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CitrusTech launches its Open Healthcare Artificial Intelligence Model Medictiv

CitrusTech launches its Open Healthcare Artificial Intelligence Model Medictiv

The United States-based healthcare startup CitrusTech launches its new open healthcare artificial intelligence model named Medictiv. It is the world’s first artificial intelligence model directory that provides cross industry collaboration. 

With this new technology, CitrusTech wants to boost the adoption of artificial intelligence and machine learning solutions in the healthcare industry. The platform has more than 250 tested artificial intelligence and machine learning models that can be used by organizations in a plug-and-play manner. 

The models have been carefully handpicked by CitrusTech after intensive research work. The company already has a client base of over 50 deemed healthcare organizations. Medictiv offers artificial intelligence models for various purposes like revenue cycle management in healthcare, medical imaging, denial management, chronic condition management, and clinical natural language processing. 

Read More: Abbott Receives FDA Clearance For its Artificial Intelligence Imaging Technology

President of CitrusTech, Bhaskar Sambasivan, said, “As the demand for viable and proven healthcare AI models grows, Medictiv will deliver significant value to analytics, data science and digital innovation teams that are focused on solving key business challenges – by providing a collaborative ecosystem and helping democratize AI in healthcare.”

He further added that artificial intelligence, machine learning, and predictive analysis would play a vital role in revolutionizing the healthcare sector. CitrusTech was founded in New Jersey by Jagdish Moorjani and Rizwan Koita in 2005. The company specializes in developing artificial intelligence-powered data management and predictive analytics software. It has a workforce of more than 4000 experienced professionals worldwide. CitrusTech is a unicorn company that has a revenue of more than $200 million. 

Vice Senior President of data science at CitrusTech, Shridhar Turaga, said, “Healthcare organizations are struggling with ROI for their AI/ML initiatives, as they often underestimate the cost of data, development, and validation.” 

He also mentioned that organizations could use pre-existing artificial intelligence models to boost research speed and improve the overall return on investment. 

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Abbott Receives FDA Clearance For its Artificial Intelligence Imaging Technology

Abbott Receives FDA Clearance For its Artificial Intelligence Imaging Technology

American healthcare company Abbott receives clearance from the Food and Drug Administration (FDA) for its artificial intelligence imaging technology. The company’s technology is capable of recognizing comprehensive blood flow in coronary arteries and blockages using its optical coherence tomography (OCT) solution. 

The platform is powered by Abbott’s in-house developed software named Ultreon. This platform will significantly help doctors to make accurate decisions while diagnosing and treating patients suffering from several heart diseases. 

Abbott had received the CE Mark approval in Europe earlier this year. With this new clearance, the firm is now set to widely deploy artificial intelligence tools in the healthcare industry to assist physicians at a larger scale. 

Read More: Intel Launches AI for Workforce Program in the United States

Director of the DeMatteis Cardiovascular Institute at St. Francis Hospital and Heart Center in New York, Ziad Ali, said, “Abbott’s new Ultreon Software for OCT provides an automated, comprehensive view of the artery that facilitates physician decision-making. Ultreon Software guides stents to be placed with precision. These types of innovative technologies are instrumental in providing the best care for our patients.” 

The company unveiled its artificial intelligence software at the EuroPCR 2021 event held in France. The software quickly received approval from the Japanese government after the event. 

According to research conducted by Abbott, more than 83% of surveyed physicians believed that new technologies like optical coherence tomography could help improve the quality of treatment for cardiac patients. 

Managing Director and Chief Medical Officer at Abbott’s vascular business said, “As cardiologists continue to adopt OCT and move away from traditional imaging methods such as angiography, emerging technologies are pivotal to determine the best course of patient care.” 

He also mentioned that artificial intelligence enables the company’s software Ultreon to automatically detect calcium deposition and blood vessel diameter, which helps doctors use stents at precisely calculated locations. 

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Intel Launches AI for Workforce Program in the United States

Intel Launches AI for Workforce Program in the United States

Microchip manufacturing giant Intel launches its new AI for Workforce program in the United States. Intel launched this program under its Digital Readiness initiative to train future workers in artificial intelligence. 

Eighteen community colleges across various regions of the country will host the AI for Workforce program. Intel has collaborated with Dell Technologies to design this unique program to teach the future workforce the necessary artificial intelligence and machine learning skills that the industry currently demands. 

