Using the Summit supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers have modeled a key component of nucleotide excision repair (NER) called the pre-incision complex (PInC), which plays a crucial role in DNA damage repair. Their study, published in Nature Communications, provides new insights into how the PInC machinery orchestrates precise DNA excision, potentially leading to advancements in treating genetic disorders, preventing premature aging, and understanding conditions like xeroderma pigmentosum and Cockayne syndrome. Phys.Org reports: "Computationally, once you assemble the PInC, molecular dynamics simulations of the complex become relatively straightforward, especially on large supercomputers like Summit," [said lead investigator Ivaylo Ivanov, a chemistry professor at Georgia State University]. Nanoscale Molecular Dynamics, or NAMD, is a molecular dynamics code specifically designed for supercomputers and is used to simulate the movements and interactions of large biomolecular systems that contain millions of atoms. Using NAMD, the research team ran extensive simulations. The number-crunching power of the 200-petaflop Summit supercomputer -- capable of performing 200,000 trillion calculations per second -- was essential in unraveling the functional dynamics of the PInC complex on a timescale of microseconds. "The simulations showed us a lot about the complex nature of the PInC machinery. It showed us how these different components move together as modules and the subdivision of this complex into dynamic communities, which form the moving parts of this machine," Ivanov said.

The findings are significant in that mutations in XPF and XPG can lead to severe human genetic disorders. They include xeroderma pigmentosum, which is a condition that makes people more susceptible to skin cancer, and Cockayne syndrome, which can affect human growth and development, lead to impaired hearing and vision, and speed up the aging process. "Simulations allow us to zero in on these important regions because mutations that interfere with the function of the NER complex often occur at community interfaces, which are the most dynamic regions of the machine," Ivanov said. "Now we have a much better understanding of how and from where these disorders manifest."

An anonymous reader quotes a report from Ars Technica: On Wednesday, Google DeepMind announced two new AI models designed to control robots: Gemini Robotics and Gemini Robotics-ER. The company claims these models will help robots of many shapes and sizes understand and interact with the physical world more effectively and delicately than previous systems, paving the way for applications such as humanoid robot assistants. [...] Google's new models build upon its Gemini 2.0 large language model foundation, adding capabilities specifically for robotic applications. Gemini Robotics includes what Google calls "vision-language-action" (VLA) abilities, allowing it to process visual information, understand language commands, and generate physical movements. By contrast, Gemini Robotics-ER focuses on "embodied reasoning" with enhanced spatial understanding, letting roboticists connect it to their existing robot control systems. For example, with Gemini Robotics, you can ask a robot to "pick up the banana and put it in the basket," and it will use a camera view of the scene to recognize the banana, guiding a robotic arm to perform the action successfully. Or you might say, "fold an origami fox," and it will use its knowledge of origami and how to fold paper carefully to perform the task.

In 2023, we covered Google's RT-2, which represented a notable step toward more generalized robotic capabilities by using Internet data to help robots understand language commands and adapt to new scenarios, then doubling performance on unseen tasks compared to its predecessor. Two years later, Gemini Robotics appears to have made another substantial leap forward, not just in understanding what to do but in executing complex physical manipulations that RT-2 explicitly couldn't handle. While RT-2 was limited to repurposing physical movements it had already practiced, Gemini Robotics reportedly demonstrates significantly enhanced dexterity that enables previously impossible tasks like origami folding and packing snacks into Zip-loc bags. This shift from robots that just understand commands to robots that can perform delicate physical tasks suggests DeepMind may have started solving one of robotics' biggest challenges: getting robots to turn their "knowledge" into careful, precise movements in the real world. DeepMind claims Gemini Robotics "more than doubles performance on a comprehensive generalization benchmark compared to other state-of-the-art vision-language-action models."

Google is advancing this effort through a partnership with Apptronik to develop next-generation humanoid robots powered by Gemini 2.0. Availability timelines or specific commercial applications for the new AI models were not made available.

