China leads in the AI patent race, making US’s move a strategic one affecting around 95% of China’s market
In a rather strategic move, the US ordered Nvidia, the leading chip designer to not export its AI chips to China. The company said that the US asked it not to export A100 and H100 chips, used for machine learning tasks and hardware meant for AI development. Nvidia speaking to Reuters said the US government wanted to prevent ‘military end use’ or ‘military end users’ in China. Though US authorities are tight-lipped about what criteria they follow for barring China from using its AI chips, without giving a specific reason, it said it is part of the review of China-related policies, to “keep advanced technologies out of the wrong hands.” Clearly, the announcement signals a major escalation in the US’s offensive strategy towards China putting the fate of Taiwan, a major chip-making center for global companies in danger.
Responding to the move, Chinese Foreign Ministry spokesperson Wang Wenbin observed that this US move represents its hegemony in suppressing China’s chance to dominate in the technological realm and it is not an isolated incidence. The recent move comes after a series of earlier moves to crack down on China’s advancing technology such as pulling down China’s telecom giant Huawei and SMIC a leading chip manufacturer, banning the export of ASML’s extreme ultraviolet lithography (EUV) and deep ultraviolet lithography (DUV) systems, apart from making South Korea, a strong ally of US to join its Chip 4 alliance under the recently enacted CHIPS Act.
“With its technological advantages, the US has time and again abused the concept of national security and its state power to crack down on the development of emerging economies and developing countries. The move violates market economy principles, harms international trade rules, and disrupts the stability of global industrial and supply chains,” he said. He blamed the US for politicizing, instrumentalizing, and weaponizing technology using its political power to impose a technological blockade, and disturbing global supply chains, which would eventually end up unsuccessful. Just after the announcement, Nvidia’s stock fell nearly 90% and it expects losses of around $400 million in revenue in the current quarter.
An industry that has kept a close connection with the supply chain, given its criticality in 5G applications, definitely, with the US’s step would be affected adversely. Semiconductor Manufacturing and Integrated Chips industry Compared to the previous move this comes as a disturbing one. Around 95% of China’s AI and chip manufacturing market belongs to Nvidia. Given the fact that China leads in AI and the 5G patent race, US’s move falls in the right place in taking over the leading place. Domestic markets though are advancing fast in the AI chip-making domain, the progress made by them so far is nothing compared to the amount of technology China imports. China is determined to speed up its chip-making ecosystem by channeling millions and billions of dollars, for which it made a special allocation in the recent five-year plan, particularly for the chip-making sector. With this crackdown, experts believe that China is only going to strengthen its domestic market, forging all the possible forward and backward connections to accelerate domestic replacement. “For example, Chinese companies used to purchase most of the front-end defect inspection tools from US firm KLA, which accounts for about half of global market share, some domestic firms have now released self-developed prototype machines and some have been producing the tool in a small quantity,” said Han Xiaomin, general manager of domestic leading IC industry consulting firm JW Insights. In hindsight, the US ban and its practice of putting barriers on the semiconductor industry, in general, is definitely going to affect China’s artificial intelligence and supercomputing dreams. However, experts who have faith in China’s resilience say it can bounce back provided it makes the right moves.
The post Can US Chip Ban Jeopardize China’s AI and Supercomputer Dreams? appeared first on Analytics Insight.
Top 10 AI Universities Leading In Research And Innovation In 2023
Here are the top 10 AI universities engaged in research and innovation in 2023
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. AI research is the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. A professional degree in AI from a reputed university will help you get started in this AI industry. It has signified a great number of developing technologies including robotics, IoT, and big data. Here are the top 10 AI universities engaged in research and innovation in 2023.
Harvard University opened the Lawrence Scientific School as its first formal effort to provide higher-level education in engineering and the sciences. Under the category of Computer Science, Artificial Intelligence and the subsets of Computational Linguistics, Machine Learning, Multi-agent Systems, and Robotics, are researched in detail by various faculty members.
Standford University ranks #2 on Nature’s Index for top academic institutions in AI. The Stanford Artificial Intelligence Laboratory is set up to advance knowledge and foster learning. The lab team is always working on new AI research projects like the MetaMorph model and task-specific fine-tuning for robotics.
Carnegie Mellon University:
Carnegie Mellon University is frequently heard of in the AI research community. CMU’s research leads in upcoming AI concepts of self-driving cars, speech recognition, advanced sensor design, facial recognition software, and more. CMU has worked on several projects, including five interactive maps, etc.
The Massachusetts Institute of Technology is known for its MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the lab has housed some of the top researchers and won several awards, and mentored leaders that have gone ahead to create notable innovations.
University of California Berkeley:
UC Berkeley is consistently ranked among the five top research universities globally with an AI research unit. The Berkeley Artificial Intelligence Centre lab includes ML, NLP, planning, control, and robotics.
Cornell University is ranked fourth in the world for research in engineering. Cornell’s research is conducted in several areas like robotics, NLP, vision, ML, and interdisciplinary topics related to AI.
