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An anonymous reader quotes a report from ZDNet: There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first time, demonstrated a huge jump in a computer's ability to recognize images. Thursday, the Computer History Museum (CHM), in collaboration with Google, released for the first time the AlexNet source code written by University of Toronto graduate student Alex Krizhevsky, placing it on GitHub for all to peruse and download. "CHM is proud to present the source code to the 2012 version of Alex Krizhevsky, Ilya Sutskever, and Geoffery Hinton's AlexNet, which transformed the field of artificial intelligence," write the Museum organizers in the readme file on GitHub. Krizhevsky's creation would lead to a flood of innovation in the ensuing years, and tons of capital, based on proof that with sufficient data and computing, neural networks could achieve breakthroughs previously viewed as mainly theoretical. The Computer History Museum's software historian, Hansen Hsu, published an essay describing how he spent five years negotiating with Google to release the code.

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Firefly Aerospace has teamed up with Blue Origin's Honeybee Robotics unit to deploy a rover on its 2028 lunar mission to study the Gruithuisen Domes -- rare volcanic formations that may reveal insights into the moon's geology and potential resources. The announcement follows Firefly's successful Blue Ghost Mission 1, which outlasted all prior commercial lunar landings. Reuters reports: The Gruithuisen Domes, located on the moon's near side, are unusual volcanic formations believed to be rich in silica -- a composition rare on the lunar surface -- and studying them could unlock clues about the moon's geological history and potential resources for future human missions. [...] The upcoming mission, part of NASA's Commercial Lunar Payload Services initiative, will use Firefly's Blue Ghost lander and Elytra Dark orbital vehicle, alongside the Honeybee Robotics rover, to explore the domes, building on the success of its debut effort, Firefly said.

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NASA's Curiosity rover has detected the largest organic molecules ever found on Mars -- decane, undecane, and dodecane -- suggesting that complex prebiotic chemistry may have occurred in the planet's ancient lakebeds. The findings have been published in the Proceedings of the National Academy of Sciences. From a press release: Scientists probed an existing rock sample inside Curiosity's Sample Analysis at Mars (SAM) mini-lab and found the molecules decane, undecane, and dodecane. These compounds, which are made up of 10, 11, and 12 carbons, respectively, are thought to be the fragments of fatty acids that were preserved in the sample. Fatty acids are among the organic molecules that on Earth are chemical building blocks of life. Living things produce fatty acids to help form cell membranes and perform various other functions. But fatty acids also can be made without life, through chemical reactions triggered by various geological processes, including the interaction of water with minerals in hydrothermal vents. While there's no way to confirm the source of the molecules identified, finding them at all is exciting for Curiosity's science team for a couple of reasons. Curiosity scientists had previously discovered small, simple organic molecules on Mars, but finding these larger compounds provides the first evidence that organic chemistry advanced toward the kind of complexity required for an origin of life on Mars. The new study also increases the chances that large organic molecules that can be made only in the presence of life, known as "biosignatures," could be preserved on Mars, allaying concerns that such compounds get destroyed after tens of millions of years of exposure to intense radiation and oxidation.

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An anonymous reader quotes a report from Reuters: German software company SAP overtook Danish healthcare company Novo Nordisk as Europe's largest company by market capitalization on Monday. At 0900 GMT, SAP had a market cap of $340 billion, slightly more than Novo Nordisk, according to Reuters calculations using LSEG Workspace data. SAP is Europe's largest software maker, providing business application software used by companies for finance, sales, supply chain and other functions. Its shares have surged in recent years, in part due to optimism that its cloud business will be a major beneficiary of recent investment in generative artificial intelligence. While SAP shares are up 7% so far in 2025, underperforming the broader European STOXX 600 index, which is up 8.3% year-to-date, they have clocked a total return of 160% since the end of 2022, far outperforming the STOXX 600's 28%. In contrast, Novo Nordisk shares have underperformed the market in recent months after data from trials of its experimental next-generation obesity drug Cagrisema disappointed investors.

