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Now Artificial Intelligence Can Detect COVID-19 by Listening to Your Coughs


Coronavirus Latest Update: With asymptomatic people testing positive for coronavirus becoming a major cause of concern, researchers are finding a new way out to find if there are any indications in a human's cough that could detect COVID infection. Researchers have confirmed that an artificial intelligence (AI) tool that can detect if there are any indications in a human's cough that could point to a COVID infection, before seeking medical help and further testing. Also Read - Why Do Covid Patients Suffer From Fatigue, Lack of Breath For Long? Researchers at the Massachusetts Institute of Technology (MIT) are saying that artificial intelligence (AI) tool can detect covid-19 through human's cough. According to their research studies, they say that people who are asymptomatic may differ from healthy people in the way that they cough and while differences are not decipherable to the human ear, AI can detect these. Moreover, the researchers are also working to make this tool available to users as an app.

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling


The intensity of the growth of the covid-19 pandemic worldwide has propelled researchers to evaluate the best machine learning model that could the people affected in the distant future by considering the current statistics and predicting the near future terms in subsequent stages. While different univariate models like ARIMA/SARIMA and traditional time-series are capable of predicting Number of Active cases, daily recoveries, Number of deaths, they do not take into consideration the other time-varying factors like Medical Facilities (Volume of Testing, ICU beds, Hospital Admissions, Ventilators, Isolation Units, Quarantine Centres, etc). As these factors become important we build a predictive model that can predict the Number of Active Cases, Deaths, and Recoveries based on the change in Medical Facilities as well as other changes in infrastructure. Here in this blog, we try to model Multi-step Time Series Prediction using Deep learning Models on the basis of Medical Information available for different states of India. A typical multi-step predictive model looks as the below figure, where each of the predicted outcomes from the previous state is treated as next state input to derive the outcome for the second-state and so forth.

How can technology and artificial intelligence help tackle climate change?


On Nov 28th 2019, the EU parliament declared a global climate and environmental emergency. They say that all politics is local and across the world climate change seems to be coming home to roost. In the hills around San Francisco the bankrupt PG&E power company pre-emptively shutoff power to homes for several days as it worried that its ageing electrical equipment would act as a match to the parched trees and vegetation. In Europe extreme flooding has been immersing ancient towns in apocalyptic scenes. In Australia it was hard to discern the iconic Sydney Opera House for all the smoke from the raging bush fires.

