latency updatemediumMicrosoft
MAI-Code-1.1 Flash: Better, faster, at a quarter of the cost
Microsoft is publishing a builder-relevant update across its AI stack.
Action: Re-run latency/cost checks and adjust timeout budgets.
Builder-critical change radar
Latest LLM updates that can break agent stacks
Filterable stream of model/API/SDK/deprecation/pricing/latency updates with explicit action hints and one-click Checks entry points.
Latest updates
29 updates
model releasehighGoogle
Here’s your first peek at Pixel Watch 5. Designed for Gemini Intelligence and @GoogleHealth, it helps you stay on top of your day with proac
Here’s your first peek at Pixel Watch 5. Designed for Gemini Intelligence and @GoogleHealth, it helps you stay on top of your day with proactive assistance, advanced fitness tracking, and breakthrough health features. https://t.co/gqCfSHvu5n
Action: Retest your production agent flow before rollout.
model releasehighGoogle
Get your first look at the Pixel 11 family. Refined hardware, made to last. Fresh colors. New cameras. And designed for Gemini Intelligence.
Get your first look at the Pixel 11 family. Refined hardware, made to last. Fresh colors. New cameras. And designed for Gemini Intelligence. #MadeByGoogle https://t.co/2zTSWvynjH
Action: Retest your production agent flow before rollout.
model releasehighMeta
Muse-Glimmer-30B momentum +30%
meta-models model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighMiniMaxAI
MiniMax-H3 momentum +30%
MiniMaxAI model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
pricing changehighxAI
Grok 4.6 is faster than comparable models and can handle much more challenging tasks than Grok 4.5. It's half the price of other frontier mo
Grok 4.6 is faster than comparable models and can handle much more challenging tasks than Grok 4.5. It's half the price of other frontier models at $2/M input and $6/M output tokens.
Action: Retest your production agent flow before rollout.
pricing changehighxAI
Introducing Grok 4.6. It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price. https://t.co/RtTbp
Introducing Grok 4.6. It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price. https://t.co/RtTbpXcb3a
Action: Retest your production agent flow before rollout.
model releasehighMistral
☁️Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, a
☁️Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, and setting a roadmap for the world. 🧵: https://t.co/LeP53uBUES https://t.co/JjluVwJecj
Action: Retest your production agent flow before rollout.
model releasehighOpenAI
We've used GPT-5.6-Cyber extensively in real-world vulnerability research, including work that uncovered previously unknown vulnerabilities
We've used GPT-5.6-Cyber extensively in real-world vulnerability research, including work that uncovered previously unknown vulnerabilities in popular open-source software like Chrome’s v8 engine. https://t.co/prM5lPEQkn
Action: Retest your production agent flow before rollout.
model releasehighGoogle
The @GeminiApp hit more than 1 billion monthly users — making it the fastest-growing product in Google’s history 🎉. To mark the milestone,
The @GeminiApp hit more than 1 billion monthly users — making it the fastest-growing product in Google’s history 🎉. To mark the milestone, here are some Gemini app fun facts from @JoshWoodward ↓ https://t.co/jO4j56OKMn
Action: Retest your production agent flow before rollout.
model releasehighAnthropic
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis. It didn’t solve it, but it did make strides on a
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis. It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from
Action: Retest your production agent flow before rollout.
model releasehighlarryvrh
MiniMax-H3-Turbo-Lora momentum +30%
larryvrh model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighdeepseek-ai
DeepSeek-V4-Flash-0731 momentum +3%
deepseek-ai model showing momentum in LLM.
Action: Run model migration checks for quality, latency, and cost.
model releasehighComfy-Org
MiniMax-H3 momentum +0%
Comfy-Org model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighLightricks
LTX-2.5 momentum +30%
Lightricks model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighlightx2v
Minimax-h3-Turbo momentum +20%
lightx2v model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighmoonshotai
Kimi-K3 momentum +7%
moonshotai model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighunsloth
Muse-Glimmer-30B-GGUF momentum +30%
unsloth model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighDavidAU
Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF momentum +1%
DavidAU model showing momentum in AI Model.
