Google subsidiary Loon LLC, which provides Internet access in remote and rural areas, has set a new record for the longest balloon flight in the stratosphere. According to the company website, it uses high-altitude balloons in the stratosphere at an altitude of 18 km to 25 km to create an aerial wireless network with up to 1 Mbps speeds.
Russian economist Ivan Smirnov from the Higher School of Economics created an artificial intelligence system that determines a student’s academic performance based on their posts on the social media platforms. Smirnov received a Russian grant to facilitate the project. The result is 94% accurate.
The developer of a new version of “Deepfake” technology is Alexey Chaplygin, who lives in the Netherlands. He spent two years on the project, and has now submitted the first version. In the video, he shows that just one photo is enough to “inject personality” into an arbitrary video.
On Thursday, there was an announcement pertaining to new technology designed in Belarus. Belarusian experts presented an algorithm that allows users to identify law enforcement officers, while they are wearing masks. Since the Belarusian presidential election, the protests have not stopped.
Chinese cloud computing company Alibaba Cloud presented several new products at its Apsara 2020 conference. Alibaba Group Holding Limited, also known as Alibaba Group and as Alibaba.com, is a Chinese multinational technology company specializing in e-commerce, retail, Internet, and technology. It was founded in the 1999.
Germany announced the creation of the new technology to assist in providing the accurate crowd numbers. At the end of August, thousands took to the streets in the “anti-Corona protests”. There was an attempt to close Berlin by the law enforcement. The government tried to stop the planned demonstration due to the concern of the Coronavirus spread.
The engineers of the Novosibirsk State Technical University (NSTU) have developed a facial recognition system that can distinguish people even with medical masks on them. The new development can be used where there are passageways to monitor people and identify those who are not allowed access to a facility.
Artificial Intelligence (AI) continues to forge ahead. When the vast majority of traditional manufacturing processes are already based on artificial intelligence, machine learning, big data analysis, and system commands based on this analysis, digital security issues become crucial.
Technology is retreating from a growth-at-all-costs, casting aside an approach that has worked for many mobiles AI generating companies but has sputtered in the real world of mobile and artificial intelligence. On this, Market Research Future study being into the spotlight that the global Mobile AI Industry 2020 will be flowing at a healthy growth rate of 29.52% CAGR during the forecast period 2018–2023. Over this period, the market will also be valued at around $10.28 billion, with the same growth rate by 2023.
The future of the global Global Regulatory Technology Market 2020 has come over with an expected 22.8% CAGR from the year 2018 to 2023, which is the forecast period of the market. The report has been presented by Market Research Future (MRFR) experts that depicts the market is yet to offer many lucrative opportunities for the key players to invest in making the market more profitable.
Russian professor Igor Bobarika announced a new unmanned aerial vehicle (UAV) “Letyaga” which resembles a flying squirrel in its silhouette. The information became available on his university website. The new drone was developed at the Irkutsk National Research Technical University (INRTU), a leading research university in Eastern Siberia that ranks among the most innovative.
The Japanese Cabinet has announced an initiative to create a future society as part of the Moonshot Research and Development program. The main goal of the program is to free people from physical, mental, temporal and spatial restrictions by 2050. By 2030, the government of Japan plans to develop technology for piloting robotic avatars. By combining AI, biotechnologies, and a super-fast network, a single person can control up to 10 avatars simultaneously to perform various tasks from the comfort of their own home and regardless of their physical capabilities.
In the era of Big Data, a data catalog is essential for organizations to give users access to the data they need. But it can be difficult to deploy this important tool if populating the catalog entails a significant amount of manual work. The key to a successful data catalog implementation is the rapid population of the data catalog so it can be quickly put into use.
A new decade offers a natural yet pivotal inflection point around business transformation and advancement. With innovation and related disruption accelerating, organizations can no longer sit back and wait to see what change brings. Instead they must embrace it, and invest in it.
Boston Dynamics announced on April 23rd that their four legged robot Spot will be going to one of the Boston hospitals to aid the staff in caring for patients with Coronavirus. Boston Dynamics has ambitious plans to expand and implement its robot base in many areas of healthcare, as well as providing open access software — so that all hospitals in the world can use such electronic assistants if they want.
Breakthrough new research became available on April 20 discussing how neuroscientists created artificial neurons from protein strands to behave like live ones. Neurons are the nerve cells and nerve fibers that are electrically excitable cells in the nervous system that function to process and transmit information. In vertebrate animals, neurons are the core components of the brain, spinal cord and peripheral nerves.