Women Leaders in AI - 2020 - NASSCOM Community


The excitement of using Artificial Intelligence has not dwindled from the time it has been unfolded. In KPMG study on “living in the AI world 2020: achievements and challenges of AI across 5 industries (retail, financial service, healthcare, transportation, and technology), revealed that 92% of respondents agreed that leveraging the spectrum of AI technologies will make their companies run more efficiently. Amidst the admiration towards AI, IBM created the Women Leaders in AI program in 2019. This was a way to acknowledge the women leading in AI and encourage females to lend a hand in the field of AI. Through this IBM, planned to make the efforts of the honourees more visible to the world. 2020 IBM women leaders were honoured for outstanding leadership in the AI space. Here is the list of women leaders in AI 2020 honorees:- Aarthi Fernandez Who is a Global head of Trade Operations and SEA Trade COO at Standard Chartered Bank? She is a C-suite executive with deep insight on how digitalization can positively disrupt US$17 trillion global trade. She is into deploying AI/Machine learning to make trade financing simple, faster, and better for corporate clients and mitigate compliance risk. Piera Valeria Cordaro She is a commercial Operations Innovation Manager, Wing Tre S.p.A., Italy. She is a speaker, advocating the use of AI in customer operations. Along with her team and with support by IBM Watson, implemented two chatbots, to improve customer experience. Both bots have made it possible to handle a million queries efficiently. Amala Duggirala Who is the enterprise Chief operation and Technology officer, Regions Bank, United States. To handle customers’ inquiries she deployed IBM Watson’s assistant- virtual banker persona, ”Reggie”. From the time of its implementation 4.3 million customer calls have been answered, with 22% of them being handled by AI. Mara Reiff Vice President, Strategy and Business Intelligence, Beli Canada, Canada. She used AI to improve operations, loyalty, and brand. She worked with IBM to install Watson studio Local using Red Hat open shift. This resulted in smarter, fast decision-making with improved customer experience leading to increased sales. Mara suggests everybody to “Make sure to stop and smell the roses. Take each opportunity to learn something new and embrace change”. Amy Shreve- McDonald She is lead Product Marketing Manager for Business Digital experience, AI&T, USA. EVA (Enterprise Virtual Agent) was launched in February 2019, to improve customer chat experience, it uses Watson assistant. This system has been able to handle 45% chats on its own, resulting in reduced costs and expanding 24/7 support. She also received AT&T’s 2019 Visionary Award for her work advocating EVA. Ryoko Miyashita Manager, customer service department, customer service section JACCS CO., LTD Japan. She launched a Watson-enabled operator onboarding tool, that resulted in reduced new operator training period by 30%. The tool has increase customer satisfaction. Her advice to the younger self is “It is important to believe in yourself, but it is equally or more important to believe in people around you. I would encourage myself to have many experiences and garner knowledge to objectively evaluate things, not blindly accept or exclude others’ opinions”. Carol Chen She is Vice President for Global Marketing, Global Commercial, Royal Dutch Shell, United Kingdom. Along with her team, Carol is partnering is planning for digital transformation with the creation of “Oren”- a Smart Minning Platform, by partnering with IBM. This platform will offer an innovative and creative experience for users in the sector to deliver connectivity and integration across the ecosystem. To use AI, she advice commencing with analyzing the business outcome that one wants and customer pain points that one can cater to. The next step would be to determine how to leverage AI and data to solve the problem. Rosa Martinez Cognitive Project Manager, CiaxaBank, Spain. For those who consider using AI, her advice to them is ‘first to understand the business case as it may take time more than expected. This phase can result in a non-AI project example a ‘software as usual’. But moving further with the project there can be more AI application for sure to work on’. Lee- Lim Sok Know Deputy Principal, Temasek Polytechnic, Singapore. Under the leadership of Sok Keow, The higher education institution in Singapore ‘Temasek Polytechnic’ launched the “Ask TP” chatbot in January 2018. The chatbot helped current as well as prospective students to get answers to the questions asked about Temasek and also gave personalized course advice. In the 1st two weeks of 2020, ‘Ask’ TP’ responded to more than4,351 questions. She suggests everybody “deeply appreciate ‘people’ as they are the most critical asset in an organization, and a leader must develop a team”. Itumeleng Monale Executive Head of Enterprise Information Management Personal and Business Banking, Standard Bank of South Africa, South Africa. By deploying many analytical tools in her organization, she can uplift the revenue of the company. Through models of analytics relationships, bankers are experiencing a 40% revenue uplift when comparing to their peers. She sees AI as a tool through which business delivery can be accelerated, value could be added to human capital and relationships can build further. With this AI era, Research has postulated that corporate giants still have less percentage of women in the technical department. Facebook’s diversity report suggests that there are 22 % of women in the technical department and 15 per cent of women work in the AI research group. Similarly, Google’s diversity report suggests that only 10% women are working on  “machine intelligence”. There is a need to encourage women participation as there are many more women around the world, stepping out of the pre-existed sheathe and going beyond the walls to shape the future. Opening up the AI platform for all will fetch us more talented beings which can help us celebrate the use of AI in different fields and different ways. Reference:-   About the author:- Kirti Kumar is a budding HR professional currently pursuing PGDM in HR and Marketing at New Delhi Institue of Management. She looks forward to opportunities that can hone her skills. She is agile in her attitude with versatility in her action

Eight case studies on regulating biometric technology show us a path forward

MIT Technology Review

Amba Kak was in law school in India when the country rolled out the Aadhaar project in 2009. The national biometric ID system, conceived as a comprehensive identity program, sought to collect the fingerprints, iris scans, and photographs of all residents. It wasn't long, Kak remembers, before stories about its devastating consequences began to spread. "We were suddenly hearing reports of how manual laborers who work with their hands--how their fingerprints were failing the system, and they were then being denied access to basic necessities," she says. "We actually had starvation deaths in India that were being linked to the barriers that these biometric ID systems were creating. So it was a really crucial issue."