Action: Run model migration checks for quality, latency, and cost.
model releasehighTekedia
Vietnam’s VinSpace Signs SpaceX Deal to Launch First Satellites in 2027
Vingroup-backed aerospace company targets full-service space business as Hanoi seeks to build regional satellite and space-data capabilities Vietnamese aerospace company VinSpace said on Tuesday it has signed an agreement with SpaceX to launch its first satellites in 2027, marking a significant step in the country’s efforts to build a domestic space industry and expand its [...] The post Vietnam’s VinSpace Signs SpaceX Deal to Launch First Satellites in 2027 appeared first on Tekedia .
Action: Benchmark candidate model behavior before adopting in production.
latency updatemediumComplete Ai Training
GeoPT helps AI models learn physics for faster, more accurate simulations
MIT and Tsinghua researchers built GeoPT, a training method that simulates physics twice as fast using 60 percent less data than current models. The system lets engineers test vehicle and robot designs against wind and collisions without building physical prototypes.
Action: Re-run latency/cost checks and adjust timeout budgets.
model releasehighIt Brief Australia
BlackLine launches transparent AI finance model in Australia
Finance teams can cut reconciliation times and retain audit trails as BlackLine pushes a governed AI model to ease close pressures in Australia.
Action: Benchmark candidate model behavior before adopting in production.
model releasehighCfotech Australia
BlackLine launches transparent AI finance model in Australia
Finance teams can cut reconciliation times and retain audit trails as BlackLine pushes a governed AI model to ease close pressures in Australia.
Action: Benchmark candidate model behavior before adopting in production.
pricing changehighTechtarget
CW@60: A ringside seat as computers transformed banking
On 22 September 2026, Computer Weekly turns 60. To mark the milestone, we asked some of our friends - experts, parliamentarians, IT leaders and suppliers - for their perspectives on how tech has changed their lives over six decades. What's changed the most for you since then? Back in 1966 when Computer Weekly was launched, banking technology was in its infancy . Book-keeping was being transferred from paper ledgers to early mainframes to reduce the manual work involved, but this did not fundamentally change the business of banking that had been established for centuries. Banks offered places to store money, move it around and borrow it - but the challenge was the sheer volume of accounts and transactions involved. Although banking products and services themselves were not about to change very much, the way in which they were provided was on the verge of a revolution. Computers enabled the volume of accounts and transactions to scale up in ways that were not economic or practical to achieve manually. At the time, these systems were used purely internally, sitting firmly within the confines of the banks and operated exclusively by staff. What happened in the following decades was extraordinary as technology completely changed the ways in which customers could interact with their banks. The days when personal banking could only be conducted in a branch or by post are becoming a distant memory as technology pulled banking into the electronic world. Three ingredients Three ingredients would be required to complete the transformation as the banks needed to be computerised, customers needed access to computers and there had to be a way of connecting them together securely. This had to wait a while until the internet, mobile networks and mass ownership of personal computing devices took hold over the following decades. Computer Weekly was there from the early days to report on progress, celebrate the successes and investigate the failures. I was there for part of that journey as I began reading Computer Weekly in the 1980s when it was a tabloid-size newspaper. About 10 years later I started work in banking technology as the UK high street banks were among the largest employers of technology trainees at the time. I witnessed the incredible and positive impact technology had on financial services over the next 30 years in various leadership roles across more than my fair share of banks around the world. Once computers had become established in banks it was clear they could offer a much wider range of opportunities to improve all aspects of business operations. Back-office functions were computerised to improve efficiency, performance and scalability while reducing costs. This phase of adoption transformed how the banks operated internally in addition to how their customer-facing products and services were managed. The final and potentially most significant step was to grant external access to banking systems. This offered customers the convenience of self-service at any time from anywhere but also exposed banking systems to the outside world which could be a dangerous and unforgiving place. Nowhere to hide There was nowhere to hide when systems went wrong and no longer any possibility of concealing technology incidents and outages from external scrutiny . Enabling external access to banking systems also created a cyber security battleground as the banks and their customers came under continuous electronic