A new patent has been granted in Russia. The patent holder is PJSC Sberbank, a state-owned Russian banking and financial services company headquartered in Moscow. The company was known as “Sberbank of Russia” until 2015. Sberbank has operations in several European and post-Soviet countries. The patent is very relevant for the present conditions, since nations like Russia and China are tracking their citizens digitally during the quarantine to know where they are at all times and if they are violating the mandatory quarantine.
Researchers from the University of California developed a system that decrypts brain signals and turns them into speech. The unique technology allows for the understanding of what one is saying without the need to hear. It is valuable research, especially for the deaf, and could lead to a speech synthesizer.
Facial recognition technology has become one of the most utilized tools in airports and other entities. It is a great tool for risk assessment and controlling ational security around the globe. Facial recognition projects have been around since last century. There were many primitive attempts that took place in the 1980s.
The most notable project, and a predecessor of the currently evolved facial recognition technology, was development by Paul Viola and Michael Jones in 2001. The Viola–Jones object detectionframework is the first framework to provide competitive object detection rates in real-time. At the time a standard available computer could produce 15 images per second using this method.
Why has there been such a sudden explosion of Machine Learning and Artificial Intelligence in security? The truth is that these technologies have been underpinning many security tools for years. Frankly, both tools are necessary precisely because there has been such a rapid increase in the number and complexity of attacks.
This week Google released a unique library of programs called TensorFlow Quantum (TFQ). It complements the well-known TensorFlow tool designed to work with artificial intelligence on classic computers. The purpose of the library is to work with quantum neural networks. It can be used both on real quantum computers and on their simulations. It is open source and free.
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking.
Russia announced the final stage in the development of exoskeletons. The project design and implementation is done by the Norilsk Nickel Digital Laboratory, in partnership with Kursk State University. A powered exoskeleton (also known as power armor, powered armor, powered suit, exoframe, hardsuit or exosuit) is a wearable mobile machine that is powered by a system of electric motors, pneumatics, levers, hydraulics, or a combination of technologies that allow for limb movement with increased strength and endurance.
The pace and scale of digital business innovation is increasing. Industries are experiencing widespread disruption. Digitally connected customers demand more, faster. New competition comes out of nowhere. Organizations are trying to optimize resources, accelerate development, and adapt faster to market changes.
Do you know every individual living on the planet earth spends around 30 years individually on chores on average? It is not a guess, but Plato’s Timaeus specifically focuses on the same concept. It brings out the truth even in the modern-day to refer the untapped human resource capital to reap the economic benefits. Unwittingly, the philosopher has highlighted the importance of time to be saved. Interestingly, the human being has strived hard to optimize time management by deploying Artificial Intelligence (AI) in the real world scenarios!
AI is bringing innovation at a very fast pace in all facets and is driving the world crazy in this century. While it is not news that Ai is changing lives for good, it is not going to stop being a hot topic any time soon. Artificial intelligence and its peak is here to stay for a long time from now.
The benefits and importance of artificial intelligence-powered devices, tools, and applications are not unheard of in today’s world. The field of healthcare and education only forms the tip of the iceberg.
AI has been with us in one form or another for over 60 years and yet it seems to be more misunderstood today than ever. It’s not for lack of trying. Venture capital investment in AI now tops $3 billion annually, and the number of active startups in the U.S. that are developing AI technologies has gone up by a factor of 14 since 2000. A huge number of consumer products are now being built with AI, from smartphones that understand what we say to smart dolls that can understand how your child feels.
Processes, workflows and the understanding of performance are dramatically changing. Operations can no longer work in linear execution, or in isolation of other functional work streams such as engineering, maintenance and planning. Instead, the value chain needs to perform as an integrated whole to support the fluctuating demand cycles and higher cost supply activities.
Human emotions are read and analyzed by voice, gesture, and face inputs. Emotion analytics is the examination of a person’s verbal and non-verbal communications in order to understand the mood and attitude based on seven universally accepted emotions – joy, surprise, anger, contempt, sadness, disgust, and fear.
Artificial intelligence: good and evil!
As we contemplate on AI’s dual nature, we’re still perplexed and confused. Is artificial doing justice? Of course, it is, reducing human manpower, reducing commute time, determination of prices on apps like Uber and Lyft, the spam filter, email categorization, Robo-readers, plagiarism checker, detecting fraud in transactions, face recognition in social media network (Facebook), online shopping. The list is never-ending.
Federal Trade Commission, in one of its statistics stated that identity theft complaints registered in the US reached 444,602 cases in the year 2018 from 398,952 cases in the year 2016. Additionally, the report also stated that registered fraud complaints reached 1,427,563 cases in the year 2018 from 1,226,402 cases in the year 2016.
