Mediaboss Marketing

Todays artificial intelligence is as self-aware as a paper clip. Despite the hypesuch as a Google engineers bizarre claim that his companys AI system had come to life and Tesla CEO Elon Musks tweet predicting that computers will have human intelligence by 2029the technology still fails at simple everyday tasks. That includes driving vehicles, especially when confronted by unexpected circumstances that require even the tiniest shred of human intuition or thinking.

The sensationalism surrounding AI is not surprising, considering that Musk himself had warned that the technology could become humanitys biggest existential threat if governments dont regulate it. But whether or not computers ever attain human-like intelligence, the world has already summoned a different, equally destructive AI demon: Precisely because todays AI is little more than a brute, unintelligent system for automating decisions using algorithms and other technologies that crunch superhuman amounts of data, its widespread use by governments and companies to surveil public spaces, monitor social media, create deepfakes, and unleash autonomous lethal weapons has become dangerous to humanity.

Compounding the danger is the lack of any AI regulation. Instead, unaccountable technology conglomerates, such as Google and Meta, have assumed the roles of judge and jury in all things AI. They are silencing dissenting voices, including their own engineers who warn of the dangers.

Todays artificial intelligence is as self-aware as a paper clip. Despite the hypesuch as a Google engineers bizarre claim that his companys AI system had come to life and Tesla CEO Elon Musks tweet predicting that computers will have human intelligence by 2029the technology still fails at simple everyday tasks. That includes driving vehicles, especially when confronted by unexpected circumstances that require even the tiniest shred of human intuition or thinking.

The sensationalism surrounding AI is not surprising, considering that Musk himself had warned that the technology could become humanitys biggest existential threat if governments dont regulate it. But whether or not computers ever attain human-like intelligence, the world has already summoned a different, equally destructive AI demon: Precisely because todays AI is little more than a brute, unintelligent system for automating decisions using algorithms and other technologies that crunch superhuman amounts of data, its widespread use by governments and companies to surveil public spaces, monitor social media, create deepfakes, and unleash autonomous lethal weapons has become dangerous to humanity.

Compounding the danger is the lack of any AI regulation. Instead, unaccountable technology conglomerates, such as Google and Meta, have assumed the roles of judge and jury in all things AI. They are silencing dissenting voices, including their own engineers who warn of the dangers.

The worlds failure to rein in the demon of AIor rather, the crude technologies masquerading as suchshould serve to be a profound warning. There is an even more powerful emerging technology with the potential to wreak havoc, especially if it is combined with AI: quantum computing. We urgently need to understand this technologys potential impact, regulate it, and prevent it from getting into the wrong hands before it is too late. The world must not repeat the mistakes it made by refusing to regulate AI.

Although still in its infancy, quantum computing operates on a very different basis from todays semiconductor-based computers. If the various projects being pursued around the world succeed, these machines will be immensely powerful, performing tasks in seconds that would takeconventional computersmillions of years to conduct.

Semiconductors represent information as a series of 1s and 0sthats why we call it digital technology. Quantum computers, on the other hand, use a unit of computing called a qubit. A qubit can hold values of 1 and 0 simultaneously by incorporating a counterintuitive property in quantum physics called superposition. (If you find this confusing, youre in good companyit can be hard to grasp even for experienced engineers.) Thus, two qubits could represent the sequences 1-0, 1-1, 0-1, and 0-0, all in parallel and all at the same instant. That allows a vast increase in computing power, which grows exponentially with each additional qubit.

If quantum physics leaves the experimental stage and makes it into everyday applications, it will find many uses and change many aspects of life. With their power to quickly crunch immense amounts of data that would overwhelm any of todays systems, quantum computers could potentially enable better weather forecasting, financial analysis, logistics planning, space research, and drug discovery. Some actors will very likely use them for nefarious purposes, compromising bank records, private communications, and passwords on every digital computer in the world. Todays cryptography encodes data in large combinations of numbers that are impossible to crack within a reasonable time using classic digital technology. But quantum computerstaking advantage of quantum mechanical phenomena, such as superposition, entanglement, and uncertaintymay potentially be able to try out combinations so rapidly that they could crack encryptions by brute force almost instantaneously.