The abstract of a paper published on National Bureau of Economic Research: We document that, after remaining almost constant for almost 30 years, real labor productivity at U.S. restaurants surged over 15% during the COVID pandemic. This surge has persisted even as many conditions have returned to pre-pandemic levels. Using mobile phone data tracking visits and spending at more than 100,000 individual limited service restaurants across the country, we explore the potential sources of the surge.

It cannot be explained by economies of scale, expanding market power, or a direct result of COVID-sourced demand fluctuations. The restaurants' productivity growth rates are strongly correlated, however, with reductions in the amount of time their customers spend in the establishments, particularly with a rising share of customers spending 10 minutes or less. The frequency of such 'take-out' customers rose considerably during COVID, even at fast food restaurants, and never went back down. The magnitude of the restaurant-level relationship between productivity and customer dwell time, if applied to the aggregate decrease in dwell time, can explain almost all of the aggregate productivity increase in our sample.

Several Asian airlines have tightened restrictions on portable battery chargers amid growing concerns about fire risks, following a January blaze that destroyed an Air Busan aircraft in South Korea. South Korean airlines now require passengers to keep portable chargers within arm's reach rather than in overhead bins, a rule implemented March 1 to ease public anxiety, according to the Transportation Ministry. Taiwan's EVA Air and China Airlines have banned using or charging power banks on flights but still allow them in overhead compartments.

Thai Airways announced a similar ban last Friday, citing "incidents of in-flight fires on international airlines." Battery-related incidents on U.S. airlines have increased from 32 in 2016 to 84 last year, with portable chargers identified as the most common culprit, according to Federal Aviation Administration data. The International Civil Aviation Organization has banned lithium-ion batteries from cargo holds since 2016, though no industry standard exists for regulating power banks.

Amazon, Alphabet's Google and Meta Platforms on Wednesday said they support efforts to at least triple nuclear energy worldwide by 2050. From a report: The tech companies signed a pledge first adopted in December 2023 by more than 20 countries, including the U.S., at the U.N. Climate Change Conference. Financial institutions including Bank of America, Goldman Sachs and Morgan Stanley backed the pledge last year.

The pledge is nonbinding, but highlights the growing support for expanding nuclear power among leading industries, finance and governments. Amazon, Google and Meta are increasingly important drivers of energy demand in the U.S. as they build out AI centers. The tech sector is turning to nuclear power after concluding that renewables alone won't provide enough reliable power for their energy needs. Microsoft and Apple did not sign the statement.

AmiMoJo shares a report from Electrek: The U.S. installed 50 gigawatts (GW) of new solar capacity in 2024, the largest single year of new capacity added to the grid by any energy technology in over two decades. That's enough to power 8.5 million households. According to the U.S. Solar Market Insight 2024 Year in Review report (PDF) released today by the Solar Energy Industries Association (SEIA) and Wood Mackenzie, solar and storage account for 84% of all new electric generating capacity added to the grid last year.

In addition to historic deployment, surging U.S. solar manufacturing emerged as a landmark economic story in 2024. Domestic solar module production tripled last year, and at full capacity, U.S. factories can now produce enough to meet nearly all demand for solar panels in the U.S. Solar cell manufacturing also resumed in 2024, strengthening the U.S. energy supply chain. [...] Total US solar capacity is expected to reach 739 GW by 2035, but the report forecasts include scenarios showing how policy changes could impact the solar market. [...] The low case forecast shows a 130 GW decline in solar deployment over the next decade compared to the base case, representing nearly $250 billion of lost investment.

Longtime Slashdot reader schwit1 shares a report from Behind The Black: According to information at this tweet from anonymous sources, parts of Starship will likely require a major redesign due to the spacecraft's break-up shortly after stage separation on its last two test flights. These are the key take-aways, most of which focus on the redesign of the first version of Starship (V1) to create the V2 that flew unsuccessfully on those flights:

- Hot separation also aggravates the situation in the compartment.
- Not related to the flames from the Super Heavy during the booster turn.
- This is a fundamental miscalculation in the design of the Starship V2 and the engine section.
- The fuel lines, wiring for the engines and the power unit will be urgently redone.
- The fate of S35 and S36 is still unclear. Either revision or scrap.
- For the next ships, some processes may be paused in production until a decision on the design is made.
- The team was rushed with fixes for S34, hence the nervous start. There was no need to rush.
- The fixes will take much longer than 4-6 weeks.
- Comprehensive ground testing with long-term fire tests is needed. [emphasis mine]

It must be emphasized that this information comes from leaks from anonymous sources, and could be significantly incorrect. It does however fit the circumstances, and suggests that the next test flight will not occur in April but will be delayed for an unknown period beyond.

