According to the latest report published by Advancing Earth and Space Science, researchers from the Stanford Woods Institute of Environment are now using artificial intelligence to unlock and understand extreme weather mysteries.
The researchers have developed an artificial intelligence and machine learning tool that allows them to accurately predict the chances of heavy rainfall in the mid-western region of the United States by analyzing atmospheric circulation patterns.
The researchers used deep learning visualization technology and machine learning tools to generate insights into the causes and predictions of potential future natural disasters. This tool could be very useful to take precautionary measures during precipitation as the region accounts for more than 50% of major flood disasters in the United States.
It is the world’s first technology that can predict and analyze the root cause of long-term climatic changes using artificial intelligence. Frances Davenport, a P.h.D student in Earth system science in Stanford’s school of earth, energy, and environmental science, said, “Our goal was to understand why extreme precipitation is increasing, which in turn could lead to better predictions about future flooding.”
Experts believe that global warming is causing heavier rainfall and snowfall by creating a warmer atmosphere that can retain more moisture. “The algorithm we use correctly identifies more than 90% of the extreme precipitation days, which is higher than the traditional statistical methods that we tested,” said Davenport.
The new technology will enable decision-makers and communities to prepare themselves for high-impact conditions and make informed decisions.
Researchers used publicly available climate data from the past decade and fed it to an artificial intelligence model. The model then analyzed the data and generated predictions of large-scale atmospheric circulation patterns that cause severe precipitation.
In the future, the team plans to increase its service area and deploy the model in various parts of the world.
Artificial intelligence research and development company OpenAI launches its new Codex neural network system that can write software and perform various data science operations in response to text prompts.
This new network will enable professional programmers to increase their work speed and allow individuals to get started with coding. Participants of OpenAI’s private beta program will be able to use Codex through an application programming interface (API).
This platform will also power GitHub Copilot that the company designed earlier in collaboration with GitHub. The company is now inviting businesses to develop artificial intelligence models using the OpenAI Codex platform.
A blog published on the company’s official website mentioned, “Once a programmer knows what to build, the act of writing code can be thought of as (1) breaking a problem down into simpler problems, and (2) mapping those simple problems to existing code (libraries, APIs, or functions) that already exist.”
OpenAI Codex has a qualitatively new capability — it can write code with sufficient accuracy that users can direct their computer in natural language.
It also added that the second step is the most tedious part of coding, and OpenAI Codex excels the most is mapping problems in existing codes. Codex can perform at its fullest potential while used in Python. Nonetheless, it supports other languages like JavaScript, Go, PHP, Pearl, Ruby, Swift, Shell, and TypeScript.
Codex has a memory of 14kb for Python code that allows it to process vast amounts of contextual data while carrying out its operations. Co-founder of OpenAI, Wojciech Zaremba, said, “We think Codex is bringing computers closer to humans, letting them speak English rather than machine code.”
The firm announced that the platform will be available for free in the initial stage, and businesses can now join its waitlist from the company’s official website. OpenAI plans to improve its platform to enable it to automate a larger number of artificial intelligence tasks.
Artificial intelligence applications developing company Snorkel AI raises $85 million in its series C funding round led by Addition. Other investors like Greylock, Lightspeed Venture Partners, GV, Nepenthe Capital, and Walden also participated in the funding round.
The fresh funds have increased Snorkel AI’s market valuation to over $1 billion. The company wishes to work closely with its investors to bring its vision of data-centric artificial intelligence to the industry.
Co-founder and CEO of Snorkel AI, Alex Ratner, said, “We’re incredibly excited by the value Snorkel Flow has driven for our enterprise customers by enabling them to adopt a programmatic, data-centric approach to AI, taking projects previously blocked on the data to production value in days.”
He further added that this new funding would enable them to accelerate their product development and build solutions for different industries. San Francisco-based artificial intelligence startup Snorkel was founded by Alex Ranter, Braden Hancock, Chris Re, Henry Ehrengerg, and Paroma Varma in the year 2019.
It specializes in developing data labeling platforms that use programmatic labeling technology. Its platform, named Snorkel Flow, enables scientists to develop artificial intelligence models by reducing the cost and time consumed in the data labeling and training process. Snorkel has raised a total funding of $135.3 million till date. Many global leaders like Google, IBM, Intel, and Apple use the platform provided by Snorkel.
Founder of Addition, Lee Filex, said, “By putting data at the center of the process, Snorkel AI is transforming how AI is developed. Businesses are starting to understand that, when it comes to AI projects, data very often make the difference between success or failure.”