According to the company officials, more than 80,000 students would be able to benefit from this program. CEO of Intel, Pat Gelsinger, said, “The next-generation workforce will need skills and training in AI to develop solutions to the world’s greatest challenges, and community colleges play a huge role in unleashing innovative thinking.” 

Read More: Samsung Launches Artificial Intelligence and Machine Learning Lab In Karnataka

He further added that he started his career at a community college where he developed his interest in technology, and that led him to his dream job at Intel. The course would focus on some fundamentals of artificial intelligence and other related aspects like computer vision, data collection, artificial intelligence model training, ethical use of artificial intelligence, natural language processing, social impact, and coding.

It is a 200 hours long comprehensive course designed for students to increase their chances of employment. No prior knowledge of coding is required for participating in this course. The program was first started back in 2019 at Maricopa community college in Arizona and then steadily expanded to other regions like New Mexico, Michigan, and California. 

Vice President and General Manager of Dell Technologies, Jillian Mansolf, said, “Higher education institutions are a catalyst for change by providing expertise and training in emerging fields. By collaborating with Intel, Dell is able to deliver AI learning experiences to these students, helping to prepare the future workforce for impact and success.” 

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Pentagon Develops Artificial Intelligence to Predict Events Days in Advance

Pentagon Develops Artificial Intelligence to Predict Events Days in Advance

The Headquarters building of the United States Department of Defence Pentagon announces that it has developed an artificial intelligence model that can predict world events days in advance.

The Pentagon conducted an advanced research named Global Information Dominance Experiment (GIDE) that used artificial intelligence and cloud computing to predict events in advance. 

With this technology, the United States DoD wants to achieve ‘information dominance’ and ‘decision-making superiority.’ According to the officials, this technology could help the US military and the government plan and carry out its operations much more informedly. 

Read More: University of Washington to Lead NSF for Artificial Intelligence Research

The artificial intelligence system uses satellite images to predict an event by meticulously analyzing the recent activities of different nations. 

Command Leader General, Glen VanHerck, said, “This gives us days of advanced warning and ability to react. Where, in the past, we may not have put eyes on with an analyst of a GEOINT satellite image, now we are doing that within minutes or near real-time. That’s the primary difference that I’m talking about.” 

He further added that the technology gathers information through various sources and uploads it to a cloud server. Artificial intelligence and machine learning systems then analyze the data, the results are then quickly transmitted to the decision-makers allowing them to have decision superiority over the enemies. 

Earlier military strategy analysts would take days to predict a new development, but with this technology, better predictions can be made in a very short time. VanHerck mentioned in a statement that the new technology would soon be available for the United States military to use at a larger scale. 

Experts believe that in the near future, artificial intelligence technologies will play a crucial role in war strategies and decision-making due to the availability of vast amounts of data and data processing systems. 

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University of Washington to Lead NSF for Artificial Intelligence Research

University of Washington to Lead NSF for Artificial Intelligence Research

The National Science Foundation (NFS) announces its plans to conduct research on the use of artificial intelligence for understanding dynamic systems under the leadership of the University of Washington (UW). 

Under the new initiative of NSF, eleven new National Artificial Intelligence Research Institutes will be built across forty states. NSF has already received funding of $220 million for this purpose. 

Earlier this year, NSF had collaborated with Amazon Web Services for its Fairness in Artificial Intelligence Program. 

Read More: NVIDIA Advances Instant AI with North American Availability of Base Command Platform

The research program will focus on the fundamentals of artificial intelligence and machine learning and develop real-time learning applications for controlling complex dynamic systems. 

An associate professor at the University of Washington, Steve Brunton, said, “We literally live and breathe inside of a working fluid, and so do nearly all of our machines. But because of the multiscale complexity of the fluid, which involves a cascade of increasingly smaller eddies, we still have an incredibly hard time predicting what fluids will do outside of idealized and controlled settings.” 

He further added that they want to explore the possibility of training machine learning and artificial intelligence systems that would enable them to learn partially known or unknown physics concepts. 

The collaborative research will develop data-enabled artificial intelligence solutions to tackle several challenges in the field of science and engineering. Apart from research, the collaboration would also train future researchers by providing them the necessary support and assistance. 

They intend to tie up with high schools and offer artificial intelligence projects to educate students and would also actively recruit fresh college graduates from underrepresented regions of the United States to train them.

 An applied mathematics professor at UW, Nathan Kutz, said, “Importantly, we will provide AI ethics training for all involved in the institute. We will also make this training available to the community at large, thus enforcing a disciplined approach to thinking about AI.”