attack from around the world. As a result, business and reputational risks became very high compared to the days when banking technology was kept safely out of reach behind closed doors. Technology has transformed banking for the better over the last 60 years but now stands at a crossroads where it also has the potential to cause harm on a global scale. We should make sure that does not happen as the old ways of banking have been lost in time and there is no going back James Martin Another incredible banking capability enabled by technology but often taken for granted is the ability for individuals to access and use money globally. Credit and debit cards work all over the world as networks connected the global banking ecosystem together and enabled electronic transactions to be made between almost anyone, anywhere – subject to regulations, sanctions and limitations. Technology has also revolutionised how people work together in global banks as remote access and video communication tools have improved workforce flexibility and enabled distributed teams to work together without the need to travel. These capabilities alone must have saved the industry a substantial amount of time and money as well as reducing the environmental impact of travel and strengthening workforce resilience during business continuity incidents. What the future holds So, what does the future hold for banking technology? Artificial intelligence is clearly fashionable at the moment and it could in theory be possible to build a fully autonomous bank, but is that something we want? Should machines have the authority to make decisions that impact people’s lives, society and the economy, particularly as they cannot be held to account for their actions? Humans will need to remain ultimately accountable as there is no point in prosecuting a computer. People will have to retain a controlling role in banking so the question is, where should the line be drawn between human and machine involvement? Only time will tell, but the industry has a tendency to push boundaries until something breaks and is then forced to retreat, often attracting regulatory and government intervention as a result. I hope the banks proceed with great care and do not push this boundary too far or too quickly. Just because they can do something does not mean they should do it, and that lesson still needs to be learned in some quarters. The greatest risk Banking relies on customer confidence and that is perhaps the greatest risk technology has introduced. If major incidents and outages continue to occur, people will react in different ways to insulate themselves from disruption. That could mean holding several accounts and payment methods with multiple banks or keeping a supply of cash under the bed. Even these precautions will not protect people from systemic failures involving shared networks, infrastructure and software used across the industry. Security, reliability and availability are paramount but these essentials are under constant threat from internal mistakes as well as external attacks. If not managed very carefully, the continuous flow of software changes can present just as much of a hazard as the risk of external interference. As pressure on technology costs is relentless and software development and deployment automation expands, the potential for self-inflicted injury is ever-present. Technology has transformed banking for the better over the last 60 years but now stands at a crossroads where it also has the potential to cause harm on a global scale. We should make sure that does not happen as the old ways of banking have been lost in time and there is no going back. James Martin is a banking technology veteran. Read all of Computer Weekly's 60th anniversary essays Technology is changing the way we live and work like never before – touching people’s lives every day, opening up new opportunities and creating new challenges. So for our 60 th anniversary, we wanted to reflect on the human stories of how the digital revolution has changed the lives of some of the key leaders and influencers in tech today. Read our full collection of essays, which offers a unique set of insights and perspectives into the changes we have seen during Computer Weekly's first 60 years. CW@60 - How technology has changed our lives over 60 years
Action: Recompute cost guardrails and routing thresholds.
pricing changehighMicrosoft
📣 @MicrosoftAI's MAI-Code-1.1-Flash is now rolling out in GitHub Copilot. ➡️ It has native vision support for image understanding ➡️ Delive
📣 @MicrosoftAI's MAI-Code-1.1-Flash is now rolling out in GitHub Copilot. ➡️ It has native vision support for image understanding ➡️ Delivers improvements across coding quality, instruction following, tool use, and performance ➡️ 73% lower list price than MAI-Code-1-Flash,
Action: Retest your production agent flow before rollout.
pricing changehighWebpronews
Apple’s Memory Bind Tightens: Why China’s Chipmakers Offer Little Relief
A global memory chip shortage driven by AI demand has pushed Apple to test Chinese suppliers CXMT and YMTC. Yet new U.S. political pressure and full production capacity at CXMT make that route exceedingly unlikely. Higher costs are already hitting device pricing and margins. (48 words)
Action: Recompute cost guardrails and routing thresholds.