He also mentioned that Snorkel is currently the market leader in the field of data labeling and is capable enough of helping new businesses realize the advantages of modern artificial intelligence technologies.
A new artificial intelligence tool is now helping researchers forecast the possible deforestation of the Amazon rainforest. The tool named PrevisIA recently analyzed images sent to it by the European Space Agency satellites and predicted that more than 10,000 square kilometers of forest land is at high risk of being deforested in the years to come.
The software was developed by the Brazilian conservation nonprofit organization Imazon, which was established to conserve the Amazon rainforest. The platform uses artificial intelligence algorithms to scrutinize the images to predict the future desertification of the forest accurately.
Carlos Souza Jr, a researcher at Imazon, said, “The states have the opportunity to become environmental protagonists. Deforestation does not bring any advantages, even financially; buyers of agricultural products are starting to boycott Brazil due to deforestation.”
He further added that now people should start understanding that it is more profitable to have forests standing. According to a report, an area with a radius of 5.5 kilometers accounts for more than 95% of deforestation in the Amazon rainforest. It also mentioned 192 municipalities in the region have high risks of being deforested.
Imazon is now planning to collaborate with Microsoft and a Brazilian mining company Vela and government institutions to take actions that could prevent further deforestation in the region. According to Souza Jr, civil society organizations and corporations will also play a vital role in stopping the cutting of trees.
President of Microsoft Brazil, Tania Consentino, said, “The solution for the environmental issues requires a coordinated action, not only from the government but together with corporations, nonprofits, and society as a whole. The planet is in a hurry, so should we.”
Officials from Vela said that their company is directly protecting over 10,000 square kilometers of forest area, and they want to increase it to 15,000 square kilometers in the future.
Healthtech company BUDDI AI launches the world’s first end-to-end artificial intelligence-powered Revenue Cycle Management (RCM) platform. This new platform, named Practice.AI, uses a healthcare contextual lake that simplifies the RCM operations like coding, denial management, documentation, and billing and optimizes the workflow.
This platform has simplified the complex tasks involved in the healthcare revenue cycle management process. The technology will reduce the workload on employees and enable them to focus more on value-based care.
Practice.AI is entirely customizable according to the client’s needs and can easily be integrated with the existing workflow. With features like drag and drop workflow, Practice.AI provides a very user-friendly experience to the client.
Co-founder and CEO of BUDDI AI, Ram Swaminathan, said, “Until now, the healthcare RCM industry has been largely stuck in a cycle of management—managing claims, denials, and appeals as well as patients, providers, and payers. With Practice.AI, we’re disrupting that pattern and giving healthcare workers an improved, automated, and truly intelligent RCM experience to go beyond management to actively predicting, preventing, and solving your most pressing healthcare challenges.”
Swaminathan also mentioned various features of Practice.AI, which includes smart patient registration, medical coding automation, denial prediction and prevention, claims automation, artificial intelligence-powered denial root cause analysis, web-based patient portal, payer contract management, and prior authorization identification.
Interested individuals can request a demo session through the official website of the company.
BUDDI AI is a New York-based healthcare technology company founded by Ram Swaminathan in the year 2005. Since its establishment, the firm had meticulously worked towards automating the RCM process. Currently, the company automates more than 2.6 million medical records every month.
Crypto-enables financial service providing firm CoinDCX becomes India’s first crypto unicorn company soon after raising $90 million in its series C funding round led by B Capital Group. This new funding had increased CoinDCX’s market valuation to $1.1 billion.
Other investors like Coinbase Ventures, Block.one, Jump Capital, and Polychain also participated in the funding round. The company spoke about the plans for its future projects that it says would be revealed soon through its newsletters and blog.
CoinDCX will also use this fund to expand its workforce to 400 by the end of this year. The co-founder and CEO of CoinDCX, Sumit Gupta, said, “I am pretty sure the industry will be regulated at the right time. We have chosen to put at stake our money and career as we feel this is going to be a very good wealth generation opportunity for people.”
CoinDCX is a Mumbai-based crypto-financial startup founded by Neeraj Khandelwal and Sumit Gupta in the year 2017. The firm specializes in developing cryptocurrency trading applications. The company provides a secure platform with a powerful wallet to enable its users to trade in a seamless, reliable, and effortless manner.
According to the officials, CoinDCX has more than 3.5 million users, and it plans to increase its user base to 50 million in the coming years. Gupta said that India has a technology-savvy population and can produce more than 100 crypto unicorn startups in a few years, leveraging the Indian talent pool of engineers to drive innovations in the blockchain technology sector.