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Meta is considering a paid subscription in the UK that would remove advertisements from its platform. The BBC reports: Under the plans, people using the social media sites could be asked to pay for an ad-free experience if they do not want their data to be tracked. Meta already provides ad-free subscriptions for Facebook and Instagram users in the EU, starting from euros (5 pounds) a month. A spokesperson for the firm said the company was "exploring the option" of offering a similar service in the UK. They said the firm was "engaging constructively" with the UK data watchdog about the subscription service, following a consultation in 2024. The Information Commissioner's Office previously said it expected Meta to consider data protection concerns before it launched an ad-free subscription. Meta says personalized advertising allows its platforms to be free at the point of access. Guidance issued by the regulator in January states that users must be presented with a genuine free choice. Social media platforms such as Meta heavily rely on ad revenues, and the company says personalised advertising allows its platforms to be free. Advertising accounted for more than 96% of its revenue in its latest quarterly financial results.

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Samsung Electronics vice chairman and co-CEO, Han Jong-hee, passed away from a heart attack on Tuesday at the age of 63. The Korea Herald reports: Since joining Samsung Electronics, Han held several key positions, including head of the LCD TV Lab. In 2021, he was appointed vice chairman and co-CEO, taking charge of the company's Device eXperience or DX division, which oversees its electronics and consumer device businesses. Developing...

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Two in five tech workers quit in the past year due to inflexible workplace policies around hours, location, and workload intensity, with most citing a desire for remote work and greater autonomy. The Register reports: The findings come from a survey of 26,000 plus staff that operate in 35 markets, including 2,548 respondents in tech, and fly in the face of more and more corporations issuing return to office mandates and demanding long working hours. Amsterdam-based recruitment biz Randstad, which commissioned the research, says 40 percent of the tech people it polled said they resigned due to hardline policies, and 56 percent threatened to seek an alternative if their requests for flexibility were ignored. Almost three-quarters claim remote work boosts a "sense of community" with colleagues -- versus the average of 58 percent across other sectors -- and 68 percent say they'd trust their employer more if they were more easy going on hours, the intensity of the work and the place where they can work. Graig Paglieri, Randstad Digital boss, said the "IT sector has shown that personalized work benefits and flexible options are essential not only for attracting top talent but also for retaining them in competitive markets. Policies should align with organizational, team and individual needs, ensuring a flexible and tailored approach."

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A software engineer successfully ran Meta's Llama 2 generative AI model on a 20-year-old PowerBook G4, demonstrating how well-optimized code can push the limits of legacy hardware. MacRumors' Joe Rossignol reports: While hardware requirements for large language models (LLMs) are typically high, this particular PowerBook G4 model from 2005 is equipped with a mere 1.5GHz PowerPC G4 processor and 1GB of RAM. Despite this 20-year-old hardware, my brother was able to achieve inference with Meta's LLM model Llama 2 on the laptop. The experiment involved porting the open-source llama2.c project, and then accelerating performance with a PowerPC vector extension called AltiVec. His full blog post offers more technical details about the project.

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An anonymous reader quotes a report from Bloomberg: Jack Ma-backed Ant Group used Chinese-made semiconductors to develop techniques for training AI models that would cut costs by 20%, according to people familiar with the matter. Ant used domestic chips, including from affiliate Alibaba and Huawei, to train models using the so-called Mixture of Experts machine learning approach, the people said. It got results similar to those from Nvidia chips like the H800, they said, asking not to be named as the information isn't public. Hangzhou-based Ant is still using Nvidia for AI development but is now relying mostly on alternatives including from Advanced Micro Devices and Chinese chips for its latest models, one of the people said. The models mark Ant's entry into a race between Chinese and US companies that's accelerated since DeepSeek demonstrated how capable models can be trained for far less than the billions invested by OpenAI and Alphabet Inc.'s Google. It underscores how Chinese companies are trying to use local alternatives to the most advanced Nvidia semiconductors. While not the most advanced, the H800 is a relatively powerful processor and currently barred by the US from China. The company published a research paper this month that claimed its models at times outperformed Meta Platforms Inc. in certain benchmarks, which Bloomberg News hasn't independently verified. But if they work as advertised, Ant's platforms could mark another step forward for Chinese artificial intelligence development by slashing the cost of inferencing or supporting AI services.