Vellore Insititute of Technology:
The school of computer science at Vellore Insititute of Technology has more than 1500 publications. It aims to further apply research in computer science and offers Ph.D. courses. The team of VIT students and alumni worked on the prevalent XOR problem and found a solution.
Indian Institute of Technology, Bombay:
The IIT Bombay research lab, Center for Indian Language Technology, the department offers Ph.D. programs in computer science and is one of the most well-known for its AI research. The latest research like Breaking the trial-and-error loop in Material Design through Machine Learning and ‘Computational techniques to measure small amounts of soot.
Indian Institute of Technology, Delhi:
IIT-D is among the top five IITs and encourages AI research in India. The university opened the School of Artificial Intelligence center for Ph.D. programs to multiply research productivity. IIT-D also houses a research group, Data Analytics & Intelligence Research, to build AI applications for India.
Indian Institute of Technology, Madras:
IIT-M has developed Ai4Bharat, an NLP model to process eleven regional languages, and the Robert Bosch Centre for Data Science and Artificial Intelligence was introduced to further AI research. The research applications focus on addressing Indian issues and leveraging AI for local, vernacular, healthcare, and agricultural problems.
The post Top 10 AI Universities Leading in Research and Innovation in 2023 appeared first on Analytics Insight.
DCNN’s Vision Incapability Could Put Real-World AI Apps In Danger
AI is currently facing several complex challenges that might jeopardize the existing models
Artificial intelligence has become the largest innovation that the tech industry has ever witnessed. The innovation and research directed by AI are aiding global industries like healthcare, retail, and finance toward advancements. Even though evolving technology has become an important element in business development, AI is bringing new perspectives to the global entrepreneurial paradigm with its avant-garde approaches. AI applications and models are being deployed by some of the major tech companies in the world like Amazon, Apple, Facebook, and IBM. These companies constantly evolve their AI integration pipeline based on the evolving tech landscape. AI’s most important and gradually advancing branch is deep learning since the importance of convolutional neural networks has become quite evident to business leaders.
The growing demand for deep neural networks and deep convolutional neural networks has forced researchers and scientists to advance their prospects. But unfortunately, after several rapid advancements, convolutional deep neural networks or DCNNs still do not possess the same accuracy as humans do, and since AI is literally supposed to automate and perform tasks for humans, AI neural networks need accuracy and efficiency to imitate human intelligence. According to recent reports, DCNNs do not envision objects the way humans do and this could prove to be quite dangerous for the AI applications that are already being deployed in projects.
Deep Convolutional Neural Networks have Failed to Attain Sensitivity like Humans
In a collaborative study conducted by Elder, from York Research Chair in Human and Computer Vision and the Co-Director of York’s Centre for AI and Society, and Assistant Psychology professor Nicholas Baker from Loyola College in Chicago explores how human brains and DCNNs react to ‘Frankensteins’, a novel visual stimuli. Frankensteins are basically simple objects that have been taken apart and put back together, in the wrong way. Generally, when presented with a Frankenstein object, humans get confused, whereas, DCNNs do not reveal any insensitivity to these configural object properties.
The researchers claimed that the streamlining of these AI models has failed under certain critical conditions and clearly demonstrate that AI development should focus more on tasks beyond object recognition. Apparently, these models use “shortcuts” while solving complex recognition tasks. Sometimes these shortcuts work, based on several cases, but unfortunately, these might become quite dangerous when it comes to real-world AI applications that the industry and government are currently using.
Based on the predicaments released by researchers, modifications to the training and architecture of AI models can make these neural network projects act more as the human brain would usually do. They speculate that to accurately match human configural sensitivity, all networks should be trained to solve a broader range of cutting-edge tasks which goes beyond object recognition. In a nutshell, these are the basic shortcomings that AI researchers should work on overcoming. AI is not just a technology that can be used to automate complex human tasks, it was innovated for human intelligence, it might sound dangerous, but scientists should now focus on meeting complex challenges to successfully attain these goals.
The post DCNN’s Vision Incapability Could Put Real-World AI Apps in Danger appeared first on Analytics Insight.
AI Is Not Just Your Best Friend But Is A Mirror To Your Soul
Psychologists say that the growing involvement of AI and the adjoining digital technologies has stunted the mental growth of today’s youth. Young people, who were earlier connected with each other socially and physically are now only connected digitally, indicating high reports of loneliness. The depression rate is higher among teenagers and millennials who spend a massive amount of working towards building a career and only focus on digital interaction. But the actual debate is that since AI is the problem, AI is also the solution.
The emergence of AI friends or AI companions has truly changed the dynamics of friendship and social interaction. But these AI friend applications are not just your friends, but are a mirror to your soul. Users get permission to customize the AI avatar to whoever and however, they like. AI companions reassure users by asking questions about how they are as if they are really interested and always try to give an answer that fits into the context of the conversation.
We can take the Replica AI application, for example. It’s a personalized chatbot that learns to replicate the text patterns and personality of the user who created it, almost like a best friend, who is always on point. Replika provides investors with the ability to choose personality traits, and interests, and change the nature of the relationship like friend, girlfriend, mother, sister, and mentor. Users can also give a realistic-seeming voice call to their Replica buddy. Well, the whole concept of Replica truly reflects that AI friends are just proper mirrors to what the soul actually wants, with only minor room for error.
