Table of Contents
Hey Guys,
I wanted to present some curated links about A.I. in case you have an obsession like I do to follow some of the best related stories from around the Web.
If you enjoy articles about A.I. at the intersection of breaking news join AiSupremacy here. I cannot continue to write without community support. (follow the link below).
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AiSupremacy is a Newsletter at the intersection of A.I. and breaking news. You can keep up to date with the articles here.
Note that on LinkedIn the button links just look like regular links, which is not as neat looking. This represents about 1 month of A.I. News curated in one single article. I don’t even want to think about how many hours that took me to organize.
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Artificial Intelligence Survey takes a variety of the best stories from around the web on A.I. and organizes them in a tl;dr easy reading fashion for a bite sized Newsletter for today’s busy professional.
If you want to get these tl;dr bite sized updates (such as in this article) you can do so by following my Newsletter Artificial Intelligence Survey, it’s all about the intersection of A.I. and News.
Artificial Intelligence Survey
You can also subscribe to it here if you want to show me support in my various endeavors.
So what will follow are the last few editions of A.I. Survey with curated links from the web. This is intended for your weekend reading during the weekend of March 12th and 13th.
So Let’s get into it:
ML OPS IS A MESS BUT THAT’S TO BE EXPECTED IN 2022?
Today machine learning continues to be one of the most talked about and touted technology waves, promising to revolutionize every corner of society.
And yet the ecosystem is in a frenzied state. You invest in a good education but then realize the daunting challenge and the pace of change in the industry.
CAN AI IMPACT THE FUTURE OF CORPORATE SOCIAL RESPONSIBLITY AND ANTI-CORRUPTION?
Artificial intelligence and corporate social responsibility can strengthen anti-corruption efforts. A Canadian perspective…
AI CAN HELP HISTORIANS AND ARCHAEOLOGISTS RESTORE ANCIENT TEXTS
An AI tool developed by DeepMind can help historians restore ancient Greek texts with 72 percent accuracy, and date inscriptions to within 30 years of their true age. AI can help historians restore ancient texts from damaged inscriptions
ALPHAFOLD, GPT-3 AND HOW TO AUGMENT INTELLIGENCE WITH AI
Around the same time that Alan Turing was shaping his theories of machine intelligence in Manchester, another future giant of the computing world, Douglas Engelbart, was developing an alternative computing paradigm over 5,000 miles away in the Bay Area… (a two part series).
Read part 2 here:
STRONG COMPUTE WANTS TO SPEED UP YOUR ML TRAINING
While there are companies that focus on optimizing the models themselves and Strong Compute (A Sydney based Startup) will also do that if its customers request it, Sand noted that this may compromise the results.
Training neural networks takes a lot of time, even with the fastest and costliest accelerators on the market. It’s maybe no surprise then that a number of startups are looking at how to speed up the process at the software level and remove some of the current bottlenecks in the training process.
WILL TRANSFORMER TAKE OVER A.I?
That versatile new hammer is a kind of artificial neural network — a network of nodes that “learn” how to do some task by training on existing data — called a transformer. It was originally designed to handle language, but has recently begun impacting other AI domains.
The transformer first appeared in 2017 in a paper that cryptically declared that “Attention Is All You Need.” In other approaches to AI, the system would first focus on local patches of input data and then build up to the whole. In a language model, for example, nearby words would first get grouped together. The transformer, by contrast, runs processes so that every element in the input data connects, or pays attention, to every other element.
WHO ARE THE 10 MOST INNOVATIVE COMPANIES IN AI IN 2022?
Once a sexy buzzword, artificial intelligence is rapidly morphing into something far more valuable: an everyday reality that quietly improves experiences of all sorts. That’s reflected in our roster of the most innovative companies in AI for 2022. Many of them have been at it for a while, and their efforts reflect evolution as much as revolution.
IS DEEP-LEARNING HITTING A WALL?