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Microsoft is expanding its Security Copilot platform with six new AI agents designed to autonomously assist cybersecurity teams by handling tasks like phishing alerts, data loss incidents, and vulnerability monitoring. There are also five third-party AI agents created by its partners, including OneTrust and Tanium. The Verge reports: Microsoft's six security agents will be available in preview next month, and are designed to do things like triage and process phishing and data loss alerts, prioritize critical incidents, and monitor for vulnerabilities. "The six Microsoft Security Copilot agents enable teams to autonomously handle high-volume security and IT tasks while seamlessly integrating with Microsoft Security solutions," says Vasu Jakkal, corporate vice president of Microsoft Security. Microsoft is also working with OneTrust, Aviatrix, BlueVoyant, Tanium, and Fletch to enable some third-party security agents. These extensions will make it easier to analyze data breaches with OneTrust or perform root cause analysis of network outages and failures with Aviatrix. [...] While these latest AI agents in the Security Copilot are designed for security teams to take advantage of, Microsoft is also improving its phishing protection in Microsoft Teams. Microsoft Defender for Office 365 will start protecting Teams users against phishing and other cyberthreats within Teams next month, including better protection against malicious URLs and attachments.

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An anonymous reader shares a Bloomberg column: Worries over China's "3D" problem -- that deflation, debt and demographics are structurally hampering growth -- are melting away. Instead, investors are talking about how the world's second-largest economy can take on the US and challenge its technological dominance. There is the prevailing sense that China's "engineer dividend" is finally paying off. Between 2000 and 2020, the number of engineers has ballooned from 5.2 million to 17.7 million, according to the State Council. That reservoir can help the nation move up the production possibility frontier, the thinking goes. In a way, DeepSeek shouldn't have come as a surprise. Size matters. A bigger talent pool alone gives China a better chance to disrupt. In 2022, 47% of the world's top 20th percentile AI researchers finished their undergraduate studies in China, well above the 18% share from the US, according to data from the Paulson Institute's in-house think tank, MacroPolo. Last year, the Asian nation ranked third in the number of innovation indicators compiled by the World Intellectual Property Organization, after Singapore and the US. What this also means is that innovative breakthroughs can pop out of nowhere. [...] More importantly, China's got the cost advantage. Those under the age of 30 account for 44% of the total engineering pool, versus 20% in the US, according to data compiled by Kaiyuan Securities. As a result, compensation for researchers is only about one-eighth of that in the US. Credit must be given to President Xi Jinping for his focus on higher education as he seeks to upgrade China's value chain. These days, roughly 40% of high-school graduates go to universities, versus 10% in 2000. Meanwhile, engineering is one of the most popular majors for post-graduate studies. It's a welcome reprieve for a government that has been struggling with a shrinking population.

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FaunaDB, a serverless database combining relational and document features, will shut down by the end of May due to unsustainable capital demands. The company plans to open source its core technology, including its FQL query language, in hopes of continuing its legacy within the developer community. The Register reports: The startup pocketed $27 million in VC funding in 2020 and boasted that 25,000 developers worldwide were using its serverless database. However, last week, FaunaDB announced that it would sunset its database services. FaunaDB said it plans to release an open-source version of its core database technology. The system stores data in JSON documents but retains relational features like consistency, support for joins and foreign keys, and full schema enforcement. Fauna's query language, FQL, will also be made available to the open-source community. "Driving broad based adoption of a new operational database that runs as a service globally is very capital intensive. In the current market environment, our board and investors have determined that it is not possible to raise the capital needed to achieve that goal independently," the leadership team said. "While we will no longer be accepting new customers, existing Fauna customers will experience no immediate change. We will gradually transition customers off Fauna and are committed to ensuring a smooth process over the next several months," it added.