The post AI is Not Just Your Best Friend but is a Mirror to Your Soul appeared first on Analytics Insight.
Sleuth Discovers Satoshi’s Long-Lost Bitcoin Version 0.1 Codebase, Raw Code Contains Bitcoin Inventor’s Never-Before-Seen Personal Notations
On October 7, 2022, a bitcoin supporter named Jim Blasko explained that he discovered the oldest upload of Bitcoin’s version...
Bankruptcy Court Publishes 14,000 Pages Of Celsius Customer Usernames And Trade History
The crypto community is upset about a recent discovery stemming from the Celsius bankruptcy case as a court filing has...
Chiliz [CHZ] on-chain metrics to consider before going long this week
CHZ is among the cryptocurrencies that have delivered the most gains recovering from June lows. It just concluded a 25%...
EU Bans Crypto Services For Russians In New Sanctions Over Ukraine Escalation
An array of crypto-related services have been targeted in the latest round of sanctions on Russia approved by the EU....
The Hideaways Confirms Another Price Rise! Will Dogecoin Explode In 2023? Will LUNA Explode In 2023? We Take A Look At All 3 Projects.
The weekend was good so far for Dogecoin (DOGE) holders as DOGE price surged to make a new weekly high....
Why This Coin Is Still Attracting Terra (LUNA) And LUNA Classic (LUNC) Investors
Over the last few weeks, the performance of the Terra (LUNA) and LUNA Classic (LUNC) coins has been very volatile....
Will This Coin Be The Ethereum (ETH) And Ripple (XRP) Killer? Read More
If you have been around the crypto market for a while now, you must have come across Bitgert (BRISE). The...
Artificial Intelligence Market Size To Reach US$407 Billion By 2027
The artificial intelligence market size is driven by big data, cloud applications, and services Artificial Intelligence is inarguably the most...
Court filing ‘doxing’ Celsius users draws questions on KYC, bankruptcy processes
Court filing ‘doxing’ Celsius users draws questions on KYC, bankruptcy processes Samuel Wan · 26 seconds ago · 2 min...
Best New Crypto To Invest In? The Hideaways Up 450% And Going Strong As LUNA And LUNC Drop
LUNA and LUNC’s prices surged again recently, creating new weekly highs before the market experienced a pullback. Investors have been...
Mortgage Interest Rates Today, October 7, 2022 | Rates Go Up
Advertiser Disclosure Jason Stauffer Jason Stauffer Staff WriterAdvertisement Jason Stauffer is a personal finance reporter who previously covered the housing...
Binance resumes BSC bridge operation after 2M BNB exploit
Binance resumes BSC bridge operation after 2M BNB exploit Christian Nwobodo · 41 mins ago · 2 min read The...
Crypto Exchange Okx Blocked By Russia’s Telecom Watchdog
Russian media and communications regulator, Roskomnadzor, has restricted access to the website of a major cryptocurrency exchange, Okx. The trading...
Grifters rug over 60 ETH from spoof token created after Binance exploit
Grifters rug over 60 ETH from spoof token created after Binance exploit Oluwapelumi Adejumo · 3 hours ago · 2...
CryptoSlate Daily wMarket Update – Oct. 6: Market turns red as BTC dips below $20,000
CryptoSlate Daily wMarket Update – Oct. 6: Market turns red as BTC dips below $20,000 Monika Ghosh · 3 hours...
Scammers Are Targeting Cryptocurrency Scam Sites To Hijack Their Targeted Audience
Cryptocurrency scam sites are being targeted by other scammers to hijack their traffic and their possible earnings. A recently detected...
Fully funded Chevening Clore Leadership Scholarship 2023/2
A Fully funded Chevening Clore Leadership Scholarship 2023 is currently ongoing for qualified international students. This scholarship programme is aimed...
Fidelity Launches Ethereum Index Fund — Sees Client ‘Demand For Exposure To Digital Assets Beyond BTC’
A filing with the U.S. Securities and Exchange Commission has shown that Fidelity looks to launch an investment product known...
Wells4 days ago
Wells Fargo Savings And CD Rates Are On Par With Other Large National Banks — Very Low. These Options Can Help You Earn More
Altcoins5 days ago
Assessing the hype around LUNC if Coinbase, Robinhood listings go through
Fintech6 days ago
US Tennis Player Serena Williams’ VC Firm Leads Ugandan Fintech’s $12.3 Million Pre-Series A Funding Round
Celsius investors5 days ago
Celsius: A look into the crypto lender’s ex-CEO may solve the bankruptcy puzzle
Altcoins4 days ago
ETC investors on the fence will be pleased to read this about the altcoin
Altcoins5 days ago
Buyer confidence wanes as Axie Infinity [AXS] drops below $13
Doctoral Scholarship6 days ago
The University Of Tokyo Scholarship In Japan 2023 | Fully Funded
Ethereum5 days ago
Ethereum’s post-Merge blues: Will ETH finally be able to get out of it?