Artificial Intelligence (AI) Business Directory – Adaptive Toolbox


AI Business Directory is a list of key companies (including startups and big corporations) worldwide with products, services, and applications in the fields related to the Artificial Intelligence (AI). A registered user can submit a listing and maintain it for your own business. The listing service is free. Typical AI fields include, but not limited to: Machine Learning (ML), Deep Learning, Cognitive Computing, Natural Language Processing (NLP), Computer Vision, Pattern Recognition, Autonomous Agents and Multi-Agent Systems, Automated Planning and Scheduling, Robotics, Predictive Analytics, etc. Typical AI applications include, but not limited to: Smart Agriculture, Healthcare, Manufacturing, Smart Cities, Smart Grids, Smart Mobility, Smart Lighting, Smart Buildings, Smart Home, Autonomous Vehicles, Supply Chain and Logistics, Cybersecurity, etc.

A Hybrid Multi-Objective Carpool Route Optimization Technique using Genetic Algorithm and A* Algorithm Artificial Intelligence

Carpooling has gained considerable importance in developed as well as in developing countries as an effective solution for controlling vehicular pollution, both sound and air. As carpooling decreases the number of vehicles used by commuters, it results in multiple benefits like mitigation of traffic and congestion on the roads, reduced demand for parking facilities, lesser energy or fuel consumption and most importantly, reduction in carbon emission, thus improving the quality of life in cities. This work presents a hybrid GA-A* algorithm to obtain optimal routes for the carpooling problem in the domain of multi-objective optimization having multiple conflicting objectives. Though Genetic algorithm provides optimal solutions, A* algorithm because of its efficiency in providing the shortest route between any two points based on heuristics, enhances the optimal routes obtained using Genetic algorithm. The refined routes, obtained using the GA-A* algorithm, are further subjected to dominance test to obtain non-dominating solutions based on Pareto-Optimality. The routes obtained maximize the profit of the service provider by minimizing the travel and detour distance as well as pick-up/drop costs while maximizing the utilization of the car. The proposed algorithm has been implemented over the Salt Lake area of Kolkata. Route distance and detour distance for the optimal routes obtained using the proposed algorithm are consistently lesser for the same number of passengers when compared with the corresponding data obtained using the existing algorithm. Various statistical analyses like boxplots have also confirmed that the proposed algorithm regularly performed better than the existing algorithm using only Genetic Algorithm.