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DesiCrew Scales Up its Artificial Intelligence and Machine Learning Services

DesiCrew Scales Up its Artificial Intelligence and Machine Learning Services

India-based digital ops startup DesiCrew plans to scale up its artificial intelligence and machine learning service in order to expand further. The company was founded in Chennai in the year 2007 by Saloni Malhotra. 

The startup was incubated from the Indian Institute of Technology (IIT) Madras and specializes in providing artificial intelligence and data services. It has received total funding of $1.2 million from investors like VenturEast and responsAbility Investments AG. 

The company plans to increase its workforce from 1000 to 2500 by the year 2025. The company currently provides services like conversational artificial intelligence, end-to-end machine learning platforms, artificial intelligence-powered IT solutions, and intelligent process automation. 

Read More: Samsung Launches Artificial Intelligence and Machine Learning Lab In Karnataka

It also offers various data labeling services like image annotation and knowledge graph development. DesiCrew is now looking forward to new funding as it aims to increase its revenue by 60% to hit the $10 million mark. 

CEO of DesiCrew, J.K. Maninavvan, said, “We focus on both economic and social impact, building prosperity hubs in rural communities. Our two-pronged strategy of upping the ante on high value and high-end tech services and our relentless pursuit of quality is helping us onboard many new customers in the recent months.” 

He further added that the company is on the right track in expanding its operations and increasing the team size by taking advantage of the current pace of digital adoption in the industry. 

The startup has expertise in computer vision, natural language processing, and analytics that will play a pivotal role in its expansion. 
DesiCrew is now rigorously working to capture more market share in the Middle East, North America, Europe, and also grow in the domestic market by closely working with Indian businesses.

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Samsung Launches Artificial Intelligence and Machine Learning Lab In Karnataka

Samsung Launches Artificial Intelligence and Machine Learning Lab In Karnataka

Samsung announces the launch of its new artificial intelligence and machine learning lab at KEL Technological University in Hubballi, Karnataka. The lab will be used by the students and faculty members of KEL university to conduct advanced research on various subjects like data engineering. 

The lab is built upon an area of 3000 sq. ft. and has many modern types of equipment to enable the students to develop solutions for real-world challenges. Expert engineers from Samsung Research and Development center in Bengaluru will train students in developing artificial intelligence systems, mainly for mobile camera technology and speech recognition. 

Managing Director of Samsung R&D center in Bengaluru, Dipesh Shah, said, “India is a repository of young Millennials and Gen Z talent. At Samsung, we envision this lab to become a hub of young minds igniting India’s innovation ecosystem, build capabilities among the students to make them industry-ready, and also promote industry-academia collaboration.” 

Read More: Artificial Intelligence Solutions Failed during COVID-19 Pandemic

He further added that this new move by Samsung proves its commitment towards the initiative #PoweringDigitalIndia. 3rd and 4th-year B.Tech students, M.Tech students, and P.h.D scholars of KEL Technological University will be allowed to conduct collaborative research and publish research papers jointly with SRI-B engineers. 

The research lab is also equipped with systems to store and render vast amounts of data. Samsung will provide certification to the participating students on completion of a research project. Earlier Samsung had conducted intensive research and development tasks in the field of 5G networking, artificial intelligence, and machine learning in India. 

Vice-Chancellor of KEL Technological University, Dr. Ashok Shettar, said, “Today, our world is becoming increasingly data-centric, and along with AI, it continues to transform the way we live, work and do business.” 

He also mentioned that this new initiative of Samsung would give the students good industry exposure and allow them to work with the best engineers on research projects to develop solutions for various challenges.

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NVIDIA Advances Instant AI with North American Availability of Base Command Platform

NVIDIA Advances Instant AI with North American Availability of Base Command Platform

Multinational tech company NVIDIA announces the availability of its artificial intelligence base command platform in North America. This platform will enable businesses to process vast amounts of data using advanced computing infrastructure. 

The base command platform is a hosted artificial intelligence development hub that provides instant access to high-performance computing resources for enterprises. The platform uses NVIDIA DGX SuperPod to deliver the best possible performance through optimized artificial intelligence workflow software. The platform is now available at a monthly subscription in North America and Canada. 

Head of Enterprise Computing at NVIDIA, Manuvir Das, said, “As enterprise AI adoption grows, so does demand for faster access to the world-leading infrastructure offered by NVIDIA and our partners. Base Command Platform makes it easy for enterprises to instantly access the power of an NVIDIA DGX SuperPOD to accelerate the AI and data science development lifecycle.” 