latency updatemediumArabian Post
Allianz: Data center boom ushers in a new era of infrastructure risks and opportunities for insurers
SINGAPORE – Media OutReach Newswire – 12 August 2026 – Artificial intelligence is driving one of the largest infrastructure investment cycles in decades, but the rapid global build-out of data centers is also creating a new era of construction, operational, climate and insurance risks, according to the latest Allianz Commercial The data center construction boom: risks and claims trends report. Annual investment in data centers is projected to double from around US$500bn in 2024 to more than US$1trn as early as 2027. The investment opportunity extends far beyond server halls to electricity generation, grid infrastructure, cooling, networking, and semiconductors. According to Allianz Research , the US and China are expected to account for around 62% of new global capacity additions through 2030, but the next wave of investment is becoming increasingly global. In Europe, Germany, the UK and Ireland remain major markets, but faster expansion is expected in Spain, Finland and Denmark, where power availability and permitting conditions can be more favorable. Across Asia Pacific, excluding China, installed capacity is projected to increase from around 9GW today to more than 28GW by 2030, with Malaysia expected to grow more than tenfold. " AI is turning t he latest generation of data centers from a specialist real estate asset into mission-critical infrastructure ," says Thomas Lillelund, CEO of Allianz Commercial . " The scale of investment is extraordinary and, as these centers evolve beyond traditional data storage to high-performance compute demands , success will increasingly depend on resilience: access to power, reliable supply chains, robust construction controls, as well as climate-aware site selection and insurance programs that reflect the true accumulation risk . Indeed, comprehensive insurance cover has become a prerequisite for financing many large-scale AI infrastructure projects." Resilience must be central to data center operations The sector's biggest constraints are increasingly physical rather than financial. Competitive advantage is increasingly determined by access to electricity, grid connections, permitting, specialized equipment and skilled labor. In the US alone, the construction industry faces a shortage of around 439,000 skilled workers , while an estimated 349,000 additional workers may be needed in 2026. Climate resilience is increasingly a strategic consideration rather than an operational afterthought. Around 79% of global data center capacity is already located in areas exposed to heightened natural catastrophe risk, while 54% is exposed to chronic heat and drought stress. Some of the fastest-growing AI infrastructure markets are also among the most climate-exposed, including Northern Virginia, US, Johor in Malaysia, and Marseille, France. Acute flood, wildfire and wind exposure is highest in the Americas, affecting 86% of capacity, while chronic heat and drought stress is greatest in Asia Pacific, where 89% of capacity is exposed. Global data center insurance market will more than double by 2030 Insurance is evolving alongside the sector. As data centers assume a more critical role in infrastructure, comprehensive insurance cover has become a prerequisite for financing many large-scale AI infrastructure projects. Construction costs for a single AI campus can exceed US$20bn, with insured values rising substantially once high-performance computing equipment is installed. The global data center insurance market is projected to grow from around US$11bn today to more than US$24bn by 2030, reflecting rapid capacity expansion, rising insured values and increasing operational complexity. Demand is expected to extend beyond traditional property cover towards integrated solutions spanning construction, engineering, property, business interruption, cyber and liability, while also creating new opportunities in areas such as energy resilience, operational continuity, and technology risk. Risk and claims trends: fire drives severity; water damage frequency Allianz Commercial analysis of insurance industry data center-related claims shows that fire is the leading driver of loss severity, accounting for well over 50% of around €700mn (US$800mn) worth of losses. Natural catastrophe activity ranks second, followed by willful acts, which include crime and cyber incidents, followed by power failure. Water damage is the most frequent cause of data center claims, followed by willful acts, fire, and equipment breakdown. Business interruption is the primary driver of claims severity by line of insurance, highlighting the significant financial impact of operational downtime. The data center risk profile is changing as facilities become larger, more complex, and more increasingly interdependent. Hyperscale and colocation of campuses can bring together multiple tenants, construction works, servers, supporting utilities and on-site infrastructure in one physical or operational space. A single event can therefore trigger claims across property, construction, business interruption, liability, cyber, and financial