To be clear, quantum computing is still in an embryonic stagethough where, exactly, we can only guess. Because of the technologys immense potential power and revolutionary applications, quantum computing projects are likely part of defense and other government research already. This kind of research is shrouded in secrecy, and there are a lot of claims and speculation about milestones being reached. China, France, Russia, Germany, the Netherlands, Britain, Canada, and India are known to be pursuing projects. In the United States, contenders include IBM, Google, Intel, and Microsoft as well as various start-ups, defense contractors, and universities.

Despite the lack of publicity, there have been credible demonstrations of some basic applications, including quantum sensors able to detect and measure electromagnetic signals. One such sensor was used to precisely measure Earths magnetic field from the International Space Station.

In another experiment, Dutch researchers teleported quantum information across a rudimentary quantum communication network. Instead of using conventional optical fibers, the scientists used three small quantum processors to instantly transfer quantum bits from a sender to a receiver. These experiments havent shown practical applications yet, but they could lay the groundwork for a future quantum internet, where quantum data can be securely transported across a network of quantum computers faster than the speed of light. So far, thats only been possible in the realm of science fiction.

The Biden administration considers the risk of losing the quantum computing race imminent and dire enough that it issued two presidential directives in May: one to place theNational Quantum Initiativeadvisory committee directly under the authority of the White House and another to direct government agencies to ensure U.S. leadership in quantum computing while mitigating the potential security risks quantum computing poses to cryptographic systems.

Experiments are also working to combine quantum computing with AI to transcend traditional computers limits. Today, large machine-learning models take months to train on digital computers because of the vast number of calculations that must be performedOpenAIs GPT-3, for example, has 175 billion parameters. When these models grow into the trillions of parametersa requirement for todays dumb AI to become smartthey will take even longer to train. Quantum computers could greatly accelerate this process while also using less energy and space. In March 2020, Google launched TensorFlow Quantum, one of the first quantum-AI hybrid platforms that takes the search for patterns and anomalies in huge amounts of data to the next level.Combined with quantum computing, AI could, in theory, lead to even more revolutionary outcomes than the AI sentience that critics have been warning about.

Given the potential scope and capabilities of quantum technology, it is absolutely crucial not to repeat the mistakes made with AIwhere regulatory failure has given the world algorithmic bias that hypercharges human prejudices, social media that favors conspiracy theories, and attacks on the institutions of democracy fueled by AI-generated fake news and social media posts. The dangers lie in the machines ability to make decisions autonomously, with flaws in the computer code resulting in unanticipated, often detrimental, outcomes. In 2021, the quantum community issued a call for action to urgently address these concerns. In addition, critical public and private intellectual property on quantum-enabling technologies must be protected from theft and abuse by the United States adversaries.

There are national defense issues involved as well. In security technology circles, the holy grail is whats called a cryptanalytically relevant quantum computera system capable of breaking much of the public-key cryptography that digital systems around the world use, which would enable blockchain cracking, for example. Thats a very dangerous capability to have in the hands of an adversarial regime.

Experts warn that China appears to have a lead in various areas of quantum technology, such as quantum networks and quantum processors. Two of the worlds most powerful quantum computers were built in China, and as far back as 2017, scientists at the University of Science and Technology of China in Hefei built the worlds first quantum communication network using advanced satellites. To be sure, these publicly disclosed projects are scientific machines to prove the concept, with relatively little bearing on the future viability of quantum computing. However, knowing that all governments are pursuing the technology simply to prevent an adversary from being first, these Chinese successes could well indicate an advantage over the United States and the rest of the West.

Beyond accelerating research, targeted controls on developers, users, and exports should therefore be implemented without delay. Patents, trade secrets, and related intellectual property rights should be tightly secureda return to the kind of technology control that was a major element of security policy during the Cold War. The revolutionary potential of quantum computing raises the risks associated with intellectual property theft by China and other countries to a new level.