Read More: Google Announces New Tensor Chips For Pixel 6

Businesses will now be able to develop and train models and effectively manage them using NVIDIA’s artificial intelligence platform. The price of the monthly subscription of Base Command Platform starts from $90,000 with a minimum of three months subscription that allows customers to use a maximum of 20 DGX SUperPods. 

The platform also supports NetApp’s services to allow customers access to high-performance storage requirements for accelerated artificial intelligence computing. NVIDIA has also partnered with Equinix to provide the support of more than 220 data centers operated by Equinix for its Base Command Platform. 

Weights & Biases will provide MLOps software that would offer various features like experiment tracking and model visualization for NVIDIA’s platform. CEO of Weights & Biases, Lukas Biewald, said, “Pairing the immediate access to NVIDIA’s DGX SuperPOD AI supercomputing offered by NVIDIA Base Command Platform with Weights & Biases’ MLOps experiment-tracking tools means that AI developers will be able to work with incredible efficiency as they solve complex problems.”

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Google Announces New Tensor Chips For Pixel 6

Google Announces New Tensor Chips For Pixel 6

Tech giant Google announces the launch of its new custom tensor chips with Pixel 6 by the end of 2021. Google has designed an in-house System on Chip (SoC) that uses artificial intelligence and machine learning for its Pixel smartphones. 

The chip will power two upcoming pixel devices, namely Pixel 6 and Pixel 6 pro. The smartphones are expected to be launched in October 2021. The company claims that the custom tensor chip will deliver an unmatched and innovative artificial intelligence experience to its users in many fields like photography and performance. 

In a recent blog, Google mentioned, “Over the years, we introduced features like HDR+ and Night Sight, which used artificial intelligence (AI) to create beautiful images with computational photography.” 

Read More: Artificial Intelligence Solutions Failed during COVID-19 Pandemic

With this new chipset, the firm wants to up-scale the use of artificial intelligence and machine learning to provide the best features to its customers. The company designed the chipset after scrutinizing the way people use smartphones now and how they will use them in the future. 

The Tensor chip will also feature a new security core and Titan M2 to provide maximum security in a smartphone possible till date. The blog mentioned, “With Tensor, we thought about every piece of the chip and customized it to run Google’s computational photography models. For users, this means entirely new features, plus improvements to existing ones.” 

Google has planned to change the rear design of Pixel 6 and Pixel 6 pro with a new camera module to accommodate better and bigger image sensors. The font has been kept similar on both variants of the smartphone. 

Three color options will be available to choose from for both of the devices. The smartphones will come with Android 12 and will use Google’s Material You technology to provide an esthetic user interface. 

This new technology of Google uses mixing color science and advanced engineering to provide better color schemes, immersive animations, and a new design framework.

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Artificial Intelligence Solutions Failed during COVID-19 Pandemic

Artificial Intelligence Solutions Failed during COVID-19 Pandemic

According to a recent report, numerous different artificial intelligence solutions were developed during the COVID-19 pandemic, but they failed miserably in tackling the situation. Healthcare systems across the globe suffered a huge blow when the pandemic broke out. 

Researchers then developed many artificial intelligence and machine learning solutions to aid hospitals diagnose and treat COVID-19 patients. But experts are now claiming that the efforts were in vain as the solutions did not deliver expected results, and also some were found to be harmful. 

An epidemiologist at The Massachusetts University, Laure Wynants, said, “This pandemic was a big test for artificial intelligence and medicine, but I do not think we passed the test. The pandemic has put problems (with artificial intelligence) in the spotlight that we have been dragging along for some time.” 

Read More: Twitter Announces Bug Bounty Program to find Bias in Artificial Intelligence

Before the spread of the Coronavirus in the western world, researchers tried to develop machine learning algorithms that would help doctors to make informed decisions to treat the patients. 

The United Kingdom’s national data science center Turing Institute had earlier published a report that mentioned that artificial intelligence and machine learning solutions made little to no difference in the treatment and prediction of COVID-19 infections. 

Another research conducted by the British Medical Journal examined the accuracy of more than 250 predictive algorithms and concluded that none of them were able to meet the expectations. 

Bullock J, a researcher, said, “Artificial intelligence systems are still at a preliminary stage, and it will take time before the results of such AI measures are visible. Very few of the reviewed artificial intelligence systems have operational maturity at this stage.” 

The artificial intelligence industry is making new discoveries at a very rapid pace that backs the fact that we would be able to build new platforms that generate accurate results to tackle any future outbreaks effectively.

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