Artificial Intelligence Predicts Mortality Rate Using Socioeconomic And Clinical Data

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July 22, 2021

Artificial Intelligence Predicts Mortality Rate Using Socioeconomic And Clinical Data

Scientists have developed a new artificial intelligence platform capable of predicting the mortality rate of cancer patients using socioeconomic and clinical data. According to a government report, more than 600,000 people die every year due to cancer.

This new artificial intelligence-powered technology will help doctors to identify cancer patients at an early stage and will also predict an individual’s chances of dying because of cancer.

The platform is also capable of recognizing patients approaching the end of life (EOL) and recommend them for hospital supervision. The artificial intelligence algorithm was tested using electronic medical records of cancer patients in the United States.

Researchers said, “In contrast, aggressive, life-sustaining EoL care can conflict with patient preference and result in lower quality of life, family perceptions of poorer quality of care, and greater regret about treatment decisions. The earlier referral also represents an opportunity to transform cancer care by reducing the potential for unnecessary, toxic, and expensive treatments at EoL”

The new platform has a much higher accuracy rate of predicting 30-day mortality rate in cancer patients than standard methodologies used by doctors. The researchers conducted this on more than 3000 cancer patients whose data were collected using EMR, billing data, and socioeconomic determinants of care, which includes demographic details and cancer information. Scientists also considered the lifestyle choices of cancer patients while conducting the research.

“Artificial intelligence applications will utilize clinical, sociodemographic, environmental, pathologic, radiological, genetic, genomic and pharmacoepidemiological data for recommending, the treatment with the greatest efficacy and least risk of toxicity, for a patient with cancer as well as offer direction for the best available clinical trial, stratify risk of recurrence and implement prognostic models for a given patient as well as identify the risk of disease within family members.” the researchers said.

Microsoft Acquired A Security Startup CloudKnox

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Dipayan Mitra

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July 22, 2021

Microsoft Acquired A Security Startup CloudKnox

Microsoft, in a recent blog, announced that it had acquired a security startup named CloudKnox. No information has been provided regarding the valuation of the acquisition deal.

The tech giant plans to provide companies top-notch multi-cloud security services along with improving its operating system’s security with this acquisition.

Microsoft will now offer automated remediation of hybrid permissions and granular visibility to its Azure Active Directory customers. Vice President of Microsoft Identity, Joy Chik, said, “As the corporate network perimeter disappears, it’s crucial to establish a strong cloud identity foundation, so you can enforce least privileged access to protect business-critical systems while improving business agility.”

He further mentioned that the company is determined to provide easier access to the least privileged services for all users across the globe. CloudKnox is a California-based startup founded by Balaji Parimi and Rao Cherukuri in the year 2016.

The company specializes in developing multi-could permissions management platforms using activity-based authorization technology. The company has received a total funding of $22.8 million from investors like Wipro Ventures, Dell Technologies Capital, Clearsky, and Telstra Ventures.

The acquisition raised Microsoft’s shares by 0.28% in midday trading. CEO and co-founder of CloudKnox, Balaji Parimi, said, “We saw opportunities to provide even greater value and seamless experience across hybrid and multi-clouds with deeper integrations within the Microsoft ecosystem.”

He also added that this acquisition would allow the company to build better solutions to enable the customers to protect their cloud data and improve their security posture.

Microsoft had earlier acquired similar security firms like RiskQ and ReFirm Labs to enhance its Azure security services. The company currently processes more than eight trillion security signals in a single day with the help of 3500 security-defending employees.

Research Of IIT Kanpur Shows Artificial Intelligence Can Be Used To Predict Outcome Of Court Cases

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Dipayan Mitra

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July 22, 2021

Research Of IIT Kanpur Shows Artificial Intelligence Can Be Used To Predict Outcome Of Court Cases

A recent research conducted by the Indian Institute of Technology (IIT) Kanpur shows the possibility of the usage of artificial intelligence to predict the outcome of court cases.

The autonomous artificial intelligence system would be able to assist judges in coming to a conclusion of a case quickly. The research team was led by Ayush Modi and Arnab Bhattacharya of the institute’s computer science department.

The team has developed an artificial intelligence platform that not only predicts the outcome of cases but also the reason behind judges coming to that conclusion. The artificial intelligence-powered platform was fed more than 35,000 legal documents to train it to generate accurate results.