Few fields have been more filled with hype and bravado than artificial intelligence. It has flitted from fad to fad decade by decade, always promising the moon, and only occasionally delivering. One minute it was expert systems, next it was Bayesian networks, and then Support Vector Machines. In 2011, it was IBM’s Watson, once pitched as a revolution in medicine, more recently sold for parts. 3 Nowadays, and in fact ever since 2012, the flavor of choice has been deep learning, the multibillion-dollar technique that drives so much of contemporary AI.
CAN MACHINE-LEARNING OVERCOME BIASED DATASETS?
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.
Artificial intelligence systems may be able to complete tasks quickly, but that doesn’t mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice.
BAIDU’S TECH IS NEARLY READY TO DITCH HUMAN DRIVERS
Baidu’s autonomous driving chief wants robotaxis to ditch human drivers, but regulatory hurdles are steep. Baidu’s Wei Dong says the company is working with regulators to amend regulations to allow robotaxis on the streets without someone behind the wheel. China is expected to reach scale before Waymo and others at doing this.
The internet search giant sees this as key to the commercial viability of robotaxis, which Baidu offers at a steep discount in select pilot zones around China.
WHAT IS THE NEW STARTUP INFLECTION A.I?
Headquartered in Silicon Valley, Inflection will aim to develop AI software products that make it easier for humans to communicate with computers.
LinkedIn billionaire Reid Hoffman has co-founded a new artificial intelligence start-up called Inflection AI with DeepMind co-founder Mustafa Suleyman and former DeepMind researcher Karén Simonyan.
AI IS STARTING TO IMPACT MATH PROBLEMS
A new computer program fashioned after artificial intelligence systems like AlphaGo has solved several open problems in combinatorics and graph theory.
“I just saw all these articles about these companies like DeepMind, for example, that have created these programs that can play chess, Go, and Atari games at really superhuman levels,” Wagner said. “I thought, how nice would it be if you could somehow use these self-learning algorithms, these reinforcement learning algorithms, and find a way to use them in mathematics as well?”
THE WEIRD AND WONDERFUL WORLD OF AI ART
The world of Artificial-Intelligence generated art has exploded over the last twelve months. In January 2021, OpenAI released two models that changed the game: DALL-E and CLIP. These models showed what might be possible by generating visual art from text-based prompts.
PhD. student at Cornell University
About My Work
Did you know, I also run other related Newsletters? The front page of my Newsletters are small treasure droves of articles now.
Or, if you want to see all the articles in this series of Newsletters go to the main page here. The sample size is currently modest.
Artificial Intelligence Survey
To my knowledge, I’m among just a handful of indie media startups developing multiple Newsletters simultaneously. This is my only gig, I’m trying to actually make a living $ on this!
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RANDOM TIDBITS
Will we be getting attached to A.I. in the future?
- World’s first impact assessment tool for AI in healthcare: One way to mitigate these risks is to conduct an AIA prior to the design and development of an AI system. An AIA is a tool used to assess the possible societal impacts of an AI system before the system is in use (although ongoing monitoring of the system is advised).
THE EVOLUTION OF TRANSFORMS SPEEDS AHEAD
If Gen Z believes they can network effectively without ever meeting in person, and people are comfortable using robots to inform their professional development, maybe it’s finally time for hiring managers to let AI take over when it comes to asking interview questions?
PUBLISHED SAT, MAR 6 2022 10:00 AM EST
And so it begins…
IN THE METAVERSE RESPONSIBLE AI MUST BE A PRIORITY
According to a recent Bloomberg Intelligence report, the metaverse is an $800 billion market. J.P Morgan says its actually closer to $1 Trillion. Still others argue about what the metaverse actually is, but with so much money and curiosity surrounding it, it has everyone talking. Undoubtedly, AI will play a huge role in the metaverse, especially as we communicate with others.
MICROSOFT COMPLETES ACQUISITION OF NUANCE
After almost a year since the deal was announced, Microsoft has completed its purchase of Nuance. Microsoft has completed its $19.7 billion of Nuance, a company that specializes in artificial intelligence. Nuance helped Apple create Siri, but it is more known today for its use of AI in the medical industry.
