AI News Articles
Artificial Intelligence (AI) is emerging technology with great promise and potential for abuse. Below are key excerpts of revealing news articles on AI technology from reliable news media sources. If any link fails to function, a paywall blocks full access, or the article is no longer available, try these digital tools.
Artificial intelligence (AI) has graduated from the hype stage of the last decade and its use cases are now well documented. Whichever nation best adapts this technology to its military – especially in space – will open new frontiers in innovation and determine the winners and losers. The US Army has anticipated this impending AI disruption and has moved quickly to stand up efforts like Project Linchpin to construct the infrastructure and environment necessary to proliferate AI technology across its intelligence, cyber, and electronic warfare communities. However, it should come as no surprise that China anticipated this advantage sooner than the US and is at the forefront of adoption. Chinese dominance in AI is imminent. The Chinese government has made enormous investments in this area (much more than Western countries) and is the current leader in AI publications and research patents globally. Meanwhile, China's ambitions in space are no longer a secret – the country is now on a trajectory to surpass the US in the next decade. The speed, range, and flexibility afforded by AI and machine learning gives those on orbit who wield it an unprecedented competitive edge. The advantage of AI in space warfare, for both on-orbit and in-ground systems, is that AI algorithms continuously learn and adapt as they operate, and the algorithms themselves can be upgraded as often as needed, to address or escalate a conflict. Like electronic warfare countermeasures during the Cold War, AI is truly the next frontier.
Note: For more along these lines, see concise summaries of deeply revealing news articles on military corruption and war from reliable major media sources.
The National Security Agency (NSA) is developing a tool that George Orwell's Thought Police might have found useful: an artificial intelligence system designed to gain insight into what people are thinking. The device will be able to respond almost instantaneously to complex questions posed by intelligence analysts. As more and more data is collectedthrough phone calls, credit card receipts, social networks like Facebook and MySpace, GPS tracks, cell phone geolocation, Internet searches, Amazon book purchases, even E-Z Pass toll records - it may one day be possible to know not just where people are and what they are doing, but what and how they think. The system is so potentially intrusive that at least one researcher has quit, citing concerns over the dangers in placing such a powerful weapon in the hands of a top-secret agency with little accountability. Known as Aquaint, which stands for "Advanced QUestion Answering for INTelligence," the project was run for many years by John Prange, an NSA scientist at the Advanced Research and Development Activity. A supersmart search engine, capable of answering complex questions ... would be very useful for the public. But that same capability in the hands of an agency like the NSA - absolutely secret, often above the law, resistant to oversight, and with access to petabytes of private information about Americans - could be a privacy and civil liberties nightmare. "We must not forget that the ultimate goal is to transfer research results into operational use," said ... Prange.
Note: Watch a highly revealing PBS Nova documentary providing virtual proof that the NSA could have stopped 9/11 but chose not to. For more along these lines, see concise summaries of deeply revealing news articles on intelligence agency corruption and the disappearance of privacy.
When a Manhattan parking garage collapsed in April this year, rescuers were reluctant to stay in the damaged building, fearing further danger. So they used a combination of flying drones and a doglike walking robot to inspect the damage, look for survivors and make sure the site was safe for human rescuers to return. Soon, rescuers may be able to call on a much more sophisticated robotic search-and-rescue response. Researchers are developing teams of flying, walking and rolling robots that can cooperate to explore areas that no one robot could navigate on its own. And they are giving robots the ability to communicate with one another and make many of their own decisions independent of their human controller. Such teams of robots could be useful in other challenging environments like caves or mines where it can be difficult for rescuers to find and reach survivors. In cities, collapsed buildings and underground sites such as subways or utility tunnels often have hazardous areas where human rescuers can’t be sure of the dangers. As robots become better, teams of them may one day be able to go into a hazardous disaster site, locate survivors and report back to their human operators with a minimum of supervision. “More work ... needs to be done,” [roboticist Viktor] Orekhov says. “But at the same time, we’ve seen the ability of the teams advanced so rapidly that even now, with their current capabilities, they’re able to make a significant difference in real-life environments.”
Note: Explore more positive stories like this in our comprehensive inspiring news articles archive focused on solutions and bridging divides.