The research team spokesperson said, “The corpus is created from publicly available data on the proceedings of the Supreme Court. The artificial intelligence-enabled system only intends to assist legal professionals in their research and decision-making and not replace them.”

Researchers claim that this new technology will aid the country’s judiciary to carry out its operations smoothly. Arnab Bhattacharya said that this is India’s first legal corpus for supreme court cases developed for the prediction of court cases.

He added, “The goal of this model is to assist the legal community and not replace judges. He also mentioned that the artificial intelligence model could aid the judicial process and enable judges to make faster decisions that would enable the courts to reduce the burden on the judges.

The county currently has more than 5.75 million pending cases and has only 1.4 judges per 100,000 citizens.

NVIDIA Launched TensorRT8 For Faster Artificial Intelligence Inference

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Dipayan Mitra

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July 21, 2021

NVIDIA Launched TensorRT8 For Faster Artificial Intelligence Inference

NVIDIA has recently announced that it has launched its new TensorRT8 that will enable faster artificial intelligence inference.

The new platform will allow enterprises to build artificial intelligence-powered interactive language applications like search engines and chatbots on cloud. The eighth generation of NIVIDIA’s artificial intelligence software TensorRT8 will be available to all the NVIDIA developers at no extra cost. The new updated software has the capability to reduce latency to 1.2 ms and will also deliver two times more accuracy for INT8 precision with Quantization Aware Training.

NVIDIA’s vice president of developer programs, Greg Estes, said, “Artificial intelligence models are growing exponentially more complex, and worldwide demand is surging for real-time applications that use AI. That makes it imperative for enterprises to deploy state-of-the-art inferencing solutions.”

He further added that the latest version of the software would enable enterprises to develop highly responsive conversational artificial intelligence programs for their customers. NVIDIA’s software is being used by enterprises of various industries like manufacturing, automobile, healthcare, finance, and communication.

NVIDIA has optimized its transformers to enable TensorRT 8.0 to attain best-in-class speed. The company has also introduced a new Graphic Processing Unit architecture called Sparsity that reduces computational operation to increase the speed of neural networks.

Jeff Boudier, product director of Hugging Face, said, “We’re closely collaborating with NVIDIA to deliver the best possible performance for state-of-the-art models on NVIDIA GPUs.” he also mentioned that the company’s accelerated API delivers hundred times speedup for transformer models that use NVIDIA GPUs.
WeChat, one of China’s largest messaging platforms, used NVIDIA’s Tensor platform to develop its search engine that has a user base of more than 500 million users. WeChat officials said that they were able to achieve a reduction of 70% in computational resources using NVIDIA’s artificial intelligence-powered platform.

WeRide Acquired Self-Driving Autonomous Trucking Company MoonX.AI

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Dipayan Mitra

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July 21, 2021

Chinese startup WeRide recently announced that it had acquired an autonomous trucking company named MoonX.AI. With this acquisition, the self-driving vehicle manufacturing company WeRide plans to speed up its research and development process in order to commercialize its product quickly.

The company also wants to expand its presence to different regions of China. There is intense competition in the Chinese autonomous vehicle market as many companies like Pony.ai and AutoX have started testing prototypes on the streets of China.

No official information has been provided regarding the valuation of the acquisition deal. A statement mentioned that the founder and CEO of MoonX.AI, Qingxiong Yang, will be joining WeRide as the Vice President. The Guangzhou-based startup MoonX.AI will bring fifty highly skilled engineers to the WeRides team in order to work on autonomous driving technology.

WeRide is a Guangzhou-based self-driving vehicle developing company founded by Qing Lu, Tony Han, and Yan Li in 2017. It has received total funding of $620 million from investors like Renault, Mitsubishi, Nissan, and Yutong Group.

Two years earlier, the company launched its fully autonomous robot taxi service in China. The taxi service operates within a range of 144 square kilometers in Guangzhou city. Till date, the taxis have served more than 60000 customers and have completed 147,128 trips.

CEO of WeRide, Tony Han, said, “MoonX has a team of talented engineers with substantial experience in autonomous driving technology development and commercialization. The acquisition of MoonX enables us to build an even stronger team and attract the best talents in the industry.”

He further added that MoonX.AI’s expertise would help them develop new autonomous driving products. After the acquisition, the market value of WeRide has increased to $3.3 billion.