THE PROBLEM OF AI REGULATION
As AI is rapidly developing, a robust government-led industry self-regulation regime should be put in place. How do you build responsible AI regulation in today’s world? AI-based technologies are evolving at a breakneck pace, with “an above average number of technologies on the Hype Cycle (see Figure 1) reaching mainstream adoption within two to five years,” according to Gartner.
The extremely fast-evolving nature of the AI-innovation landscape strongly disfavours any anticipatory recognition of a finite set of distinct use-cases and the universe of associated risks and benefits associated with their adoption, in a timely and accurate manner. A.I. may be evolving too fast to regulate.
TOP EMERGING MACHINE LEARNING TRENDS of 2022
Machine learning creates algorithms that support machines in better comprehending data and making data-driven judgments. According to some observers, machine learning will become quite widespread by 2024, with the most emphasis in 2022 and 2023.
Machine learning (ML) applications can be found in a variety of industries, including banks, restaurants, industrial plants, and even gas stations. When it comes to machine learning technology, here are some of the upcoming machine-learning trends in the year 2022 and beyond are: (a generic but concise list).
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WHAT IS RELICV2 BY UC BERKELEY ?
A DeepMind research team proposes ReLICv2, which demonstrates for the first time that representations learned without labels can consistently outperform a strong, supervised baseline on ImageNet and even achieve comparable results to state-of-the-art self-supervised vision transformers (ViTs). In the presence of extrinsic rewards, Deep Reinforcement Learning (RL) is a strong strategy for tackling complex control tasks.
DEEP LEARNING NEURAL NETS GET CONSTRAINED REWEIGHTING
Over the past several years, deep neural networks (DNNs) have been quite successful in driving impressive performance gains in several real-world applications, from image recognition to genomics. However, modern DNNs often have far more trainable model parameters than the number of training examples and the resulting overparameterized networks can easily overfit to noisy or corrupted labels (i.e., examples that are assigned a wrong class label).
AI AND THE ORIGINS OF LIFE
How artificial intelligence can help us figure out how life began. How inanimate molecules first arranged themselves into life is one of the great mysteries. The answer could lie in a systematic exploration of chemical space.
IS THE SINGULARITY REALLY NEAR?
Experts say the future of AI is uncertain, but it wouldn’t hurt to prepare for the possibility of singularity. Should and how can we prepare for a technological singularity? Apparently, a significant chunk of researchers think there’s at least a 50 percent chance that some people alive today will live to see an AI singularity. Shockingly some supposedly even expect it within the next decade.
Artificial intelligence predicts algae potential as alternative energy source. How is this possible? Texas A&M AgriLife Research scientists are using artificial intelligence to set a new world record for producing algae as a reliable, economic source for biofuel that can be used as an alternative fuel source for jet aircraft and other transportation needs.
Luminous Computing, which is developing a light-based AI accelerator chip, raises $105M. Photonic chips could, in theory, lead to higher performance because light produces less heat than electricity, can travel faster, and is less susceptible to changes in temperature and electromagnetic fields.
RANDOM TIDBITS
CEREBRAS SHOWS OFF SCALE UP AI PERFORMANCE FOR BIG PHARMA AND BIG OIL
The CS-2 system was announced back in April 2021, and it based on the second generation of Wafer Scale Engines that Cerebras has put into the field. As the name implies, with the WSE, Cerebras is making the largest single processing/memory unit that it can fit onto a 300 millimeter wafer. The WSE-2 has 2.6 trillion transistors on it with 850,000 cores and a total of 40 GB of SRAM memory that is extremely local to those cores, with a total of 220 Pb/sec of bandwidth across the 2D mesh that links the cores and memories together.
AI PAPERS TO READ IN 2022 (Medium Paywall)
Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science. The author writes: My older readers should recall the first, second, and third lists. Now, nearly two years after, comes the fourth installment. This is a pretty opinionated list for those new to the series, and you might not agree with everything.