Israel’s military has made no secret of the intensity of its bombardment of the Gaza Strip. There has, however, been relatively little attention paid to the methods used by the Israel Defense Forces (IDF) to select targets in Gaza, and to the role artificial intelligence has played in their bombing campaign. After the 11-day war in Gaza in May 2021, officials said Israel had fought its “first AI war” using machine learning and advanced computing. The latest Israel-Hamas war has provided an unprecedented opportunity for the IDF to use such tools in a much wider theatre of operations and, in particular, to deploy an AI target-creation platform called “the Gospel”, which has significantly accelerated a lethal production line of targets. In early November, the IDF said “more than 12,000” targets in Gaza had been identified by its target administration division. Aviv Kochavi, who served as the head of the IDF until January, has said the target division is “powered by AI capabilities” and includes hundreds of officers and soldiers. According to Kochavi, “once this machine was activated” in Israel’s 11-day war with Hamas in May 2021 it generated 100 targets a day. “To put that into perspective, in the past we would produce 50 targets in Gaza per year. Now, this machine produces 100 targets a single day, with 50% of them being attacked.” A separate source [said] the Gospel had allowed the IDF to run a “mass assassination factory” in which the “emphasis is on quantity and not on quality”.
Note: Read about Israel's use of AI warfare since at least 2021. For more along these lines, see concise summaries of deeply revealing news articles on war from reliable major media sources.
Ties between Silicon Valley and the Pentagon are deeper than previously known, according to thousands of previously unreported subcontracts published Wednesday. The subcontracts were obtained through open records requests by accountability nonprofit Tech Inquiry. They show that tech giants including Google, Amazon, and Microsoft have secured more than 5,000 agreements with agencies including the Department of Defense, Immigrations and Customs Enforcement, the Drug Enforcement Agency, and the FBI. Tech workers in recent years have pressured their employers to drop contracts with law enforcement and the military. Google workers revolted in 2018 after Gizmodo revealed that Google was building artificial intelligence for drone targeting through a subcontract with the Pentagon after some employees quit in protest, Google agreed not to renew the contract. Employees at Amazon and Microsoft have petitioned both companies to drop their contracts with ICE and the military. Neither company has. The newly-surfaced subcontracts ... show that the companies' connections to the Pentagon run deeper than many employees were previously aware. Tech Inquiry's research was led by Jack Poulson, a former Google researcher. "Often the high-level contract description between tech companies and the military looks very vanilla," Poulson [said]. "But only when you look at the details ... do you see the workings of how the customization from a tech company would actually be involved."
Note: For more along these lines, see concise summaries of deeply revealing news articles on corruption in government and in the corporate world from reliable major media sources.
Emotion artificial intelligence uses biological signals such as vocal tone, facial expressions and data from wearable devices as well as text and how people use their computers, promising to detect and predict how someone is feeling. Over 50% of large employers in the U.S. use emotion AI aiming to infer employees’ internal states, a practice that grew during the COVID-19 pandemic. For example, call centers monitor what their operators say and their tone of voice. We wondered what workers think about these technologies. My collaborators Shanley Corvite, Kat Roemmich, Tillie Ilana Rosenberg and I conducted a survey. 51% of participants expressed concerns about privacy, 36% noted the potential for incorrect inferences employers would accept at face value, and 33% expressed concern that emotion AI-generated inferences could be used to make unjust employment decisions. Despite emotion AI’s claimed goals to infer and improve workers’ well-being in the workplace, its use can lead to the opposite effect: well-being diminished due to a loss of privacy. On concerns that emotional surveillance could jeopardize their job, a participant with a diagnosed mental health condition said: “They could decide that I am no longer a good fit at work and fire me. Decide I’m not capable enough and not give a raise, or think I’m not working enough.” Participants ... said they were afraid of the dynamic they would have with employers if emotion AI were integrated into their workplace.
Note: The above article was written by Nazanin Andalibi at the University of Michigan. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and the disappearance of privacy from reliable major media sources.