Mobileye Starts Testing Autonomous Driving Vehicles In New York City

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Dipayan Mitra

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July 21, 2021

Mobileye Starts Testing Autonomous Driving Vehicles In New York City

Mobileye has recently announced that it has started to test its vision-based autonomous driving vehicles in New York, United States. Mobileye became the first company to receive a permit from the US government to test autonomous cars in New York.

The heavy traffic of the city is helping Mobileye’s artificial intelligence-powered vision-based platform to learn and improve its algorithms from human drivers. States like California had issued permission to numerous companies to test self-driving vehicles, but New York has strict rules regarding car testing.

President and CEO of Mobileye, Prof. Amnon Shashua, said, “Driving in complex urban areas such as New York City is a crucial step in vetting the capabilities of an autonomous system and moving the industry closer to commercial readiness.”

Mobileye is a subsidiary of Intel based in Jerusalem that specializes in developing artificial intelligence-powered diver assistance solutions and manufacturing self-driving cars. It was founded by Shashua in 1999 and has an annual revenue of more than $1 billion.

In a media event, Shashua mentioned that they are progressing rapidly towards the commercial deployment of autonomous vehicles. The company’s autonomous vehicle uses advanced vision systems to drive through highly congested areas.

The cars are also equipped with LIDAR and Radar systems to ensure a multi-level safety of passengers. According to the company’s press release, its self-driving prototype can analyze the behavior of pedestrians to make informed decisions regarding its movements.

The vehicle is also capable of double parking from taking clues from other road users. The company has released a forty-two minutes long video of its autonomous vehicle prototypes driving in New York city during both day and night time. The video shows that the vehicle is capable of operating in challenging weather conditions like heavy rainfall.

OpenAI Shuts Down Its Robotics Team Due To Lack Of Data

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Dipayan Mitra

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July 21, 2021

OpenAI Shuts Down Its Robotics Team Due To Lack Of Data

The San Francisco-based artificial intelligence startup OpenAI recently announced that it had to shut down its robotics team as they face severe unavailability of usable data.

Co-founder of OpenAI Wojciech Zaremba said in a statement that the company no longer plans to carry out research on integrating machine learning into physical machines but would now focus on other aspects of artificial intelligence.

He said, “I was actually working for several years on robotics. Recently, we changed the focus at OpenAI. I disbanded the robotics team.” The artificial intelligence firm thought that it would be able to achieve breakthroughs in artificial general learning through self-generated data, but unfortunately, the plan didn’t work out.

OpenAI now plans to work on other related domains, which have adequate available data. After successfully completing the Rubik’s cube project for reinforcement learning, the tech-enterprise has decided to stop conducting robotic research and focus on reinforcement learning through human feedback.

OpenAI shuts down robotics team because it doesn't have enough data yet https://t.co/vZlL1svR1f #ai #ArtificialIntelligence #MachineLearning #DeepLearning #openai #robotics pic.twitter.com/vkAbXf4G2g
— Nige Willson (@nigewillson) July 19, 2021

They believe it is a faster and better way to bring advancement in the artificial intelligence sector. Zaremba also said, “The sad thing is if we were a robotics company, the mission of the company would be different, and I think we would continue. I believe quite strongly in the approach that the robotics team took and the direction.”

The startup’s robotics team could not make much progress towards OpenAI’s primary goal of developing artificial general intelligence (AGI). OpenAI was founded by Elon Musk, Sam Altman, Ilya Sutskever, and Wojciech Zaremba in 2015.

The startup is considered to be a competitor of Alphabet’s DeepMind and specializes in conducting research in the field of artificial intelligence to develop solutions that would benefit society as a whole.

Earlier this year, the company’s CEO, Sam Altman, announced that OpenAI had released a $100 million fund for startups.

Artificial Intelligence Can Now Be Used To Convert Brain Waves Into Text

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Dipayan Mitra

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July 21, 2021

Artificial Intelligence Can Now Be Used To Convert Brain Waves Into Text

Researchers have recently developed an artificial intelligence-powered solution capable of covering brain waves into text. According to the New England Journal of Medicine, the research was conducted at the University of California, where a paralyzed man’s brain waves were analyzed and were translated into text, enabling the man to communicate with others.

This new groundbreaking artificial intelligence technology will enable individuals who have complete body paralysis to interact with everyone. Edward Chang, a senior author, said, “To our knowledge, this is the first successful demonstration of direct decoding of full words from the brain activity of someone who is paralyzed and cannot speak.”