The influence of Artificial Intelligence (AI) has spread across a wide range of industries, and the software development field is no exception. According to industry experts, AI and Machine Learning (ML) technologies will impact every aspect of the software development lifecycle. From requirement gathering to software implementation and troubleshooting, AI and ML benefit programming in multiple ways.
The Ural Science Education Center (USEC), backed by Roskosmos, has announced a new project. The USEC opened this year under a Kremlin directive and is expected to have 15 additional centers opened within the next six years across Russia. The project consists of creating a platform which will gather information about each user. It will gather each individual’s digital footprint— the trail of data you create while using the Internet. This includes the websites you visit, emails you send, and information you submit to online services.
Rostec showcased their new countermeasure complex for unmanned aerial vehicles– “Rubez-Avtomatka” prototype (translation: Frontier-Automation)– at the 2019 Dubai Airshow this week. The airshow is a biennial show held in the United Arab Emirates under the patronage of HH Sheikh Mohammed bin Rashid Al Maktoum. The airshow started in 1986. Rostec is a State Corporation for Assistance to Development, Production and Export of Advanced Technology Industrial Product. It is a Russian state-owned holding conglomerate headquartered in Moscow that specializes in consolidating strategically important companies, mainly in the defense and high-tech industries.
Artificial intelligence (AI) refers to the theory and development of computer systems capable of performing tasks that usually require human intelligence. AI involves the study and synthesis of intelligent agents—in this case, a computer system. AI applications process large volumes of data, and they require powerful processing capabilities outside. AI infrastructure enables superior data throughput and storage capacity, as well as large data workloads.
China’s Ministry of Industry and Information Technology announced that from December 2019, it will use facial recognition to control over 800 million mobile internet users. According to China’s laws, a person using any online service needs to be identified. There is no such thing as anonymity in China.
The chronology of the evolution of the Chinese totalitarian laws:
AI in Oil & Gas market is expected to grow from an estimated $1.57 billion in 2017 to $2.85 billion by 2022, at a CAGR of 12.66%, from 2017 to 2022. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs.
The business model of every business is different from others, the prospective clients and the future goals are unique to every company. There are always some common threats that are the same for every business like the threat of being defrauded by identity thieves. According to a report of Insurance Information Institute (III), three million identity theft and fraud reports were filled in 2018.
Artificial Intelligence and Cosmic Intelligence are widely used in Science as well as Spirituality. In Science, AI has discovered the classical theory and because of CI, the Quantum theory is evolved. In Spiritual world, AI is covered till we are under the grip of Prakriti or Shakti (energy); whereas, CI is achieved when we experience the functional aspects of Soul. The common platform for Science and Spirituality can be built by understanding mind (CI) or Prana or Energy (AI). This is because, both Science and Spirituality has the basic approach of Space (United of Mind) and energy (Prana or Unification of prevailing forces in the Universe).
The global artificial intelligence (AI) in healthcare market is primarily driven by the increasing usage of big data in healthcare sector and advantage of AI to improve the imbalance among the healthcare professionals and patients, augment patient outcomes and aid in clinical trial simulation and development process.
- Credit Cards: Providers are using Artificial Intelligence (AI) to make it easier to not just choose your rewards, but offer the rewards consumers want the most. In this drive for hyper-personalization of our rewards, artificial intelligence banking is benefiting all parties involved.
- Flavors: Artificial intelligence to create new flavors and products through a research collaboration as the use of artificial intelligence just might provide the key ingredients that make that next meal taste better.
- Global Artificial Intelligence Market to Exhibit 36.10% CAGR. Huge leaps of progress that robotics is making nowadays is a crucial turning point from a developmental perspective in the artificial intelligence market worldwide with a reduction of operational cost.
- Healthcare Artificial Intelligence startups have raised $4.3 billion across 576 funding rounds in the last five years – more than any other sector. AI has the potential to serve as a natural partner for medical researchers and professionals who spend careers combing through records to uncover trends and anomalies.
- Artificial Intelligence predicts Alzheimer’s years before diagnosis. The algorithm achieved 100 percent sensitivity at detecting the disease an average of more than six years prior to the final diagnosis.
- In the future AI may ultimately create more jobs than it displaces. By offering new tools for entrepreneurs, it may also create new lines of business that we can’t imagine now.
- Elon Musk called AI humanity’s “biggest existential threat” and compared it to “summoning the demon…As AI gets probably much smarter than humans, the relative intelligence ratio is probably similar to that between a person and a cat, maybe bigger.”
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