News from a postpandemic world


We asked young scientists to imagine this scenario: You are a science writer in the year 2040 working on a news story that answers this question: What do you hope or fear will be the long-term effects of the coronavirus disease 2019 (COVID-19) pandemic? A selection of their responses, arranged as a newpaper, is below. Follow NextGen Voices on Twitter with hashtag #NextGenSci. Read previous NextGen Voices survey results at . —Jennifer Sills Today, scientists confirm that 1000 previously endangered species have been removed from the Vulnerable list. Biodiversity renewal has been under way since the COVID-19 pandemic 20 years ago led many governments to reevaluate their priorities. Hunting practices and bushmeat consumption were constrained to limit the transmission of new pathogens through human contact with the meat and biofluids of wild animals. Deforestation was restricted worldwide when it became clear that land-use modifications and climate change were important drivers of vector-borne diseases. COVID-19 claimed many lives, but the political and environmental changes the pandemic inspired have likely saved many more by protecting the world's biodiversity. Joel Henrique Ellwanger Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil. Email: joel.ellwanger{at} Science and technology research budgets, now classified as an arm of the national defense force, could rival traditional military spending in a few years' time. This newfound prioritization of science was shaped by the COVID-19 pandemic, which made clear that the previous conception of military force is impractical when the enemy is invisible and formidable. The unprecedented redirection of financial resources to scientific communities to help find a cure and vaccines, along with the increased demand for scientific experts, expanded technological frontiers and gave science a well-deserved space in governance. Mpho Diphago Stanley Lekgoathi The South African Nuclear Energy Corporation, Pretoria, Gauteng, South Africa. Email: mpho.lekgoathi{at} In response to the 50th wave of COVID-19, which hit New York City last month, the U.S. government has announced that the first spaceship designated for in-orbit medical treatment of COVID-19 patients will soon transport 10,000 residents from high-risk zones to Space. Scientists say that prolonged stay in Space colonies with exposure to controlled gamma radiation from cosmic dust may help weaken the virus's strong affinity to lung tissue. “We will do all we can to protect our residents on Earth. Unlike 2019, we are prepared for this challenge,” said the President in a Capitol Hill address. The Senate has voted to fund the treatment expenses for everyone on the flight. Kartik Nemani Layered Materials and Structures Lab, Department of Mechanical and Energy Engineering, Purdue School of Engineering and Technology, Indiana University–Purdue University Indianapolis, Indianapolis, IN 46202, USA. Email: snemani{at} Workers at major corporations staged a walk-out today, the 20th anniversary of the COVID-19 pandemic, to protest what some have deemed invasive monitoring. Many fears subsided when the first SARS-CoV-2 vaccine was broadly distributed in 2023, but subsequent zoonotic viruses emerged faster than society could prepare for them. With the world economy precariously weak, a cautious arrangement was reached: Workers could return to their jobs if they submitted to routine infection checks. At first, these were relatively innocuous temperature probes and cough tracking. However, with the 2029 advent of low-cost RNA wastewater screening by smart toilets and ubiquitous wall-mounted infrared heat sensors, infected employees could be pinpointed before displaying acute symptoms. Later, an eCommerce/fitness-tracking consortium released artificial intelligence algorithms that combined smartwatch health metrics and recent online search history. Corporate Wellness Boards used the results to justify mandatory quarantines. Employees cried foul. The debate rages on in our courts and on the Giganet about whether the public good is served by exposing the “viral status” of the few. Michael A. Tarselli Society for Laboratory Automation and Screening, Oak Brook, IL 60523, USA. Email: mtarselli{at} Earlier this month, 21 individuals were quarantined in Kampala, Uganda, after a man was diagnosed with Marburg hemorrhagic fever by the local laboratory of the International Center for Disease Prevention (ICDP). The patient, who has now fully recovered, may have been infected at the veterinary clinic where he worked in close contact with possible animal carriers. “This is a virus that spreads easily through bodily fluids and historically has been transmitted to caregivers,” said Dr. Icuaf, director of the ICDP. Once again, the localized presence of centers with efficient testing capabilities made it possible to identify patient zero and contain the outbreak at its inception. As a result, “no deaths occurred, and everyone who might have been exposed has been quarantined while we monitor their health,” added Dr. Icuaf. The ICDP was instituted in 2021 as a global response to the COVID-19 pandemic, which marked a revolution in public awareness of science-based policy. The cost of crisis prevention is now routinely compared with the predicted price of managing such a crisis after it has occurred. Ahmed Al Harraq Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA. Email: aahme22{at} One of the world's leading universities is launching a large-scale screen of potential antiviral and antibacterial drugs on human volunteers. The substances show promising results in vitro but have not been tested on animals. To compensate for the risk of side effects, all volunteers will receive generous payment. “Drugs showing promising effects on mice could be ineffective on humans, making drug development expensive and slow,” explained the leading scientist of the drug screen. Human rights experts warned against granting permission to conduct the study. “Offering payment for causing physical harm targets the economically vulnerable and violates basic human rights,” they argued. However, doctors and politicians praise the idea, referring to the COVID-19 epidemic. “Developing a new drug through the traditional process can take years. Testing multiple potential candidates on coronavirus-infected people saved thousands of lives before basic research had a chance to catch up. Next time, we want to be prepared,” explained the health minister. Anna Uzonyi Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 7610001, Israel. Email: anna.uzonyi{at} Results published today from a 20-year experiment show that a “lottery” grant funding scheme is superior to traditional peer-review assessment panels. For decades, researchers have debated the effectiveness and cost-efficiency of selecting grant recipients through a peer-review process, given the documented biases that hinder diversity and equitable decision-making. “It was a controversial move at the time, but the results are clear,” said the lead author of the study. The funding experiment, which began in 2020 in response to the COVID-19 pandemic, was introduced to preserve the workforce employed on short-term contracts. During that year, pandemic-related budget cuts and social restrictions impeded the traditional peer-review process. “The lottery not only reduced peer-review bias but also added millions of dollars per year to the sector in hours saved by academics no longer devoting time to peer review,” said the lead author. “That time was spent on doing more experiments, mentoring colleagues, or achieving a healthier work-life balance.” Ken Dutton-Regester Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia. Twitter: @stemventurist As the debate continues on the efficacy of educational methods, most universities now use a combination of in-person, remote, and technology-enhanced classrooms. The rapid expansion of evidence-based strategies such as machine learning and artificial intelligence, audio and video tools, three-dimensional environments, and simulations across disciplines began during the COVID-19 pandemic. The decision to move education to a computer-based environment to protect the health and safety of students and staff transformed the educational conversation. In the increasingly technology-enhanced world, discussions about how to teach a science class online, how to facilitate lab experiences, and how to conduct experiments with new constraints swept the research community. A nuanced understanding emerged about true online pedagogy versus synchronous, remote meetings. Two decades later, we see the results of this