An anonymous reader quotes a report from Ars Technica: On Tuesday, OpenAI unveiled a new "Responses API" designed to help software developers create AI agents that can perform tasks independently using the company's AI models. The Responses API will eventually replace the current Assistants API, which OpenAI plans to retire in the first half of 2026. With the new offering, users can develop custom AI agents that scan company files with a file search utility that rapidly checks company databases (with OpenAI promising not to train its models on these files) and navigate websites -- similar to functions available through OpenAI's Operator agent, whose underlying Computer-Using Agent (CUA) model developers can also access to enable automation of tasks like data entry and other operations.

However, OpenAI acknowledges that its CUA model is not yet reliable for automating tasks on operating systems and can make unintended mistakes. The company describes the new API as an early iteration that it will continue to improve over time. Developers using the Responses API can access the same models that power ChatGPT Search: GPT-4o search and GPT-4o mini search. These models can browse the web to answer questions and cite sources in their responses. That's notable because OpenAI says the added web search ability dramatically improves the factual accuracy of its AI models. On OpenAI's SimpleQA benchmark, which aims to measure confabulation rate, GPT-4o search scored 90 percent, while GPT-4o mini search achieved 88 percent -- both substantially outperforming the larger GPT-4.5 model without search, which scored 63 percent.

Despite these improvements, the technology still has significant limitations. Aside from issues with CUA properly navigating websites, the improved search capability doesn't completely solve the problem of AI confabulations, with GPT-4o search still making factual mistakes 10 percent of the time. Alongside the Responses API, OpenAI released the open source Agents SDK, providing developers free tools to integrate models with internal systems, implement safeguards, and monitor agent activities. This toolkit follows OpenAI's earlier release of Swarm, a framework for orchestrating multiple agents.

An anonymous reader quotes a report from TechCrunch: There's a power crunch looming as AI and cloud providers ramp up data center construction. But a new report suggests that a solution lies beneath their foundations. Advanced geothermal power could supply nearly two-thirds of new data center demand by 2030, according to an analysis by the Rhodium Group. The additions would quadruple the amount of geothermal power capacity in the U.S. -- from 4 gigawatts to about 16 gigawatts -- while costing the same or less than what data center operators pay today. In the western U.S., where geothermal resources are more plentiful, the technology could provide 100% of new data center demand. Phoenix, for example, could add 3.8 gigawatts of data center capacity without building a single new conventional power plant.

Geothermal resources have enormous potential to provide consistent power. Historically, geothermal power plants have been limited to places where Earth's heat seeps close to the surface. But advanced geothermal techniques could unlock 90 gigawatts of clean power in the U.S. alone, according to the U.S. Department of Energy. [...] Because geothermal power has very low running costs, its price is competitive with data centers' energy costs today, the Rhodium report said. When data centers are sited similarly to how they are today, a process that typically takes into account proximity to fiber optics and major metro areas, geothermal power costs just over $75 per megawatt hour. But when developers account for geothermal potential in their siting, the costs drop significantly, down to around $50 per megawatt hour.

The report assumes that new generating capacity would be "behind the meter," which is what experts call power plants that are hooked up directly to a customer, bypassing the grid. Wait times for new power plants to connect to the grid can stretch on for years. As a result, behind the meter arrangements have become more appealing for data center operators who are scrambling to build new capacity.

A 55-year-old software developer faces up to 10 years in prison after being convicted for deploying malicious code that sabotaged his former employer's network, causing hundreds of thousands of dollars in losses.