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An anonymous reader quotes a report from 404 Media: 23andMe filed for Chapter 11 bankruptcy Sunday, leaving the fate of millions of people's genetic information up in the air as the company deals with the legal and financial fallout of not properly protecting that genetic information in the first place. The filing shows how dangerous it is to provide your DNA directly to a large, for-profit commercial genetic database; 23andMe is now looking for a buyer to pull it out of bankruptcy. 23andMe said in court documents viewed by 404 Media that since hackers obtained personal data about seven million of its customers in October 2023, including, in some cases "health-related information based upon the user's genetics," it has faced "over 50 class action and state court lawsuits," and that "approximately 35,000 claimants have initiated, filed, or threatened to commence arbitration claims against the company." It is seeking bankruptcy protection in part to simplify the fallout of these legal cases, and because it believes it may not have money to pay for the potential damages associated with these cases. CEO and cofounder Anne Wojcicki announced she is leaving the company as part of this process. The company has the genetic data of more than 15 million customers. According to its Chapter 11 filing, 23andMe owes money to a host of pharmaceutical companies, pharmacies, artificial intelligence companies (including a company called Aganitha AI and Coreweave), as well as health insurance companies and marketing companies. Shortly before the filing, California Attorney General Rob Bonta issued an "urgent" alert to 23andMe customers: "Given 23andMe's reported financial distress, I remind Californians to consider invoking their rights and directing 23andMe to delete their data and destroy any samples of genetic material held by the company." In a letter to customers Sunday, 23andMe said: "Your data remains protected. The Chapter 11 filing does not change how we store, manage, or protect customer data. Our users' privacy and data are important considerations in any transaction, and we remain committed to our users' privacy and to being transparent with our customers about how their data is managed." It added that any buyer will have to "comply with applicable law with respect to the treatment of customer data." 404 Media's Jason Koebler notes that "there's no way of knowing who is going to buy it, why they will be interested, and what will become of its millions of customers' DNA sequences. 23andMe has claimed over the years that it strongly resists law enforcement requests for information and that it takes customer security seriously. But the company has in recent years changed its terms of service, partnered with big pharmaceutical companies, and, of course, was hacked."

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CERN faces a pivotal decision about its future as the Large Hadron Collider approaches the end of its usefulness by the early 2040s. Management proposes building the Future Circular Collider (FCC), a machine with a 90-kilometer circumference that would smash particles at eight times the energy of the LHC. This hugely consequential plan faces significant challenges. Much of the required technology doesn't exist yet, including superconducting magnets strong enough to bend high-energy particle beams. The project also lacks the clear rationale that the LHC had in finding the Higgs boson. The proposal has divided physicists. Critics worry about the decades-long timeline, potential cost overruns, and the risk of sacrificing other valuable CERN activities. Germany, which provides 20% of the lab's budget, has already indicated it won't increase contributions. A council-appointed group is now gathering input from the physics community before making recommendations in December. Nature's editorial board adds: Unless some nations step up with a major infusion of cash, the FCC faces an uncertain prospect of being funded. But waiting too long could mean that there will be a large gap between the new facility opening and the closure of the LHC, and precious expertise could end up being lost. Although physicists might disagree on what CERN should do, they nearly unanimously care about the lab's future. They and their leaders must now make the case for why European taxpayers, who fund most of the lab's yearly budget should care, too. The stakes are beyond science, and even beyond Europe.