Finally, to avoid the ethical problems that went so horribly wrong with AI and machine learning, democratic nations need to institute controls that both correspond to the power of the technology as well as respect democratic values, human rights, and fundamental freedoms. Governments must urgently begin to think about regulations, standards, and responsible usesand learn from the way countries handled or mishandled other revolutionary technologies, including AI, nanotechnology, biotechnology, semiconductors, and nuclear fission. The United States and other democratic nations must not make the same mistake they made with AIand prepare for tomorrows quantum era today.

Read more here:
Quantum Computing Is Even More Dangerous Than Artificial Intelligence - Foreign Policy

Multiverse and BASF Partner to Research Quantum Use for Foreign Exchange Optimization

At first glance you might wonder why BASF, a large chemical company, would be working with Multiverse Computing to use quantum computing for a financial problem. But on closer look, you would see that BASF is a giant company with 2021 revenues of 78.6billion ($78.2B USD) and operates in over 190 countries. So they need to convert currencies in their operations all the time and even small improvements in the exchange rates that they can achieve could be worth a lot of money. The team started a small 9 month research effort in January 2022 that focused only on the trading between Euros and U.S. dollars. It will be completed shortly and the team will issue a final technical report. Presumably, if this first trial is a success the companies will move on to subsequent phases that may incorporate more currencies or more complicated scenarios. For more about this project, you can read a press release issued by Multiverse that you can access here.

August 23, 2022

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Continue reading here:
Multiverse and BASF Partner to Research Quantum Use for Foreign Exchange Optimization - Quantum Computing Report

[Editors note: Quantum Computing Will Be Bigger Than the Discovery of Fire! was previously published in June 2022. It has since been updated to include the most relevant information available.]

Its commonly appreciated that the discovery of fire was the most profound revolution in human history. And yesterday, I read that a major director at Bank of America (BAC) thinks a technology that hardly anyone is talking about these days could be more critical for humankind than fire!

Thats about as bold of a claim as you could make when it comes to technological megatrends. If true, this tech could be the most promising and lucrative investment opportunity of anyones lifetime.

The directors name? Haim Israel, head of global thematic investing research at BofA.

In his words, this technology could create a revolution for humanity bigger than fire, bigger than the wheel.

What on Earth is Mr. Israel talking about?

Two words: Quantum Computing.

Ill start by saying that the underlying physics of this breakthrough quantum mechanics is highly complex. It would likely require over 500 pages to fully understand.

But, alas, heres my best job at making a Cliffs Notes version in 500 words instead.

For centuries, scientists have developed, tested, and validated the laws of the physical world, known as classical mechanics. These scientifically explain how and why things work, where they come from, so on and so forth.

But in 1897, J.J. Thomson discovered the electron. And he unveiled a new, subatomic world of super-small things that didnt obey the laws of classical mechanics at all. Instead, they obeyed their own set of rules, which have since become known as quantum mechanics.

The rules of quantum mechanics differ from that of classical mechanics in two very weird, almost-magical ways.

First, in classical mechanics, objects are in one place at one time. You are either at the store or at home, not both.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once before theyre observed. A single subatomic particle can exist in point A and point B at the same time until we observe it. And at that point, it only exists at either point A or point B.

So, the true location of a subatomic particle is some combination of all its possible positions.

This is called quantum superposition.

Second, in classical mechanics, objects can only work with things that are also real. You cant use an imaginary friend to help move the couch. You need a real friend instead.

But in quantum mechanics, all those probabilistic states of subatomic particles are not independent. Theyre entangled. That is, if we know something about the probabilistic positioning of one subatomic particle, then we know something about the probabilistic positioning of another. That means these already super-complex particles can actually work together to create a super-complex ecosystem.

This is called quantum entanglement.

So, in short, subatomic particles can theoretically have multiple probabilistic states at once. And all those probabilistic states can work together again, all at once to accomplish some task.

Pretty wild, right?