TOP RESOURCES TO LEARN REINFORCEMENT LEARNING
Artificial Intelligence: Reinforcement Learning in Python is a complete guide to reinforcement learning with stock trading and online advertising applications. A reinforcement learning agent can perceive and interpret its environment, take actions and learn through trial and error. Reinforcement learning is largely used in autonomous driving, automated cooling for data centres, recommendation engines, personalised chatbots, stock trading etc.
Machine learning can help read the language of life, so says Google in its latest blog. Recently, DeepMind showed that AlphaFold can predict the shape of protein machinery with unprecedented accuracy. DNA is the language of life: our DNA forms a living record of things that went well for our ancestors, and things that didn’t. DNA tells our body (and every other organism) which proteins to produce; these proteins are tiny machines that carry out enormous tasks…
ENTERPRISE AI TRENDS OF 2022
10 enterprise AI trends for 2022. Enterprise AI is maturing quickly, with companies shifting to business-first AI strategies and AI benefits being sought out across the organization.
WHAT IS TORCHREC?
Pytorch Introduces ‘TorchRec’: A Python-based PyTorch Domain Library For Recommendation Systems (RecSys)
Recommendation Systems (RecSys) are a big part of today’s production-ready AI, although you wouldn’t know it from glancing at Github. In contrast to domains like Vision and NLP, most of RecSys’ continuous discovery and development takes place behind closed doors. The field is far from democratized for academic researchers exploring these approaches or creating individualized user experiences.
RecSys as a field is also defined by learning models over sparse and/or sequential events, which has a lot of overlap with other AI fields. Many of the approaches, particularly those for scalability and distributed execution, are portable. RecSys approaches account for a significant amount of worldwide AI investment; therefore, enclosing them prevents this money from moving into the larger AI field.
TorchRec is a new PyTorch domain library for Recommendation Systems. This library includes standard sparsity and parallelism primitives, allowing researchers to create and implement cutting-edge customization models.
Github: https://github.com/pytorch/torchrec
WHAT IS THE MARKET SIZE OF THE AI OF HEALTHCARE MARKET?
Healthcare Artificial Intelligence Market refers to the applicability of artificial intelligence technology in various domains related to the healthcare industry. Healthcare is a concern of every individual irrespective of age. Artificial intelligence solutions are mainly used by pharmaceutical or biopharmaceutical companies.
AI’S MASSIVE SECURITY RISK
Techniques to fool AI with hidden triggers are outpacing defenses – study. Such a fast-expanding market is prone to attract the attention of threat actors, who can interfere in the training process of an AI model to embed hidden features or triggers in the DNNs – a trojan horse for machine learning, if you will.
EXPERTS WARN OF AI-GENERATED CONTENT RISKS
Experts at the Copenhagen Institute for Future Studies (CIFS) are raising questions about AI-generated content, and how it could come to dominate the metaverse and other digital locations. CIFS expert Timothy Shoup estimates that 99 percent to 99.9 percent of the internet’s content will be AI-generated by 2025 to 2030, especially if models like OpenAI’s GPT-3 achieve wider adoption.
WHAT WOULD AGI ‘AWAKENING’ ACTUALLY BE LIKE?
According to surveys, approximately half of artificial intelligence experts believe that general AI will emerge by 2060. Mind of its own: Will “general AI” be like an alien invasion?
HOW CAN AI HELP FARMERS?
Artificial intelligence to help farmers see cloud-covered fields. A Cornish start-up has developed a technique using artificial intelligence to predict what the surface of the UK looks like under gloomy skies. The satellite technology is being targeted at the agricultural sector to help farmers better manage their crops. Cloud too often prevents them from seeing the ground to know where and when to sow seed or apply fertiliser.