The $118bn bipartisan immigration bill that the US Senate introduced on Sunday is already facing steep opposition. The 370-page measure, which also would provide additional aid to Israel and Ukraine, has drawn the ire of both Democrats and Republicans over its proposed asylum and border laws. But privacy, immigration and digital liberties experts are also concerned over another aspect of the bill: more than $400m in funding for additional border surveillance and data-gathering tools. The lion’s share of that funding will go to two main tools: $170m for additional autonomous surveillance towers and $204m for “expenses related to the analysis of DNA samples”, which includes those collected from migrants detained by border patrol. The bill describes autonomous surveillance towers as ones that “utilize sensors, onboard computing, and artificial intelligence to identify items of interest that would otherwise be manually identified by personnel”. The rest of the funding for border surveillance ... includes $47.5m for mobile video surveillance systems and drones and $25m for “familial DNA testing”. The bill also includes $25m in funding for “subterranean detection capabilities” and $10m to acquire data from unmanned surface vehicles or autonomous boats. As of early January, CBP had deployed 396 surveillance towers along the US-Mexico border, according to the Electronic Frontier Foundation (EFF).
Note: Read more about the secret history of facial recognition technology and undeniable evidence indicating these tools do much more harm than good. For more along these lines, see concise summaries of deeply revealing news articles on government corruption and the disappearance of privacy from reliable major media sources.
Looking Glass Factory, a company based in the Greenpoint neighborhood of Brooklyn, New York, revealed its latest consumer device: a slim, holographic picture frame that turns photos taken on iPhones into 3D displays. Looking Glass received $2.54 million of “technology development” funding from In-Q-Tel, the venture capital arm of the CIA, from April 2020 to March 2021 and a $50,000 Small Business Innovation Research award from the U.S. Air Force in November 2021 to “revolutionize 3D/virtual reality visualization.” Across the various branches of the military and intelligence community, contract records show a rush to jump on holographic display technology, augmented reality, and virtual reality display systems as the latest trend. Critics argue that the technology isn’t quite ready for prime time, and that the urgency to adopt it reflects the Pentagon’s penchant for high-priced, high-tech contracts based on the latest fad in warfighting. Military interest in holographic imaging, in particular, has grown rapidly in recent years. Military planners in China and the U.S. have touted holographic technology to project images “to incite fear in soldiers on a battlefield.” Other uses involve the creation of three-dimensional maps of villages of specific buildings and to analyze blast forensics. Palmer Luckey, who founded the technology startup Anduril Industries ... has received secretive Air Force contracts to develop next-generation artificial intelligence capabilities under the so-called Project Maven initiative.
Note: For more along these lines, see concise summaries of deeply revealing news articles on intelligence agency corruption from reliable major media sources.
Lesley Stahl reports on an innovative project that uses artificial intelligence technology to allow people to talk with Holocaust survivors, even after their death. This high-tech initiative is a project of the USC Shoah Foundation. The project's creators film lengthy interviews with Holocaust survivors, then enter all the recorded answers into a database. When a person asks a spoken question, voice recognition technology identifies what the person is asking, then artificial intelligence identifies the best answer to the question and pull up the video of that response. [Stahl] digitally spoke with ... Eva Kor, an identical twin who survived the brutal experiments of Josef Mengele at the Auschwitz concentration camp. Kor died in July 2019 at the age of 85, yet there she was, in a life-like projection, willing to answer Stahl's questions, even her recollections of Mengele: "When I looked into his eyes, I could see nothing but evil," the digital Kor told Stahl. "People say that the eyes are the center of the soul, and in Mengele's case, that was correct." In 1992, 60 Minutes reported on Mengele's twin experiments, and Stahl interviewed the living Kor. Kor recalled how her twin sister, Miriam, helped sustain her life at Auschwitz. "I was continuously fainting out of hunger; even after, I survived," Kor said. "Yet Miriam saved her bread for one whole week. Now can you imagine what willpower does it take?" Kor told Stahl it had taken her 40 years before she was able to speak with her sister about the atrocities they experienced at Auschwitz.
Note: The 60 Minutes video at the link above is quite revealing. If only good people around the world were willing to step out of their comfort zones and see what Dr. Josef Mengele, the Angel of Death at Auschwitz, did to his concentration camp inmates, we might live in a kinder gentler world. If you are open to learning more see an excellent two-page summary on secret Nazi experiments and this well documented webpage on how Mengele may have been allowed to escape to then serve in secret American projects. By shining a light into the dark shadows, we can transform our our world.
