platforms, adopting microservices architecture, and continuously testing and monitoring systems, organizations can overcome integration challenges and maximize the benefits of business workflow automation.
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By implementing robust access controls, continuous monitoring, data encryption, regular security training, and vulnerability assessments, organizations can safeguard their automated workflows from cyber threats.
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Machine learning algorithms play a crucial role in identifying and correlating data points from different systems. These algorithms can detect patterns and relationships between disparate data sets, enabling seamless integration.
Advanced technologies such as AI, ML, and cloud-based solutions are transforming the webinar landscape, offering new ways to enhance technical stability and performance.
Artificial intelligence offers advanced solutions for enhancing data governance in customer data platforms.
By leveraging advanced technologies such as natural language processing, personalized interfaces, and real-time translation, AI can provide a comprehensive and user-friendly solution that ensures all users can benefit from advanced security features.
Machine learning algorithms can analyze data from various sources, identify relationships and correlations, and create a unified dataset.
By addressing resistance to change, bridging the skills gap, and alleviating fears of job displacement, organizations can create a conducive environment for automation
AI reduces the time and effort required for manual system integration, ensuring that workflows operate smoothly across diverse environments.
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IBM gets lift from software, AI demand as consulting slips Reuters
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We made a cat drink a beer with Runway’s AI video generator, and it sprouted hands Ars Technica
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Apple Stock Seen Rising On AI Replacement Cycle Investor's Business Daily
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Microsoft is adding AI-powered summaries to Bing search results Engadget
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AI Fever Cools, Sending Nasdaq 100 Into $1 Trillion Tailspin Bloomberg
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IBM beats quarterly revenue estimates on software strength, AI demand Yahoo Finance
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Alphabet falls as margin fears, YouTube slowdown eclipse AI boost Reuters
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Dental-Care AI Startup Pearl Raises $58 Million PYMNTS.com
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Big Tech says AI is booming. Wall Street is starting to see a bubble. The Washington Post
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Stocks Get Hit as ‘AI Trade’ Slams Into a Wall: Markets Wrap Yahoo Finance
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AOC’s Deepfake AI Porn Bill Unanimously Passes the Senate Rolling Stone
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Google stock is sinking because of high AI spending and sluggish YouTube performance Quartz
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Tesla shares plunged on weak earnings. But a top analyst says AI investments will lead to a $1 trillion-plus valuation Fortune
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China's tiny 'Golden Toad' rover used AI to take an epic photo on the moon's far side (video) Space.com
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Opinion | How Long Will A.I.’s ‘Slop’ Era Last? The New York Times
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UN Attempts AI Power Grab. The West is Unhappy Center for European Policy Analysis
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Activision Blizzard is reportedly already making games with AI, and quietly sold an AI-generated microtransaction in Call of Duty: Modern Warfare 3 Gamesradar
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Elon Musk claims he is training “the world’s most powerful AI by every metric” Ars Technica
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AI’s Real Hallucination Problem The Atlantic
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Ramon.Space creates UK space computing engineering hub
Ramon.Space is setting up an engineering hub in the United Kingdom to help grow its space computing technology business globally, the California-based company announced July 16. The post Ramon.Space creates UK space computing engineering hub appeared first on SpaceNews.
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NASA’s CAPSTONE is testing “Autopilot” software suite for cislunar operations
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U.S. military to award $3 billion contract for AI-driven intelligence
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Microsoft leads $40 million funding for Starlink networking startup
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Sift raises $17.5M in Series A round
Southern California startup Sift raised $17.5 million in a Series A funding round led by Google Ventures. The post Sift raises $17.5M in Series A round appeared first on SpaceNews.
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Starlab Space adds Palantir as strategic partner on commercial space station effort
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AI transforming satellite imaging industry ‘but it’s not magic’
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AI powering commercial insights into the final frontier
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HPE’s Spaceborne Computer offers template for space-based AI
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AI startup Wallaroo tapped to help Space Force operationalize machine learning
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LEOcloud to send Space Edge datacenter to ISS
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Colossus processor gains flight heritage
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Bringing generative artificial intelligence to space
Amazon Web Services is busy positioning its cloud infrastructure business to capitalize on the promise of generative artificial intelligence for transforming space and other industries. The post Bringing generative artificial intelligence to space appeared first on SpaceNews.
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Stanford center focuses on spacecraft autonomy
The Center for AEroSpace Autonomy Research (CAESAR) at Stanford University held a kickoff event May 22 to highlight the industry, academia and government collaboration it seeks to foster. The post Stanford center focuses on spacecraft autonomy appeared first on SpaceNews.