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BUILDERBOT HERALDS POTENTIAL FOR META’S VISION OF THE METAVERSE
While voice search has been slow to catch on, it is growing among young mobile users. So how about building in VR worlds? Meta introduces BuilderBot, a new tool to fuel creativity in the metaverse using voice commands. The AI labs of Meta are already making advancements in research and development as part of a long-term effort to enable the next era of computing. Meta introduces a new tool fueling creativity in the metaverse: BuilderBot that enables people to generate or import things into a virtual world just by using voice commands.
AI ETHICS AND THE AI ARMS RACE
Many hail it as a chance for a fundamental upgrade to human civilization. Some believe it can take us down a dangerous path, potentially arming governments with dangerous Orwellian surveillance and mass control capabilities.
We have to remember that any technology is only as ‘good’ or ‘bad’ as the people who use it.
HOW WILL WE TOLERATE SEXISM IN AI LEADERSHIP?
When the board of directors at artificial intelligence software startup DataRobot pushed out its CEO last March, they did so partly because the executive, Jeremy Achin, feuded with his sales teams and resisted the idea of taking the company public. But board members also hoped a change would foster a more welcoming environment for women, according to Chris Lynch, the first investor in DataRobot and chair of its board
DataRobot, a $6 Billion AI Startup, Fired Executives After Complaints About Sexist Culture. Is this a new precedent regarding toxic sexist cultures in technology?
CAN AI LEAD TO A CLEAN ENERGY BREAKTHROUGH
An AI system owned by Google has just “learned” how to control a magnetic field in a fusion reactor – and it could pave the way to generating limitless clean energy. DeepMind’s headline seems grandiose. A fusion reactor works in the opposite way, harvesting the energy released when two smaller atoms join together, releasing tiny, fast-moving particles smaller than atoms. The reactors use a powerful magnetic field to confine plasma at extremely high temperatures – hundreds of millions of degrees Celsius, even hotter than the sun’s core – so that nuclear fusion can occur between hydrogen atoms.
About My Work
Did you know, I also run other related Newsletters? The front page of my Newsletters are small treasure droves of articles now.
Or, if you want to see all the articles in this series of Newsletters go to the main page here. The sample size is currently modest.
Artificial Intelligence Survey
RANDOM TIDBITS
- Who gets to decide if an AI is alive? Experts predict artificial intelligence will gain sentience within the next 100 years. Some predict it’ll happen sooner. Others say it’ll never happen. Still, other experts say it already has happened.
CANADA LAGGING BEHIND IN A.I
Once a promising leader, Canada’s artificial-intelligence strategy is now a fragmented laggard.
SEARCH FOR EXTRATERRESTRIAL LIFE
“Are we alone in the universe?” is one of humanity’s biggest questions. But now, some of the world’s top scientists and tech companies are setting out to answer an even bigger question: “Are we being visited?” Will artificial intelligence help us find evidence of UFOs?
AI AND SPECIES CONSERVATION
Artificial intelligence has been identified as one of the top three emerging technologies in conservation, helping protect species around the world. Five ways AI is saving wildlife – from counting chimps to locating whales.
ARTIFICIAL INTELLIGENCE AND CREATIVITY
Will Artificial intelligence change and challenges what it means to be creative?
AI AND COPYRIGHT – THE DEBATE CONTINUES
The US Copyright Office says an AI can’t copyright its art. Recently Steven Thaler’s AI-created image didn’t include an element of “human authorship” — a necessary standard, it said, for protection.
DEEPMIND TRAINS AI TO CONTROL COMPUTERS LIKE HUMANS DO
DeepMind trains agents to use keyboard and mouse commands with pixel and Document Object Model (DOM) observations to control computers, achieving state-of-the-art and human-level mean performance across all tasks on the MiniWob++ benchmark.
About My Work
Did you know, I also run other related Newsletters? The front page of my Newsletters are small treasure droves of articles now.
Or, if you want to see all the articles in this series of Newsletters go to the main page here. The sample size is currently modest.
Artificial Intelligence Survey
AI ASSISTANCE FOR ANESTHESIOLOGISTS
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
A new artificial intelligence advance could continuously monitor patient unconsciousness and commensurately optimize the dose of propofol, providing helpful assistance to the doctor.