At least 25 prominent artificial-intelligence researchers, including experts at Google, Facebook, Microsoft and a recent winner of the prestigious Turing Award, have signed a letter calling on Amazon to stop selling its facial-recognition technology to law enforcement agencies because it is biased against women and people of color. The letter, which was publicly released Wednesday, reflects growing concern in academia and the tech industry that bias in facial-recognition technology is a systemic problem. Amazon sells a product called Rekognition through its cloud-computing division, Amazon Web Services. The company said last year that early customers included the Orlando Police Department in Florida and the Washington County Sheriffs Office in Oregon. In January, two researchers at the Massachusetts Institute of Technology published a peer-reviewed study showing that Amazon Rekognition had more trouble identifying the gender of female and darker-skinned faces in photos than similar services from IBM and Microsoft. It mistook women for men 19 percent of the time, the study showed, and misidentified darker-skinned women for men 31 percent of the time. There are no laws or required standards to ensure that Rekognition is used in a manner that does not infringe on civil liberties, the A.I. researchers wrote. We call on Amazon to stop selling Rekognition to law enforcement.
Note: For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and the erosion of civil liberties.
Google will not seek to extend its contract next year with the Defense Department for artificial intelligence used to analyze drone video, squashing a controversial alliance that had raised alarms over the technological buildup between Silicon Valley and the military. Google ... has faced widespread public backlash and employee resignations for helping develop technological tools that could aid in warfighting. Google will soon release new company principles related to the ethical uses of AI. Thousands of Google employees wrote chief executive Sundar Pichai an open letter urging the company to cancel the contract, and many others signed a petition saying the companys assistance in developing combat-zone technology directly countered the companys famous Dont be evil motto. Several Google AI employees had told The Post they believed they wielded a powerful influence over the companys decision-making. The advanced technologys top researchers and developers are in heavy demand, and many had organized resistance campaigns or threatened to leave. The sudden announcement Friday was welcomed by several high-profile employees. Meredith Whittaker, an AI researcher and the founder of Googles Open Research group, tweeted Friday: I am incredibly happy about this decision, and have a deep respect for the many people who worked and risked to make it happen. Google should not be in the business of war.
Note: Explore a treasure trove of concise summaries of incredibly inspiring news articles which will inspire you to make a difference.
Hundreds of academics have urged Google to abandon its work on a U.S. Department of Defense-led drone program codenamed Project Maven. An open letter calling for change was published Monday by the International Committee for Robot Arms Control (ICRAC). The project is formally known as the Algorithmic Warfare Cross-Functional Team. Its objective is to turn the enormous volume of data available to DoD into actionable intelligence. More than 3,000 Google staffers signed a petition in April in protest at the company's focus on warfare. We believe that Google should not be in the business of war, it read. Therefore we ask that Project Maven be cancelled. The ICRAC warned this week the project could potentially be mixed with general user data and exploited to aid targeted killing. Currently, its letter has nearly 500 signatures. It stated: We are ... deeply concerned about the possible integration of Googles data on peoples everyday lives with military surveillance data, and its combined application to targeted killing ... Google has moved into military work without subjecting itself to public debate or deliberation. While Google regularly decides the future of technology without democratic public engagement, its entry into military technologies casts the problems of private control of information infrastructure into high relief. Lieutenant Colonel Garry Floyd, deputy chief of the Algorithmic Warfare Cross Functional Team, said ... earlier this month that Maven was already active in five or six combat locations.
Note: You can read the full employee petition on this webpage. The New York Times also published a good article on this. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and war.
Theres something eating at Google employees. Roughly one dozen employees of the search giant have resigned in the wake of reports that the ... company is providing artificial intelligence to the Pentagon. The employees resigned because of ethical concerns over the companys work with the Defense Department that includes helping the military speed up analysis of drone footage by automatically classifying images of objects and people, Gizmodo reported. Many of the employees who quit have written accounts of their decisions to leave the company. Their stories have been gathered and shared in an internal document. Google is helping the DoDs Project Maven implement machine learning to classify images gathered by drones, according to the report. Some employees believe humans, not algorithms, should be responsible for this sensitive and potentially lethal work - and that Google shouldnt be involved in military work at all. The 12 resignations are the first known mass resignations at Google in protest against one of the companys business decisions - and they speak to the strongly felt ethical concerns of the employees who are departing. In addition to the resignations, nearly 4,000 Google employees have voiced their opposition to Project Maven in an internal petition that asks Google to immediately cancel the contract and institute a policy against taking on future military work.