He also mentioned that this study would help scientists restore communication using the human brain’s natural speech machinery. Researchers used a neuroprosthetic device to check whether the paralyzed individual had an active neural activity in parts of his brain that process speech.

The person lost his ability to speak in 2003 after a severe car accident that left him paralyzed. Scientists analyzed the participant’s brain waves when asked to respond to certain words for a period of four months before developing their new solution.

Once the data was analyzed, it was fed to a custom software that would generate text by capturing real-time brain waves. Researchers used thirty-two NVIDIA’s V100 Tensor core GPUs and TensorFlow framework to develop and fine-tune the technology.

Sean Metzger, a member of the research team, said, “Utilizing neural networks was essential to getting the classification and detection performance we did, and our final product was the result of lots of experimentation. Because our dataset was constantly evolving and growing, being able to adapt the models we were using was critical. The GPUs helped us make changes, monitor progress, and understand our dataset.” The software is capable of generating 18 words per minute with an accuracy of 93% and a median rate of 75%

US Department Of Defense Is Racing Against China To Stay Ahead In Artificial Intelligence

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Dipayan Mitra

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July 20, 2021

US Department Of Defense Is Racing Against China To Stay Ahead In Artificial Intelligence

The U.S. Department of Defence (DoD) is currently racing against China to maintain its lead in artificial intelligence applications. Recently China has ramped up its war technologies with intensive integration of artificial intelligence in modern combat weapons.

Considering the situation, the Pentagon wants to come up with an effective plan to counter China and maintain its supremacy over artificial intelligence-driven technological advancements.

Earlier this year, the DoD’s China task force had suggested numerous internal and structural changes to eliminate any potential threat from China. Co-founder of the In-Q-Tel division of the CIA, Gilman Louie, said that China would definitely surpass the United States if the government doesn’t take any measures as the country lacks a robust national strategy for artificial intelligence.

He also added, “Artificial intelligence is going to be not just a driver of things like the economy and quality of life and national security. It will be the thing that nation-states are going to want to make sure that they are in control of—and competitive space for the two largest powers in the world.”

The National Defence Magazine mentioned in a report that the Chinese government views artificial intelligence as the key to surpassing the United State’s military power, and the People’s Liberation Army (PLA) is making considerable progress. China has already expressed its motive of becoming the world leader in technology by 2030.

The U.S. Defence Secretary Lloyd Austin said, “It’s a capability that this department urgently needs to develop even further. Artificial intelligence is central to our innovation agenda, helping us to compute faster, share better and leverage other platforms. That’s fundamental to the fights of the future.”

He further mentioned that the country’s use of artificial intelligence must reinforce the citizens’ democratic values, protect rights, defend privacy, and ensure safety.

Julia Computing Raised $24 Million In Series A Funding

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Dipayan Mitra

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July 20, 2021

Julia Computing Raised $24 Million In Series A Funding

Julia Computing recently announced that it had raised $24 Million in its series A funding round led by Dorilton Ventures. Menlo Ventures, Highsage Ventures, and General Catalyst also participated in the funding round.

The Boston-based startup plans to use this fresh funding to expand and further improve its cloud computing platform named JuliaHub. The enterprise was founded in 2015 by the developers of Julia high-performance programming language.

Many enterprises use the language to overcome data processing challenges across the world. The startup’s CEO and co-founder, Viral Shah, said, “Technical computing is stuck in a rut today. Data scientists and engineers are using products that were designed many decades ago.”

Apart from JuliaHub, the company is also developing many other solutions like JuliaSim and JuliaSpice to provide multi-physics and circuit simulation services. Julia had also collaborated with sports equipment manufacturing giant Puma to build an artificial intelligence-powered platform called Pumas for pharmaceutical simulations.

In a statement, company officials mentioned that the former chief of software provider at Snowflake and Microsoft’s former president of tools and servers, Bob Muglia, will be joining Julia Computing as a member of its board of directors.

The company has a massive client base of more than 1000 companies, including industry leaders like NASA, AstraZeneca, Pfizer, Moderna, Intel, Google, and Microsoft.

Bob Muglia said, “The Julia Computing team has rocked this world by building JuliaHub, a modern platform for technical and scientific modeling. JuliaHub is poised to advance scientific computing and enable solutions that will deliver new generations of products and services that we cannot even imagine today.”

Julia Computing is now hiring engineers to work on its solutions. Interested candidates can visit Julia’s official website to submit job applications.