Davis Lu was convicted by a jury for causing intentional damage to protected computers owned by power management company Eaton Corp., the US Department of Justice announced Friday. Lu, who worked at Eaton for 11 years, became disgruntled after a 2018 corporate "realignment" reduced his responsibilities.

He created malicious code that deleted coworker profile files, prevented logins, and caused system crashes. His most destructive creation was a "kill switch" named "IsDLEnabledinAD" that automatically activated upon his termination in 2019, disrupting Eaton's global operations. Lu admitted to creating some malicious code but plans to appeal the verdict.

August, 2023: Thousands of Crypto Scammers are Enslaved by Human-Trafficking Gangsters, Says Bloomberg Reporter. ("They'd lure young people from across Southeast Asia...with the promise of well-paying jobs in customer service or online gambling.")

February, 2025: A coordinated response begins by Thai, Chinese and Myanmar authorities, which includes cutting power, internet, and fuel supplies to the scam centers.

Today: The Associated Press reports that thousands of the people liberated from locked compounds in Myanmar now "have found themselves trapped once again, this time in overcrowded facilities with no medical care, limited food and no idea when they'll be sent home." Thousands of sick, exhausted and terrified young men and women, from countries all over the world squat in rows, packed shoulder to shoulder, surgical masks covering their mouths and eyes. Their nightmare was supposed to be over... The armed groups who are holding the survivors, as well as Thai officials across the border, say they are awaiting action from the detainees' home governments. It's one of the largest potential rescues of forced laborers in modern history, but advocates say the first major effort to crack down on the cyber scam industry has turned into a growing humanitarian crisis...

An unconfirmed list provided by authorities in Myanmar says they're holding citizens from 29 countries including Philippines, Kenya and the Czech Republic. Authorities in Thailand say they cannot allow foreigners to cross the border from Myanmar unless they can be sent home immediately, leaving many to wait for help from embassies that has been long in coming. China sent a chartered flight Thursday to the tiny Mae Sot airport to pick up a group of its citizens, but few other governments have matched that. There are roughly 130 Ethiopians waiting in a Thai military base, stuck for want of a $600 plane ticket. Dozens of Indonesians were bused out one morning last week, pushing suitcases and carrying plastic bags with their meager possessions as they headed to Bangkok for a flight home... The recent abrupt halt to U.S. foreign aid funding has made it even harder to get help to released scam center workers...

It's not clear how much of an effect these releases will have on the criminal groups that run the scam centers. February marked the third time the Thais have cut internet or electricity to towns across the river. Each time, the compounds have managed to work around the cuts. Large compounds have access to diesel-powered generators, as well as access to internet provider Starlink, experts working with law enforcement say.
The article also points out that "The people released are just a small fraction of what could be 300,000 people working in similar scam operations across the region, according to an estimate from the United States Institute of Peace. Human rights groups and analysts add that the networks that run these illegal scams will continue to operate unless much broader action is taken against them..."

"The United Nations Office on Drugs and Crimes estimates that between $18 billion and $37 billion was lost in Asia alone in 2023, with minimal government action against the criminal industry's spread."

The Washington Post reports: Meta was willing to go to extreme lengths to censor content and shut down political dissent in a failed attempt to win the approval of the Chinese Communist Party and bring Facebook to millions of internet users in China, according to a new whistleblower complaint from a former global policy director at the company.

The complaint by Sarah Wynn-Williams, who worked on a team handling China policy, alleges that the social media giant so desperately wanted to enter the lucrative China market that it was willing to allow the ruling party to oversee all social media content appearing in the country and quash dissenting opinions. Meta, then called Facebook, developed a censorship system for China in 2015 and planned to install a "chief editor" who would decide what content to remove and could shut down the entire site during times of "social unrest," according to a copy of the 78-page complaint exclusively seen by The Washington Post.

Meta chief executive Mark Zuckerberg also agreed to crack down on the account of a high-profile Chinese dissident living in the United States following pressure from a high-ranking Chinese official the company hoped would help them enter China, according to the complaint, which was filed in April to the Securities and Exchange Commission [SEC]. When asked about its efforts to enter China, Meta executives repeatedly "stonewalled and provided nonresponsive or misleading information" to investors and American regulators, according to the complaint.