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Webinar Replay – Space Loves AI: How AI promises to transform space operations
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Geospatial intelligence gets smart
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‘People are going to try to steal your secrets’ Dixon warns
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LeoLabs zeroes in on anomalies in satellite operations
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Planet unveils platform to merge data with analytics
The Planet Insights Platform is designed to help government and commercial customers rapidly analyze, stream and distribute data. The post Planet unveils platform to merge data with analytics appeared first on SpaceNews.
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Spacebilt and Phison to send powerful data server to ISS
Spacebilt announced an agreement April 8 with Phison to qualify a powerful data server on the International Space Station. The post Spacebilt and Phison to send powerful data server to ISS appeared first on SpaceNews.
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AI at the crossroads of cybersecurity, space and national security in the digital age
Though the implementation of AI into the space industry will bring many benefits, it will also introduce cybersecurity risks. The post AI at the crossroads of cybersecurity, space and national security in the digital age appeared first on SpaceNews.
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Loft Orbital and SkyServe partner on AI-powered Earth observation application
Loft Orbital is partnering with SkyServe to leverage Earth observation and edge computing capabilities on a newly launched satellite. The post Loft Orbital and SkyServe partner on AI-powered Earth observation application appeared first on SpaceNews.
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Space loves AI, AI doesn’t love Space
Operators are developing creative solutions for putting AI on satellites, a challenge that comes with myriad technical and logistical obstacles. The post Space loves AI, AI doesn’t love Space appeared first on SpaceNews.
- Research team designs biomimetic vision system based on praying mantis eyes
Self-driving cars occasionally crash because their visual systems can't always process static or slow-moving objects in 3D space. In that regard, they're like the monocular vision of many insects, whose compound eyes provide great motion-tracking and a wide field of view but poor depth perception.
- Ensuring safety and fairness in artificial intelligence
Many decisions that were previously made by humans will be left to machines in the future. But can we really rely on the decisions made by artificial intelligence? In sensitive areas, people would like a guarantee that the decision is actually sensible, or at least that certain serious errors have been ruled out.
- FraudGPT and other malicious AIs are the new frontier of online threats. What can we do?
The internet, a vast and indispensable resource for modern society, has a darker side where malicious activities thrive.
- Social robot or digital avatar, users interact with this AI technology as if it's real
Humans are interacting more than ever with artificial intelligence (AI)—from the development of the first "social robots" (a robot with a physical body programmed to interact and engage with humans) like Kismet in the 1990s to smart speakers such as Amazon's Alexa.
- Study: When allocating scarce resources with AI, randomization can improve fairness
Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen resumes to choose job interview candidates or aid hospitals in ranking kidney transplant patients based on their likelihood of survival.
- New learning-based method trains robots to reliably pick up and place objects
Most robotic systems developed to date can either tackle a specific task with high precision or complete a range of simpler tasks with low precision. For instance, some industrial robots can complete specific manufacturing tasks very well but cannot easily adapt to new tasks. On the other hand, flexible robots designed to handle a variety of objects often lack the accuracy necessary to be deployed in practical settings.
- Scientists use machine learning to explore effects of cushion gases on underground hydrogen storage
Los Alamos National Laboratory scientists are developing powerful machine learning models—an application of artificial intelligence—to simulate underground hydrogen storage operations under various cushion gas scenarios. This will play a vital role in the low-carbon economy of the future.
- Multimodal agent can iteratively design experiments to better understand various components of AI systems
As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, understanding how they work under the hood is critical. Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science behind intelligence itself.
- An academic publisher has struck an AI data deal with Microsoft—without their authors' knowledge
In May, a multibillion-dollar UK-based multinational called Informa announced in a trading update that it had signed a deal with Microsoft involving "access to advanced learning content and data, and a partnership to explore AI expert applications." Informa is the parent company of Taylor & Francis, which publishes a wide range of academic and technical books and journals, so the data in question may include the content of these books and journals.
- Novel approach improves automatic software repair by generating test cases
IMDEA Software researchers Facundo Molina, Juan Manuel Copia and Alessandra Gorla present FIXCHECK, a novel approach to improve patch fix analysis that combines static analysis, randomized testing and large language models.
- AI study reveals dramatic reasoning breakdown in large language models
Even the best AI large language models (LLMs) fail dramatically when it comes to simple logical questions. This is the conclusion of researchers from the Jülich Supercomputing Center (JSC), the School of Electrical and Electronic Engineering at the University of Bristol and the LAION AI laboratory.
- Lightweight neural network enables realistic rendering of woven fabrics in real-time
Recent advances in the field of artificial intelligence (AI) and computing have enabled the development of new tools for creating highly realistic media, virtual reality (VR) environments and video games. Many of these tools are now widely used by graphics designers, animated film creators and videogame developers worldwide.
- Large language models don't behave like people, even though we may expect them to
One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be applied. The same machine-learning model that can help a graduate student draft an email could also aid a clinician in diagnosing cancer.