CoinDCX also has plans for collaborating with other fintech startups to expand the crypto investor base and work closely with the government of India to introduce regulatory guidelines for crypto investments.
A team of researchers from the Worcester Polytechnic Institute (WPI) at Massachusetts is now developing an artificial intelligence solution named ASSISTments for providing homework feedback for students.
The platform will help teachers to automate the process of sending individual feedback to every student. The researchers have used neural networks that can analyze vast amounts of data to develop this platform over the past three years.
ASSISTments currently can provide feedback for written mathematical assignments that can be created using its website for free. According to the officials, the platform is being used by more than 500,000 students and 20,000 teachers in over 20 countries across the world.
The unique platform is capable of displaying relevant comments to the teachers that they can leave for the students while assessing their assignments. Natural language processing and machine learning are the key technologies used by the researchers for developing this new feature named ‘dubbed Quick Comments.’
Neil Heffernan, the lead researcher of the project, said, “We built ASSISTments more than fifteen years ago as a simple platform to help teachers deliver feedback to their students, and are so proud of its recent growth into new classrooms across the country.”
He further added that the feature focuses on written-answer mathematics problems as it is not just about correcting the answer but to suggest comments in an informed manner after a thorough analysis of the assignment.
The research recently received a grant of $8 million from the United States Department of Education, Innovation, and Research. With the new funds, Heffernan firmly believes that they would be able to continue their research works and add new enhanced features to the ASSISTments platform in the future.
“We’re not good at all types of responses, but we’re very good at when the child gives an answer that’s very good or really poor,” said Heffernan.
Researchers from Google’s Quantum AI team, in collaboration with physicists at Stanford, Princeton, and other universities, announced using Google’s Sycamore quantum computer to demonstrate a genuine ‘time crystal’ for the first time. The researchers revealed the discovery of “time crystals” in a preprint on the arXiv website titled “Observation of Time-Crystalline Eigenstate Order on a Quantum Processor,” which has yet to be peer-reviewed.
A time crystal is an object made of a novel phase of matter that moves in a regular, repeating cycle indefinitely and without consuming any energy. Time crystals are stable, yet the atoms that make them up are continually changing, unlike other phases of matter that are in thermal equilibrium. The study co-author and Max Planck Institute for the Physics of Complex Systems director Roderich Moessner, exclaims that this defies the second law of thermodynamics, which states that systems naturally tend to settle in a state known as “maximum entropy.” This entropy is characterized by randomness and a low useful state.
To put it another way, regular (space) crystals are a collection of molecules or atoms that form a repeating pattern in space. On the other hand, a time crystal is a collection of molecules or atoms that create a regular, repetitive pattern but in ‘time.’ That is, they will sit in one pattern for a while before switching to another and repeating the process. For example, let’s consider an ice cube analogy where an ice cube exists as a solid and melts to become liquid water that can be frozen into ice cubes again. Here the states of water involve a transfer of energy. However, in a time crystal, there will be a change between two configurations back and forth but with no energy usage or energy loss.
Nobel Prize-winning MIT professor Frank Wilczek first proposed time crystals in 2012 as temporal analogs of ordinary space crystals. When realized in a time-independent (energy-conserving) system, time crystals can violate continuous symmetry and discrete-time translation when implemented in a periodically driven (Floquet) system.
According to Quanta Magazine, the time crystal is composed of three main components. First, a row of particles with different magnetic orientations is locked into a combination of low- and high-energy structures. This is referred to as a “many-body localization.” Next is flipping the orientations of those particles that results in creating a mirror version termed as eigenstate order. It’s effectively a secondary many-body localized state. Last but not least, there’s the use of laser light. This enables the states to cycle — from normal to mirrored and back — but without consuming any of the laser’s net energy. The result of this gives us Floquet crystal, which was achieved in 2016. In the said experiment, the researchers then cooled a string of ytterbium ions to their ground state and noticed that the ions could still interact with each other.
Quantum computing has been an asset in performing complex calculations, like drug discovery, climate modeling, financial optimization, or logistics. A couple of years ago, Google’s Sycamore made headlines when Google revealed the quantum computer had achieved quantum advantage (previously known as quantum supremacy). Sycamore could perform calculations in 200 seconds that would take 10,000 years on the fastest supercomputers.
What makes quantum computers interesting is instead of the basic manipulation of ones and zeros in conventional binary-based computers, they employ quantum bits or qubits. These qubits also feature a third state known as “superposition,” which can represent a one or a zero simultaneously. Instead of sequentially analyzing a one or a zero, superposition allows two qubits to represent four situations at the same time. Additionally, qubits are capable of entanglement, which is the coupling of two or more qubits. In this case, one qubit’s state cannot be defined separately from the states of the others, allowing for immediate communication.