Wynn-Williams bolstered her SEC complaint with internal Meta documents about the company's plans, which were reviewed by The Post. Wynn-Williams, who was fired from her job in 2017, is also scheduled to release a memoir this week documenting her time at the company, titled "Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism." According to a memo in the complaint, Meta leaders faced aggressive pressure by Chinese government officials to host Chinese users' data to local data centers, which Wynn-Williams alleges would have made it easier for the Chinese Communist Party to covertly obtain the personal information of its citizens.
Wynn-Williams told the Washington Post that "for many years Meta has been working hand in glove with the Chinese Communist Party, briefing them on the latest technological developments and lying about it."

Reached for a comment, Meta spokesman Andy Stone told the Washington Post it was "no secret" they'd been interested in operating in China. "This was widely reported beginning a decade ago. We ultimately opted not to go through with the ideas we'd explored, which Mark Zuckerberg announced in 2019." Although the Post shares new details about what a Facebook privacy policy staffer offer China in negotations in 2014. ("In exchange for the ability to establish operations in China, FB will agree to grant the Chinese government access to Chinese users' data — including Hongkongese users' data.")

The Post also describes one iteration of a proposed agreement in 2015. "To aid the effort, Meta built a censorship system specially designed for China to review, including the ability to automatically detect restricted terms and popular content on Facebook, according to the complaint...

"In 2017, Meta covertly launched a handful of social apps under the name of a China-based company created by one of its employees, according to the complaint."

Philosophy/ethics professor Troy Jollimore looks at the implications of a world where many students are submitting AI-generated essays. ("Sometimes they will provide quotations, giving page numbers that, as often as not, do not seem to correspond to anything in the actual world...") Ideally if the students write the essays themselves, "some of them start to feel it. They begin to grasp that thinking well, and in an informed manner, really is different from thinking poorly and from a position of ignorance. That moment, when you start to understand the power of clear thinking, is crucial.

"The trouble with generative AI is that it short-circuits that process entirely." One begins to suspect that a great many students wanted this all along: to make it through college unaltered, unscathed. To be precisely the same person at graduation, and after, as they were on the first day they arrived on campus. As if the whole experience had never really happened at all. I once believed my students and I were in this together, engaged in a shared intellectual pursuit. That faith has been obliterated over the past few semesters. It's not just the sheer volume of assignments that appear to be entirely generated by AI — papers that show no sign the student has listened to a lecture, done any of the assigned reading, or even briefly entertained a single concept from the course...

It's other things too... The students who beg you to reconsider the zero you gave them in order not to lose their scholarship. (I want to say to them: Shouldn't that scholarship be going to ChatGPT?â) It's also, and especially, the students who look at you mystified. The use of AI already seems so natural to so many of them, so much an inevitability and an accepted feature of the educational landscape, that any prohibition strikes them as nonsensical. Don't we instructors understand that today's students will be able, will indeed be expected, to use AI when they enter the workforce? Writing is no longer something people will have to do in order to get a job.

Or so, at any rate, a number of them have told me. Which is why, they argue, forcing them to write in college makes no sense. That mystified look does not vanish — indeed, it sometimes intensifies — when I respond by saying: Look, even if that were true, you have to understand that I don't equate education with job training.

What do you mean? they might then ask.

And I say: I'm not really concerned with your future job. I want to prepare you for life...

My students have been shaped by a culture that has long doubted the value of being able to think and write for oneself — and that is increasingly convinced of the power of a machine to do both for us. As a result, when it comes to writing their own papers, they simply disregard it. They look at instructors who levy such prohibitions as irritating anachronisms, relics of a bygone, pre-ChatGPT age.... As I go on, I find that more of the time, energy, and resources I have for teaching are dedicated to dealing with this issue. I am doing less and less actual teaching, more and more policing. Sometimes I try to remember the last time I actually looked forward to walking into a classroom. It's been a while.

"McDonald's is giving its 43,000 restaurants a technology makeover," reports the Wall Street Journal, including AI-enabled drive-throughs and AI-powered tools for managers — as well as internet-connected kitchen equipment.