transformation. Rachel Yoho Department of Environmental and Global Health, University of Florida, Gainesville, FL 32603, USA. Twitter: @rachel_yoho A stunning 200,000 people attended the grand opening ceremony of the 2040 Olympics yesterday in New Delhi, India. It has been 20 years since such a public event could take place safely. Only with the recent release of clothing and shoes made of technologically advanced materials that instantly kill viruses could the social distancing that began with the COVID-19 pandemic be relaxed. For added peace of mind, all attendees at the ceremony consented to the skin implantation of Viroclean, a new chip-based device that sounds an alarm when it detects viruses in the air. Sudhakar Srivastava Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India. Email: sudhakar.srivastava{at} This weekend, at the Coachella 2040 music festival, three aerosol biosurveillance sensors detected a SARS-like virus in the air. Smartphone tracing, using the opt-in U.S. Centers for Disease Control and Prevention (CDC) geospatial health app developed in the wake of the COVID-19 pandemic, identified two potential index cases. The CDC outbreak prevention team mobilized regional contact tracers to intercept and test both individuals within an hour of first detection. One individual tested positive for a variant of the 2019 SARS-CoV-2 strain, previously thought to be eradicated, and is undergoing treatment in quarantine. Michael Strong Center for Genes, Environment, and Health, National Jewish Health and University of Colorado, Anschutz Medical Campus, Denver, CO 80206, USA. Email: strongm{at} Last week's 15th annual Pan-global Remote Integrated Sciences Meeting (PRISM) attracted more than 100,000 attendees from more than 160 countries. Scientists, educators, students, entrepreneurs, policymakers, and industry experts from fields spanning the physical, biological, and social sciences logged on to the online venue, enabled by virtual reality. Advanced machine learning algorithms provided recommendations for presentations relevant to each participant based on both their expertise and potential for interdisciplinary collaboration. As usual, the highlight of the meeting was the virtual poster sessions, driven by interactivity and streamlined to optimize small-group scientific conversation across fields. Many junior scientist attendees were surprised to learn that such events were nearly unheard of before PRISM grew from the increasing move toward virtual conferences during the coronavirus pandemic over 20 years ago. “My adviser told me that when she was a grad student, big conferences were all held in person,” writes one anonymous Ph.D. student. “Can you imagine having a giant conference like this in some random convention center, with tens of thousands of scientists spending hundreds of dollars on fuel-inefficient flights and hotel booking, lugging around printed posters and just milling around for a week trying to find the optimal talks to attend? Insane.” Yifan Li Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA. Twitter: @iWonderWhyly Today, cell-based meat consumption has surpassed farm-produced meat for the first time. The transition began with the meat shortages and near collapse of the meat supply chain during the COVID-19 outbreak. With thousands of workers packed into poorly ventilated and unhygienic facilities, meat processing plants were hotspots for the SARS-CoV-2 virus. A global meat shortage emerged as production rates were slashed. Most people turned to the plant-based meat alternatives available at the time. The meat industry's demise was sealed when cell-based meat entered the mainstream market the following year. Clean meat eliminated the negative effects of the meat industry, from pollution caused by runoff and antibiotics, to worker and animal cruelty, to the carbon footprint of livestock, which contributed 18% of greenhouse gas emissions at the time. Cell-based meat has been growing in popularity ever since, as traditional meat became ethically and environmentally unpalatable. JiaJia Fu Whittle School and Studios, Washington, DC 20008, USA. Email: jjnaturalist{at} Global seafood supply now relies entirely on aquaculture. The turning point came when researchers optimized the breeding techniques for edible crabs, enabling high-valued crab species such as mud crabs and blue crabs to be mass-produced in full aquaculture settings. The prioritization of aquaculture was made possible by the COVID-19 pandemic in 2020. A 12-month closure of fisheries during the wave of global stay-at-home orders led to the rejuvenation of overexploited species such as sardines and mackerels, which had been on the verge of extinction, and made people recognize the fragility of the supply chain. Full investment in aquaculture research began the following year. Khor Waiho Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia. Email: waiho{at} Next week, the United Nations will meet to assess whether the goals of the 2040 Agenda for Sustainable Development have been achieved. Unfortunately, reasons for optimism are scarce. Overexploitation of natural resources, CO2 emissions, and plastic waste continue to soar. The wealthiest sector of the population consumes 80% of the resources, and the poorest people increasingly suffer from extreme weather events, famines, and freshwater scarcity. We were already heading in this direction early in the century, when the short-term vision of corporations and policy-makers prioritized economic benefits over human and environmental health. The COVID-19 pandemic exacerbated the negative trends. Since 2020, an array of wasteful practices increased, including the proliferation of single-use products and travel in private vehicles to avoid physical contact. After reviewing the past decade, the UN countries will discuss commitments to decrease inequality and pollution by 2050. Isabel Marín Beltrán Laboratory of Environmental Technologies, Centro de Ciências do Mar do Algarve, Universidade do Algarve, Campus de Gambelas, Faro, 8005-139, Portugal. Email: imbeltran{at} For the first time, global average air temperature is more than 2°C higher than the 20th-century global average. Scientists suggest that decisions made in response to the COVID-19 pandemic led to today's disastrous climate consequences. After the Paris Climate Agreement in 2016, scientists were hopeful. National governments were implementing increasingly ambitious measures to meet their commitments. But the economic fallout of the pandemic led growing economies such as India to relax environmental clearance guidelines for industries and infrastructure projects and cut funding allocated to environmental reforms. First-world countries such as the United States and China, instead of shifting toward renewable energy, boosted investment in fossil fuels, which in turn increased greenhouse gas emissions. Even after multiple warnings from the Intergovernmental Panel on Climate Change, G20 nations neglected to follow the advice of scientists. Akash Mukherjee Department of Physics, Indian Institute of Science Education and Research, Pune, Pune, Maharashtra, 411008, India. Twitter: @aghori_AM A government report released yesterday warns of a potential spike in counterfeit immunity passports entering the market this coronavirus season. According to Jane London, the U.K. health minister, “There is a substantial increase in the number of illegal immunigrants crossing provincial and municipal borders. The public should be aware that just scanning someone's immunity passport is not enough anymore.” This report comes just 6 months after the U.S. Centers for Disease Control and Prevention first released notice that the “NextGen Immunity Passport” brand had been hacked, allowing scammers and tech-savvy citizens to falsify the immunity data they carry with them by law. Asked how businesses and town-guards were detecting falsified immunity passports at checkpoints, minister of national movement John Petersfield told journalists, “This is a police matter. Any further information about detection at this time will only help counterfeiters.” Widespread counterfeiting, as well as last year's false-negative scandal, has generated substantial public distrust in the use of the immunity passport system in movement legislation, now 19 years old. “We learned our lesson about free movement back in 2020,” said one government official who wished to remain anonymous, “but the immunity passport system is cracking, and we don't see a fix yet.” Tyler D. P. Brunet Department of History and Philosophy of Science, University of Cambridge, Cambridge, Cambridgeshire, CB2 3RH, UK. Email: tdpb2{at}