It goes against everything classical mechanics had taught us about the world. It goes against common sense. But its true. Its real. And, now, for the first time ever, we are leaning how to harness this unique phenomenon to change everything about everything

This is why Mr. Israel is so excited about quantum computing. Its why he thinks it could be more revolutionary than the discovery of fire or the invention of the wheel.

I couldnt agree more.

Mark my words. Over the next few years, everything will change because of quantum mechanics. And some investors are going to make a lot of money.

The study of quantum theory has led to huge advancements over the past century. Thats especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of super quantum computers. And theyre infinitely faster and more powerful than even todays fastest supercomputers.

In Mr. Israels own words: By the end of this decade, the amount of calculations that we can make [on a quantum computer] will be more than the atoms in the visible universe.

Again, the physics behind quantum computers is highly complex. But once again, heres my Cliffs Notes version.

Todays computers are built on top of the laws of classical mechanics. That is, they store information on what are called bits, which can store data binarily as either 1 or 0.

But what if you could turn those classical bits into quantum bits qubits to leverage superpositioning to be both 1 and 0 stores at once?

Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?

Theoretically, youd create a machine with so much computational power that it would make todays most advanced supercomputers seem ancient.

Thats exactly whats happening today.

Google has built a quantum computer thats about 158 million times faster than the worlds fastest supercomputer.

Thats not hyperbole. Thats a real number.

Imagine the possibilities behind a new set of quantum computers 158 million times faster than even todays fastest computers

Wed finally have the level of AI that you see in movies. The biggest limitation to AI today is the robustness of machine learning algorithms, which are constrained by supercomputing capacity. Expand that capacity, and you get infinitely improved machine learning algos and infinitely smarter AI.

We could eradicate disease. We already have tools like gene editing. But its effectiveness relies of the robustness of the underlying computing capacity to identify, target, insert, cut, and repair genes. Insert quantum computing capacity, and all that happens without error in seconds allowing us to fix anything about anyone.

We could finally have that million-mile EV. We can only improve batteries if we can test them. And we can only test them in the real world so much. Therefore, the key to unlocking a million-mile battery is through simulation. And the quickness and effectiveness of simulations rest upon the robustness of underlying computing capacity. Make that capacity 158 million times bigger, and cellular simulation will happen 158 million times faster.

The economic opportunities here are truly endless.

One issue I have with emerging technological breakthroughs is that theyre usually focused on solving tomorrows problems. And we need tools to solve todays problems.

But quantum computing doesnt have that focus. Instead, it could prove mission-critical in helping us solve todays problems.

Lets revisit the making of a million-mile EV.

Were amid a global energy crisis defined by soaring oil prices. As a result, were all paying $5-plus per gallon for gas. Thats unreal. And its hurting everyone.

Of course, the ultimate fix is for everyone to buy electric vehicles. But EVs are technologically limited today. On average, they max out at about 250 miles of driving range. And theyre also pretty expensive.

Quantum computing could change that. It could allow us to create a million-mile EV rather soon. And through material simulation and battery optimization modeling, itd also dramatically reduce the costs of EV manufacturing.

In other words, with the help of quantum computing, we could be just years away from $15,000 EVs that can drive up to 1,000 miles on a single charge.

Indeed, auto makers like Hyundai (HYMTF) and Volkswagen (VWAGY) are already using quantum computers to make next-gen high-performance, low-cost EVs. These are EVs that actually drive as far as your gas car and cost less than it, too!

And those are the vehicles that will change the world, not todays $70,000 Teslas or $100,000-plus Lucid (LCID) cars. The EVs that will change the world will drive 1,000-plus miles and cost less than $15,000.

Quantum computing is the key to making those EVs.

Alas, I repeat: Quantum computing isnt a science-fiction project that will help the world in 10 years. Its a breakthrough technology that can help solve the worlds problems today!

And the most pertinent application? Electric vehicles.

Quantum computing is the most underrated, most transformational technological breakthrough since the internet.

In fact, it may be bigger than the internet. As Mr. Israel said, it may bigger than the discovery of fire itself.

The first tangible, value-additive application of quantum computing technology electric vehicles.