"Technology solutions will alleviate the stress...." says McDonald's CIO Brian Rice. McDonald's tapped Google Cloud in late 2023 to bring more computing power to each of its restaurants — giving them the ability to process and analyze data on-site... a faster, cheaper option than sending data to the cloud, especially in more far-flung locations with less reliable cloud connections, said Rice... Edge computing will enable applications like predicting when kitchen equipment — such as fryers and its notorious McFlurry ice cream machines — is likely to break down, Rice said. The burger chain said its suppliers have begun installing sensors on kitchen equipment that will feed data to the edge computing system and give franchisees a "real-time" view into how their restaurants are operating. AI can then analyze that data for early signs of a maintenance problem.

McDonald's is also exploring the use of computer vision, the form of AI behind facial recognition, in store-mounted cameras to determine whether orders are accurate before they're handed to customers, he said. "If we can proactively address those issues before they occur, that's going to mean smoother operations in the future," Rice added...

Additionally, the ability to tap edge computing will power voice AI at the drive-through, a capability McDonald's is also working with Google's cloud-computing arm to explore, Rice said. The company has been experimenting with voice-activated drive-throughs and robotic deep fryers since 2019, and ended its partnership with International Business Machines to test automated order-taking at the drive-through in 2024.

Edge computing will also help McDonald's restaurant managers oversee their in-store operations. The burger giant is looking to create a "generative AI virtual manager," Rice said, which handles administrative tasks such as shift scheduling on managers' behalf. Fast-food giant Yum Brands' Pizza Hut and Taco Bell have explored similar capabilities.

Microsoft is reportedly developing its own large language model series capable of rivaling OpenAI and Anthropic's models. SiliconANGLE reports: Sources told Bloomberg that the LLM series is known as MAI. That's presumably an acronym for "Microsoft artificial intelligence." It might also be a reference to Maia 100, an internally-developed AI chip the company debuted last year. It's possible Microsoft is using the processor to power the new MAI models. The company recently tested the LLM series to gauge its performance. As part of the evaluation, Microsoft engineers checked whether MAI could power the company's Copilot family of AI assistants. Data from the tests reportedly indicates that the LLM series is competitive with models from OpenAI and Anthropic.

That Microsoft evaluated whether MAI could be integrated into Copilot hints the LLM series is geared towards general-purpose processing rather than reasoning. Many of the tasks supported by Copilot can be performed with a general-purpose model. According to Bloomberg, Microsoft is currently developing a second LLM series optimized for reasoning tasks. The report didn't specify details such as the number of models Microsoft is training or their parameter counts. It's also unclear whether they might provide multimodal features.

Intuitive Machines' Athena lander touched down near the lunar south pole Thursday but may have toppled during landing, jeopardizing its scientific mission. "We're trying to evaluate exactly what happened in that last bit," said Tim Crain, Intuitive Machines' chief technology officer. Data from an inertial measurement unit suggests the 15-foot robotic spacecraft is lying on its side.

The landing issues mirror problems faced by the company's Odysseus spacecraft last year, which also toppled after touchdown. Noisy data from laser altitude instruments likely contributed to the landing complications, officials said. CEO Steve Altemus reported the spacecraft isn't generating expected power, probably because its solar panels are improperly oriented. The company believes Athena landed somewhere on Mons Mouton, though outside the planned landing zone.

The $62.5 million NASA-contracted mission carries several payloads, including a drill to search for frozen water, three small rovers, and a rocket-powered hopping drone. NASA officials indicated some experiments might still function despite the lander's orientation. Intuitive Machines' stock fell 20% Thursday following reports of the spacecraft's problems.