Top AI and Machine Learning Development Companies In 2020


The year might kick-off at an ominous note with recession indicators showing omen of an economic downstream, the IT space has never been feast to one's eye more indispensable with emerging technologies playing pivot. Presently, not a day passes without any news and message having word Artificial Intelligence, Machine Learning, and Big Data. The algorithm continually evolves, the experts gain knowledge, consisting of information about each trade; this undeniably draws exciting prospects for the future with customized good, food, and entertainment. With the best AI/ML development companies in India and the USA paring costs and more data-driven decisions, they are proving to be a simple yet efficient proposition of the time. Recently, business and startups have started observing value in actionable insights from a vast swath of raw data and information.

Now Artificial Intelligence can compose a song on its own IAM Network


Hyderabad: The field of Artificial Intelligence is moving forward in breakneck speed with major breakthroughs taking every passing day. Earlier this week on Wednesday, the Business Insider India website reported that a website known as Imgflip built a meme generator called'This Meme Does Not Exist', which harnesses the power of machine learning to generate new memes by using 48 most popular meme templates and creating new captions at the click of the mouse.On Thursday, OpenAI, a San Francisco-based research laboratory, unveiled Jukebox, a neural network that can create music, along with lyrics and vocals, as per a blog published on the research lab's official website. The researchers at the OpenAI lab trained multiple machine learning models that were fed with a dataset of over 1.2 million songs over made by combing through the web, which were then paired with their corresponding lyrics and metadata that includes the name of the artist, genre of the album, year of release, along with the playlist keywords linked to the song and the common moods. It then performs data augmentation by downmixing the right and left channels randomly to produce Mono audio.