We truly believe that quantum computing will meaningfully accelerate the EV Revolution. Over the next few years, it will help to develop new EVs that last forever and cost next to nothing.

Forget Tesla. Focus on the next wave of EV makers that will make these quantum-enabled cars.

Believe it or not, one of those companies is Apple (AAPL).

Yep. You read that right. The worlds largest company is reportedly preparing to launch an electric vehicle very soon. Given its expertise in creating home-run-hit hardware products, we think Apples EV will drive us into an electric future.

And guess what? We found a $3 stock that we believe will become the exclusive supplier of the Apple cars most important technology.

According to our numbers, it could soar 40X from current levels.

Not 10X, 20X, or 30X 40X a potential investment that turns every $10,000 into $400,000.

Needless to say, its an opportunity that you need to hear about today.

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

Excerpt from:
Quantum Computing Will Be Bigger Than the Discovery of Fire! - InvestorPlace

NEW DELHI: India is witnessing a boom in deeptech startups in niche areas like cybersecurity, quantum computing, AI and semiconductor, and the country is now home to more than 3, 000 such startups that raised $2.7 billion in 2021 -- a 1.6 times growth over 2020 -- a new Nasscom report said on Monday.

The country added over 210 deeptech startups in 2021 alone, and Bengaluru and Delhi-NCR are leading them in the country, according to a Nasscom-Zinnov report.

"The Indian deeptech ecosystem has also fortified the job creation with over 4, 000 people being employed across 14 potential deeptech unicorns and is expected to increase by 2X in headcount by 2026, " said Debjani Ghosh, President, Nasscom.

The country is now home to 500 inventive deeptech startups, creating workforce across technologies such as drones, robotics, 3D printing and AI -- with the potential to develop new intellectual properties backed by scientific advances and fundamental research.

The deeptech ecosystem has grown at a staggering rate of 53 per cent CAGR in the last 10 years, growing at par with the Indian tech startups.

Nearly 70-75 per cent deeptech startups have at least 15 per cent of their workforce skilled in deep technologies, the report mentioned.

"Strategic partnership with the government, academia, global investors, streamlined corporate collaboration and dedicated test-bed programmes can create a massive impact on India's deeptech story, " said Ghosh.

Although in a nascent stage compared to the US, Europe, Israel and China, the Indian deeptech ecosystem is expanding fast.

The industry is witnessing more start-ups emerging to solve global mega challenges of clean tech, zero hunger, smart cities and climate actions, the report said.

In 2021, over 270 unique startups raised $2.7 billion across 319 deals, with AI and big data and analytics being the top technologies raising equity investments.

The seed stage startups have witnessed a 2.3 times growth in equity investments in 2021, as compared to 2020, raising a total of $186 million funding in 2021.

Among verticals, supply chain management (SCM) and logistics were the most funded sectors in 2021, with deeptech startups raising funding across use cases like drone delivery, autonomous delivery bots, cold chain monitoring and fleet management, the report noted.

Read the rest here:
India now home to 3K deeptech startups that raised $2.7bn in 2021 - Punjab News Express

News is first, and while it may be mid-August of 2022, NVIDIA had a bad quarter in Q2 2023 already. Not the first thing wed do if time travel was realized, but it takes all kinds. We also discuss reports of the AMD Ryzen 7000 DDR5 sweet spot, look at some re-purposed retro tech from the 2022 Hackaday Prize winners, and look into Gigabytes replacement for the Z690i Ultra mobo. Plus mandatory Intel Arc news (they went PRO), and the usual gaming quick hits and depressing security corner.

Featured this week is Kents third installment in the upgrading in mid-2022 blog, with further explorations of the major and minor components he chose, and why.

Thank you to our Patreon members both new and current ones that are bumping their patronage! Could not be doing this without you all!This show cannot go on without you you know who you are, please consider helping our efforts. It most definitely helps keep us on the air. Thank you!

See the rest here:
Podcast #689 - Ryzen 7000 RAM Speed, NVIDIA's Bad Quarter, Intel Arc Pro GPUs, Hackaday Prizes, Quantum Computing Fail and MORE - PC Perspective