UPDATE: Athena Spacecraft Declared Dead After Toppling Over On Moon

Earlier this week, Meta chief product officer Chris Cox said the company's upcoming open-source Llama 4 AI will help power AI agents for hundreds of millions of businesses. CNBC reports: The AI agents won't just be responding to prompts. They will be capable of new levels of reasoning and action -- surfing the web and handling many tasks that might be of use to consumers and businesses. And that's where Shih comes in. Meta's AI is already being used by over 700 million consumers, according to Shih, and her job is to bring the same technologies to businesses. "Not every business, especially small businesses, has the ability to hire these large AI teams, and so now we're building business AIs for these small businesses so that even they can benefit from all of this innovation that's happening," she told CNBC's Julia Boorstin in an interview for the CNBC Changemakers Spotlight series.

She expects the uptake among businesses to happen soon, and spread far and wide. "We're quickly coming to a place where every business, from the very large to the very small, they're going to have a business agent representing it and acting on its behalf, in its voice -- the way that businesses today have websites and email addresses," Shih said. While major companies across sectors of the economy are investing millions of dollars to develop customer LLMs, "doing fancy things like fine tuning models," as Shih put it, "If you're a small business -- you own a coffee shop, you own a jewelry shop online, you're distributing through Instagram -- you don't have the resources to hire a big AI team, and so now our dream is that they won't have to."

For both consumers and businesses, the implications of the advances discussed by Cox and Shih will be significant in daily life. For consumers, Shih says, "Their AI assistant [will] do all kinds of things, from researching products to planning trips, planning social outings with their friends." On the business side, Shih pointed to the 200 million small businesses around the world that are already using Meta services and platforms. "They're using WhatsApp, they're using Facebook, they're using Instagram, both to acquire customers, but also engage and deepen each of those relationships. Very soon, each of those businesses are going to have these AIs that can represent them and help automate redundant tasks, help speak in their voice, help them find more customers and provide almost like a concierge service to every single one of their customers, 24/7."

NASA has begun shutting down science instruments aboard the twin Voyager spacecraft to extend their 47-year journey through interstellar space, officials said. Voyager 1's cosmic ray subsystem was deactivated on February 25, while Voyager 2's low-energy charged particle instrument will be shut down on March 24. Both spacecraft will then operate with just three of their original ten science instruments.

The radioisotope power systems aboard the Voyagers lose approximately 4 watts annually, threatening to end their mission within months without intervention. "Electrical power is running low," said Voyager project manager Suzanne Dodd. "The Voyagers have been deep space rock stars since launch, and we want to keep it that way as long as possible." NASA engineers believe these measures could enable the probes to continue operating into the 2030s, far beyond their initial five-year design life.

China plans to commercialize nuclear fusion for emissions-free power generation by 2050, with its first operational project expected around 2050 after a demonstration phase starting in 2045. Bloomberg reports: China National Nuclear Corp. (CNNC) last year formed an industry alliance and set up a new national fusion company, the China Fusion Corp. It has attracted about 1.75 billion yuan ($240 million) in investment from CNNC and Zhejiang Zheneng Electric Power Co. for cutting-edge tokamak devices, which use magnetic fields to confine and control superheated plasma to produce power without emissions or significant radioactive waste. CNNC also plans to scale up production of its homegrown designs for regular nuclear fission reactors and small modular reactors over the next five years, the company's Vice General Manager Xin Feng said at the briefing.

China is set to leapfrog the US and France as the owner of the world's biggest reactor fleet by 2030. About 10 new reactors have been approved every year since power shortages emerged in 2022 and the country is expected to keep up that pace through 2030 to meet climate goals, CNNC said on Friday.

AmiMoJo shares a report: Europe's biggest battery storage project has entered commercial operation in Scotland [alternative source], promising to soak up surplus wind power and prevent turbines being paid to switch off.

Zenobe said the first phase of its project at Blackhillock, between Inverness and Aberdeen, was now live with capacity to store enough power to supply 200 megawatts of electricity for two hours. It is due to be expanded to 300 megawatts by next year, enough to supply 3.1 million homes, more than every household in Scotland.

The government's Clean Power 2030 action plan sets a target capacity of up to 27 gigawatts of batteries by 2030, a sixfold increase from the 4.5 gigawatts installed today. This huge expansion is seen as critical as Britain builds more renewable wind and solar power, since batteries can store surplus generation for use when the wind does not blow and the sun does not shine.