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Valve's early anti-piracy efforts, which eventually led to the Steam platform, were sparked by co-founder Monica Harrington's nephew using her money to buy a CD burner for copying games, she revealed at last week's Game Developers Conference. Harrington said her nephew's "lovely thank you note" about sharing games with friends represented a "generational shift" in piracy attitudes that could "put our entire business model at risk." Half-Life subsequently launched with CD key verification in 1998. When players complained about authentication failures, co-founder Mike Harrington discovered "none of them had actually bought the game," confirming the system worked. Although easily bypassed, this early protection influenced Steam's more robust DRM implemented with Half-Life 2 in 2004, which became the industry standard for PC game distribution.

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Scientists are developing biomarkers to objectively measure pain, addressing a fundamental medical challenge that has contributed to the opioid crisis and led to consistent underestimation of pain in women and minorities. Four research teams funded by the Department of Health and Human Services are developing technologies to quantify pain like other vital signs. Their approaches include a blood test for endometriosis pain, a device measuring nerve response through pupil dilation, microneedle patches sampling interstitial fluid, and a wearable sensor detecting pain markers in sweat. "When patients are told that the pain is all in their head, the implication is that it's imagined, but the irony is that's sort of right," said Adam Kepecs, a neuroscience professor at Washington University. "The pain only exists in your brain. It's neural activity, which is why it's invisible and uniquely personal. But it's still real." These innovations could transform treatment for the nearly 25% of Americans suffering from chronic pain, while potentially saving billions in healthcare costs.

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The Pentagon has canceled its troubled Defense Civilian Human Resources Management System after years of delays and budget overruns, Defense Secretary Pete Hegseth said. The project, launched in 2018 with a one-year timeline and $36 million budget, ultimately ran eight years and exceeded costs by $280 million, reaching 780% over budget. "We're not doing that anymore," Hegseth said in a video announcing the cancellation. Officials have 60 days to develop a new plan to modernize DoD's civilian HR systems. The cuts are part of a broader $580 million spending reduction that includes $360 million in diversity, climate change and COVID-19 grant programs, plus $30 million in consulting contracts with Gartner and McKinsey.

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Google has confirmed that a technical issue has permanently deleted location history data for numerous users of its Maps application, with no recovery possible for most affected customers. The problem emerged after Google transitioned its Timeline feature from cloud to on-device storage in 2024 to enhance privacy protections. Users began reporting missing historical location data on support forums and social media platforms in recent weeks. "This is the result of a technical issue and not user error or an intentional change," said a Google spokesperson. Only users who manually enabled encrypted cloud backups before the incident can recover their data, according to Google. The company began shifting location storage policies in 2023, initially stopping collection of sensitive location data including visits to abortion clinics and domestic violence shelters.

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schwit1 writes: A compact, deep-sea, cable-cutting device, capable of severing the world's most fortified underwater communication or power lines, has been unveiled by China -- and it could shake up global maritime power dynamics. The revelation marks the first time any country has officially disclosed that it has such an asset, capable of disrupting critical undersea networks. The tool, which is able to cut lines at depths of up to 4,000 metres (13,123 feet) -- twice the maximum operational range of existing subsea communication infrastructure -- has been designed specifically for integration with China's advanced crewed and uncrewed submersibles like the Fendouzhe, or Striver, and the Haidou series.

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China's Cyberspace Administration and Ministry of Public Security have outlawed the use of facial recognition without consent. From a report: The two orgs last Friday published new rules on facial recognition and an explainer that spell out how orgs that want to use facial recognition must first conduct a "personal information protection impact assessment" that considers whether using the tech is necessary, impacts on individuals' privacy, and risks of data leakage. Organizations that decide to use facial recognition must data encrypt biometric data, and audit the information security techniques and practices they use to protect facial scans. Chinese that go through that process and decide they want to use facial recognition can only do so after securing individuals' consent. The rules also ban the use of facial recognition equipment in public places such as hotel rooms, public bathrooms, public dressing rooms, and public toilets. The measures don't apply to researchers or to what machine translation of the rules describes as "algorithm training activities" -- suggesting images of citizens' faces are fair game when used to train AI models.

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