Google Sycamore, Image Source: CNet
The qubits in Sycamore are superconducting aluminum strips that Google engineers designed to imitate a particle’s spin, which can point up or down, i.e., one or zero. The Google Quantum AI team used a chip with 20 qubits as the time crystal for the experiment. First, the team introduced destructive interference by adjusting the intensity of the interactions between the qubits. The researchers then used microwaves to agitate the system, causing it to flip between two “many-body localized states.” The change in spins did not absorb or dissipate energy from the microwaves, leaving the system’s disorder, or entropy, intact.
According to the researchers, their experiment shows that their technology has the potential to manufacture time crystals. If this discovery is confirmed, it may have massive implications in the realm of quantum computing.
Google is not the first to experiment on the possibility of time crystal-powered quantum computing. On July 5, the Delft University of Technology in the Netherlands announced creating a Floquet time crystal out of the nuclear spins of carbon atoms in a diamond rather than in a quantum processor. In comparison to Google’s Sycamore quantum processor’s time crystal, the Delft system is more restricted and compact.
While the Sycamore feat has caught the attention of the scientific community, experts worry that the decoherence in Google’s processor can result in a decay in the quantum states of the qubits. This implies that time crystal oscillations would ultimately die out when the system is hampered by the environment. However, according to the preprint, this issue might be addressed if the CPU becomes more thoroughly isolated.
Tech startup SenpAI.GG launches its gaming assistance that is helping gamers around the world to improve their gameplay using artificial intelligence technology.
Games nowadays are incredibly complicated to understand and crack, so SenpAI.GG has developed a one-of-a-kind platform that will help gamers with the best guidance to perform better.
The assistant currently has support for various popular games like League of Legends, Valorant, TFT, and Wild Rift. The assistant adheres to all the guidelines and approved APIs of every game before adding new features.
The artificial intelligence-powered gaming assistance can generate enemy insights, suggest combination attacks, push notifications of major in-game events, and give tips for better game strategy planning.
The software is available for free download on windows systems on the official website of SenpAI.GG. Apart from this platform, the company also has developed a voice assistant dedicated to the esports industry.
SenpAI.GG was founded in Massachusetts by Berk Ozer and Olcay Yilmazcoban in the year 2017. The firm has its headquarters in the Greater Boston area, New England.
The startup specializes in developing artificial intelligence gaming solutions using patent pending technologies, computer vision, edge computing, and deep learning. It has received a total funding of $2.9 million from ACT Venture Partners in its seed funding round.
Company officials claim that the platform currently has more than 400,000 active users and has a workforce of eleven engineers. The company plans to expand its support for many other popular PC games in the coming years.
Oman-based telecommunication company Omantel announces partnership with artificial intelligence solutions developing enterprise Elevatus to enable AI-powered video assessment.
Omantel plans to use Elevatus’ artificial intelligence video assessment technology to scan huge numbers of internship applications designed for generation Z talents. The technology is capable of assessing over 2300 applications per week.
Omantel officials said the artificial intelligence solution was able to achieve a conversion rate of more than 80%. Elevatus, in the past, has successfully provided many artificial intelligence and automation solutions to businesses operating in various industries.
The London-based tech company was founded in 2018 by Yara Burgan. “In this digital era, we are at the epicenter of agility and innovation. However, every advanced technology needs an agile team behind it. Omantel’s team of leaders and forward-looking managers seamlessly engaged, adapted, and utilized EVA-SSESS innovatively throughout the entire process to yield lucrative results,” said Burgan.
She further added that the company believes the success of its technologies depends on how the users engage, interact and utilize them. Elevatus is proud to see new businesses adopt artificial intelligence and automation solutions to connect and interact with users. Omantel witnessed a three times hike in its return on investment and a twelve times faster assessment speed after this strategic partnership.
The General Manager of Organization Planning at Omantel, Ibtihal Mohammed Al Riyami, said, “Omantel takes pride in being a market leader that continuously strives to adopt new innovative initiatives in the market. We are rolling out unique, intensive, and interactive training programs that are designed to enable new Generation Z talent to participate, contribute, and play a vital role in building the future of Oman.” He also mentioned that using Elevatus’ EVA-SSESS platform, they were able to connect and engage with the new generation of users. Omantel is one of the leading telecom companies in Oman that also serves as the primary internet service provider in the country.