Note: You can read the full employee petition on this webpage. An open letter in support of google employees and tech workers was signed by more than 90 academics in artificial intelligence, ethics, and computer science. The New York Times also published a good article on this. For more along these lines, see concise summaries of deeply revealing news articles on corporate corruption and war
America's second-highest ranking military officer, Gen. Paul Selva, advocated Tuesday for "keeping the ethical rules of war in place lest we unleash on humanity a set of robots that we don't know how to control." Selva was responding to a question from Sen. Gary Peters, a Michigan Democrat, about his views on a Department of Defense directive that requires a human operator to be kept in the decision-making process when it comes to the taking of human life by autonomous weapons systems. Peters said the restriction was "due to expire later this year." "I don't think it's reasonable for us to put robots in charge of whether or not we take a human life," Selva told the Senate Armed Services Committee during a confirmation hearing for his reappointment as the vice chairman of the Joint Chiefs of Staff. He predicted that "there will be a raucous debate in the department about whether or not we take humans out of the decision to take lethal action," but added that he was "an advocate for keeping that restriction." Selva said humans needed to remain in the decision making process "because we take our values to war." His comments come as the US military has sought increasingly autonomous weapons systems.
Note: In another article Tesla founder Elon Musk's warns against the dangers of AI without regulation. A 2013 report for the U.N. Human Rights Commission called for a worldwide moratorium on the testing, production, assembly, transfer, acquisition, deployment and use of killer robots until an international conference can develop rules for their use. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the companys involvement in a Pentagon program that uses artificial intelligence to interpret video imagery and could be used to improve the targeting of drone strikes. The letter, which is circulating inside Google and has garnered more than 3,100 signatures, reflects a culture clash ... that is likely to intensify as cutting-edge artificial intelligence is increasingly employed for military purposes. We believe that Google should not be in the business of war, says the letter, addressed to Sundar Pichai, the companys chief executive. It asks that Google pull out of Project Maven, a Pentagon pilot program, and announce a policy that it will not ever build warfare technology. That kind of idealistic stance ... is distinctly foreign to Washingtons massive defense industry and certainly to the Pentagon, where the defense secretary, Jim Mattis, has often said a central goal is to increase the lethality of the United States military. Some of Googles top executives have significant Pentagon connections. Eric Schmidt, former executive chairman of Google and still a member of the executive board of Alphabet, Googles parent company, serves on a Pentagon advisory body, the Defense Innovation Board, as does a Google vice president, Milo Medin. Project Maven ... began last year as a pilot program to find ways to speed up the military application of the latest A.I. technology.
Note: The use of artificial intelligence technology for drone strike targeting is one of many ways warfare is being automated. Strong warnings against combining artificial intelligence with war have recently been issued by America's second-highest ranking military officer, tech mogul Elon Musk, and many of the world's most recognizable scientists. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
The Navy is looking to increase its use of drones that are more and more independent of direct human control. In recent days, Pentagon officials and Navy leaders have spoken about the program and the push to develop more autonomous and intelligent unmanned systems. Secretary of Defense Ash Carter in a speech earlier this month confirmed that the United States was developing "self-driving boats which can network together to do all kinds of missions, from fleet defense to close-in surveillance." And Rear Adm. Robert P. Girrier, the Navy's director of Unmanned Warfare Systems, discussed the effort at a January event at the Center for Strategic and International Studies. The drive is being dubbed "human machine teaming," which uses unmanned vehicles that are more independent than those piloted or supervised by human operators. Girrier told the audience that the "technology is there" and that more autonomous drones would allow the United States "to achieve supremacy at a lower cost." The Navy's push comes despite critics expressing increasing alarm at further automating drones, advances that have sparked fears of militaries developing robots that can kill without accountability. In July a group of concerned scientists, researchers and academics ... argued against the development of autonomous weapons systems. They warned of an artificial intelligence arms race and called for a "ban on offensive autonomous weapons beyond meaningful human control."
Note: In another article Tesla founder Elon Musk's warns against the dangers of AI without regulation. A 2013 report for the U.N. Human Rights Commission called for a worldwide moratorium on the testing, production, assembly, transfer, acquisition, deployment and use of killer robots until an international conference can develop rules for their use. For more along these lines, see concise summaries of deeply revealing military corruption news articles from reliable major media sources.