- AI industry is influencing the world. Mozilla adviser Abeba Birhane is challenging its core values
"Scaling up" is a catchphrase in the artificial intelligence industry as tech companies rush to improve their AI systems with ever-bigger sets of internet data.
- Automated mobility: Europe's future is about to become reality
Even the coronavirus pandemic could not stop this ambitious project: What began as AVENUE (Autonomous Vehicles to Evolve to a New Urban Experience) has developed into a milestone for the future of European mobility.
- Study showcases new method for better grouping in data analysis
Researchers at Carnegie Mellon University and UC Berkeley have developed a new method to improve how computers organize and analyze large datasets. This advancement improves the ability to extract information from knowledge graphs, impacting the ability to analyze social networks and customer behavior.
- Scientists use AI to predict a wildfire's next move
Researchers at USC have developed a new method to accurately predict wildfire spread. By combining satellite imagery and artificial intelligence, their model offers a potential breakthrough in wildfire management and emergency response.
- Why does the Olympics have an 'AI agenda' and what does it mean for the future of sport?
The 2024 Summer Olympics, kicking off in Paris on July 26, will be novel for more than just the first inclusion of breakdancing. The event will also be the first installment of the quadrennial sportsfest since the International Olympic Committee (IOC) unveiled its Olympic AI Agenda.
- Researchers develop framework to merge AI and human intelligence for process safety
Artificial intelligence (AI) has grown rapidly in the last few years, and with that increase, industries have been able to automate and improve their efficiency in operations.
- Can consciousness exist in a computer simulation?
Would it be desirable for artificial intelligence to develop consciousness? Not really, for a variety of reasons, according to Dr. Wanja Wiese from the Institute of Philosophy II at Ruhr University Bochum, Germany.
- Enhancing adaptive radar with AI and an enormous open-source dataset
The world around us is constantly being flash photographed by adaptive radar systems. From salt flats to mountains and everything in between, adaptive radar is used to detect, locate and track moving objects. Just because human eyes can't see these ultra-high frequency (UHF) ranges doesn't mean they're not taking pictures.
- Study says blockchain could help combat AI misinformation
Two Master of Accounting students in the UO's Lundquist College of Business are shaking up the academic publishing world with a new paper on a timely topic: artificial intelligence and blockchain.
- Neural network learns to build maps using Minecraft
Imagine you are in the middle of an unknown town. Even if your surroundings are initially unfamiliar, you can explore around and eventually create a mental map of your environment—where the buildings, streets, signs, and so on are in relation to one another. This ability to construct spatial maps in the brain is the basis of even more advanced types of cognition in humans: For example, it is theorized that language is encoded in a map-like structure in the brain.
- New framework allows robots to learn via online human demonstration videos
To be successfully deployed in real-world settings, robots should be capable of reliably completing various everyday tasks, ranging from household chores to industrial processes. Some of the tasks they could complete entail manipulating fabrics, for instance when folding clothes to put them in a wardrobe or helping older adults with mobility impairments to knot their ties before a social event.
- Machine learning unlocks secrets to advanced alloys
The concept of short-range order (SRO)—the arrangement of atoms over small distances—in metallic alloys has been underexplored in materials science and engineering. But the past decade has seen renewed interest in quantifying it, since decoding SRO is a crucial step toward developing tailored high-performing alloys, such as stronger or heat-resistant materials.
- Engineers develop OptoGPT for improving solar cells, smart windows, telescopes and more
Solar cell, telescope and other optical component manufacturers may be able to design better devices more quickly with AI. OptoGPT, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to the material structure that can provide them. The paper is published in the journal Opto-Electronic Advances.
- Free 3D-printing datasets enable analysis, confidence in printed parts
The Department of Energy's Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.
- Artists are taking things into their own hands to protect their work from generative AI
The oil painting depicts a woman standing on a podium, her arm aloft as she grasps a laurel crown in her hand. A scarlet cloak drapes across her chest as she stares at the viewer. To the naked eye, the painting looks like a normal piece in an online portfolio. But the version of the painting uploaded online belies a hidden defense system—a tool called Glaze that masks the artist's style and cloaks the art from use by generative AI.
- Artificial intelligence meets cartography: Mapping tools can create satellite images from text prompts
Most people interact with maps regularly, for example, when they're trying to get from point A to point B, track the weather or plan a trip. But beyond those daily activities, maps are also increasingly being combined with artificial intelligence to create powerful tools for urban modeling, navigation systems, natural hazard forecasting and response, climate change monitoring, virtual habitat modeling and other kinds of surveillance.
- Study: Large language models are biased, but can still help analyze complex data
In a pilot study, posted to the arXiv preprint server, researchers have found evidence that large language models (LLMs) have the ability to analyze controversial topics such as the Australian Robodebt scandal in similar ways to humans—and sometimes exhibit similar biases.