AI IN CYBERSECURITY ACCELERATES INTO AN ARMS RACE
AI has already seen some early successes in cybersecurity. Increasingly, companies such as FireEye, Microsoft and Google are developing innovative AI approaches to detect malware, stymie phishing campaigns and monitor the spread of disinformation. The average business receives 10,000 alerts every day from the various software tools it uses to monitor for intruders, malware and other threats.
FACEBOOK’S AI CHIEF YANN LECUN SAYS SELF-SUPERVISED LEARNING CAN BUILD THE METAVERSE
Meta’s AI chief says self-supervised learning can build the metaverse and maybe even human-level AI. LeCun, VP and chief AI scientist of Meta (formerly Facebook), believes that the next AI revolution will come about when AI systems no longer require supervised learning. No longer will they rely on carefully labeled data sets that provide ground truth in order for them to gain an understanding of the world and perform their assigned tasks.
A.I. WILL POWER THE CREATOR ECONOMY
Neosapience gets $21.5M to use AI-powered synthetic avatars for creators. Artificial intelligence-powered voice and video technologies have been gaining steady popularity in recent years. A Korean startup called Neosapience has developed a synthetic voice and video platform, Typecast, that lets users turn text into a video without recording and editing in a studio.
A.I IS ENHANCING NEUROSURGEON TRAINING
Artificial intelligence tutoring outperforms expert instructors in neurosurgical training. Machine learning algorithms enhanced technical performance and learning outcomes during simulated brain tumor removal. The Neurosurgical Simulation and Artificial Intelligence Learning Centre at The Neuro (Montreal Neurological Institute-Hospital) recruited seventy medical students to perform virtual brain tumour removals on a neurosurgical simulator. Students were randomly assigned to receive instruction and feedback by either an AI tutor or a remote expert instructor, with a third control group receiving no instruction.
Shockingly, students who received VOA (An AI-powered tutor called the Virtual Operative Assistant) instruction and feedback learned surgical skills 2.6 times faster and achieved 36 per cent better performance compared to those who received instruction and feedback from remote instructors.
Additional coverage:
HOW BIG WILL ROBOT MARKET GET?
AI or artificial intelligence in robotics is the integration of AI technology with robots enabling them to more efficiently perform repetitive tasks without human intervention. AI also enables robots to establish communication with other robots and humans. For companies, robots are proving to be more efficient and at the same time a cheaper labor. Global Artificial Intelligence (AI) Robots Market to Reach $21.4 Billion by 2026.
A.I IN THE RESTAURANT INDUSTRY TOWARDS CLOUD KITCHENS
A Startup is developing a restaurant management platform using machine learning and computer vision technology for restaurants. Agot AI is a food-service-focused forerunner in the computer vision (AI) technology revolution that is reshaping industries worldwide.
The Pennsylvania-based company claims that it has created a solution that verifies order accuracy in real-time for online ordering and alerts personnel if an order has to be corrected. According to Market Study Report, the global restaurant management software industry is expected to grow about 15% annually to $6.95 billion by 2025. In 2021, 60% of Americans purchased takeout or delivery at least once every week, with 31% using a third-party delivery service.
DEEPMIND OPEN-SOURCES DM:21: A DEEP LEARNING MODEL FOR QUANTUM CHEMISTRY
Deepmind Open-sources ‘DM21’, a neural network model for mapping electron density to chemical interaction energy, a critical component of quantum mechanical modeling. DM21 outperforms standard models on various benchmarks, and it’s accessible as a PySCF simulation framework addition.
In a paper published in Science, the model was detailed. The energy density functional component of Density Functional Theory (DFT), which describes the quantum mechanical behavior of molecules, is approximated by DM21 using a neural network.
If you enjoy articles about A.I. at the intersection of breaking news join AiSupremacy here. I cannot continue to write without community support. (follow the link below).
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AiSupremacy is a Newsletter at the intersection of A.I. and breaking news. You can keep up to date with the articles here.
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