The Mother of All Bombs made news last week after the U.S. military dropped its most powerful non-nuclear bomb at a site in Afghanistans Nangarhar Province. This massive ... explosive device may seem a high-tech marvel. But the technology is old news, based on ... World War II-era theories. Yet theres plenty of new news on the military weapons front. The militarys new toys are often fantastically costly. Yet in some categories, technological advances create opportunities for cheap but powerful military tools ... starting with weaponized drones. The Defense Department is designing robotic fighter jets that would fly into combat alongside manned aircraft. It has tested missiles that can decide what to attack, and it has built ships that can hunt for enemy submarines ... without any help from humans. The dilemma posed by artificial intelligence-driven autonomous weapons - which some scientists liken to the third revolution in warfare, after gunpowder and nuclear arms - is that to take fullest advantage of such weapons, the logical move would be to leave humans entirely out of lethal decision-making, allowing for quicker responses to threats. But if future presidents and Pentagons trusted algorithms to make such decisions, conflicts between two nations relying on such technology could rapidly escalate - to possibly apocalyptic levels - without human involvement. More than 20,000 AI researchers, scientists and [others have signed] a ...petition endorsing a ban on offensive autonomous weapons.
Note: In 2013, the United Nations investigated the rise of lethal autonomous robots, and reported that this technology endangers human rights and should not be developed further without international oversight. For more along these lines, see concise summaries of deeply revealing war news articles from reliable major media sources.
Reading minds has just come a step closer to reality: scientists have developed artificial intelligence that can turn brain activity into text. While the system currently works on neural patterns detected while someone is speaking aloud, experts say it could eventually aid communication for patients who are unable to speak or type. “We are not there yet but we think this could be the basis of a speech prosthesis,” said Dr Joseph Makin, co-author of the research from the University of California, San Francisco. Writing in the journal Nature Neuroscience, Makin and colleagues reveal how they developed their system by recruiting four participants who had electrode arrays implanted in their brain to monitor epileptic seizures. These participants were asked to read aloud from 50 set sentences multiple times, including “Tina Turner is a pop singer”, and “Those thieves stole 30 jewels”. The team tracked their neural activity while they were speaking. This data was then fed into a machine-learning algorithm, a type of artificial intelligence system that converted the brain activity data for each spoken sentence into a string of numbers. At first the system spat out nonsense sentences. But as the system compared each sequence of words with the sentences that were actually read aloud it improved, learning how the string of numbers related to words, and which words tend to follow each other. The system was not perfect. However, the team found the accuracy of the new system was far higher than previous approaches.
Note: Remember that the military in their secret projects is often 10 to 20 years in advance of anything public. In 2008, CBS reported the story of a man with ALS who could type using only a brain computer interface. For more along these lines, see concise summaries of deeply revealing news articles on microchip implants from reliable major media sources.
William Andregg ushers me into the cluttered workshop of his startup Fathom Computing. Inside [a bulky black box is] a prototype computer that processes data using light, not electricity, and its learning to recognize handwritten digits. In other experiments the device learned to generate sentences in text. Andregg claims this is the first time such complex machine-learning software has been trained using circuits that pulse with laser light, not electricity. The company is working to shrink its [prototype], which covers a few square feet of workbench, to fit into a standard cloud server. Fathom hopes the technology will become one of the shovels of the artificial-intelligence gold rush. Tech companies, particularly large cloud providers like Amazon and Microsoft, spend heavily on computer chips to power machine-learning algorithms. Fathoms founders are betting this hunger for more powerful machine learning will outstrip the capabilities of purely electronic computers. Optics has fundamental advantages over electronics, says William Andregg. Youre already reaping the benefits of using light instead of electricity to work with data. Telecommunications companies move our web pages and selfies over long distances by shooting lasers down optical fiber. Optical computers arent likely to power your laptop or smartphone any time soon. Fathoms prototype is still too bulky, for one thing. But the technology does look to be a decent match for the main work that chips perform in AI projects based on artificial neural networks.
Note: Explore a treasure trove of concise summaries of incredibly inspiring news articles which will inspire you to make a difference.
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