lines. Real-life claims case studies show that in hyperscale facilities, damage to external cooling systems, hot works-related fire damage, and a delay in start-up caused by power disturbances have each resulted in losses in the US$50mn to US$100mn range. " For insurers, the key question is not only the value of the building, but the concentration of value and dependency inside and around it. Power, cooling, batteries, fiber routes, testing and commissioning, and business continuity planning are all part of the same risk picture. Effective risk mitigation must begin early and continue throughout the data center lifecycle. Resilience must be designed in from the earliest planning stage, " explains Christian Kolbe, Global Head of Construction Claims at Allianz Commercial . Clarity between policies essential to avoid ambiguity Data center projects encompass different project phases with several stakeholders and interests involved, which can create complications. During the construction phase, stakeholders include the owner, developer, contractor, and subcontractors, whereas in the operational phase, the stakeholders include the owner-operator, and potentially multiple tenants or end users. For example, different policies could respond to a hot works-related fire resulting in damage to a data center nearing completion, and this would impact different stakeholders. "Clarity is critical with an insurance claim," says Charlotte Field, Regional Head of Short-tail Claims, Asia, at Allianz Commercial . "Clearly documented handovers are essential between your construction all-risk policy and operational policy. There must be no ambiguity about practical completion, in order to avoid disputes over which policy responds to a particular event and the extent of cover." Hashtag: #AllianzCommercial https://commercial.allianz.com/ https://www.linkedin.com/company/allianz-commercial/ The issuer is solely responsible for the content of this announcement. About Allianz Commercial Allianz Commercial is the center of expertise and global line of Allianz Group for insuring mid-sized businesses, large enterprises and specialist risks. Among our customers are the world's largest consumer brands, financial institutions and industry players, the global aviation and shipping industry as well as family-owned and medium enterprises which are the backbone of the economy. We also cover unique risks such as offshore wind parks, infrastructure projects or film productions. Powered by the employees, financial strength , and network of the world's #1 insurance brand, we work together to help our customers prepare for what's ahead: They trust us in providing a wide range of traditional and alternative risk transfer solutions, outstanding risk consulting and Multinational services as well as seamless claims handling. Allianz Commercial brings together the large corporate insurance business of Allianz Global Corporate & Specialty (AGCS) and the commercial insurance business of national Allianz Property & Casualty entities serving mid-sized companies. We are present in over 200 countries and territories either through our own teams or the Allianz Group network and partners. In 2025, the integrated business of Allianz Commercial generated around €17.3 billion in gross premium globally. https://commercial.allianz.com/ The article Allianz: Data center boom ushers in a new era of infrastructure risks and opportunities for insurers appeared first on Arabian Post .
Action: Re-run latency/cost checks and adjust timeout budgets.
latency updatemediumTechtarget
Physical AI, robotics revive lagging U.S. shipbuilding
Physical AI is playing a critical role in maritime shipbuilding worldwide and could provide the U.S. a much-needed boost in shipbuilding production for commercial and military applications. The U.S. over the past few decades has fallen far behind China, South Korea and Japan in commercial shipbuilding, according to a 2025 report on global shipbuilding output by the United Nations Conference on Trade and Development. And while the U.S. leads the world in naval fleet tonnage for military applications, a 2026 report by consultancy BCG warns that the U.S. faces a "significant gap" between its current shipbuilding production rates and cumulative production targets for 2034. "The U.S. Navy operates the most complex ships in the world, but the U.S. shipbuilding industry can't build them quickly enough," according to the report. " Currently, the Navy is receiving just half of the annual ship production it needs, creating threats to both national security and economic resilience." To accelerate shipbuilding, the Navy announced a $448 million "strategic investment" in AI and autonomy technologies. "[W]e're helping the shipbuilding industry improve schedules, increase capacity and reduce costs," said Secretary of the Navy John Phelan in a statement. "This is about doing business smarter and building the industrial capability our Navy and nation require." In addition, $26 billion was allocated for military shipbuilding in the National Defense Authorization Act for Fiscal Year 2026 passed in December 2025. Physical AI provides end-to-end shipbuilding Physical AI combines artificial intelligence with robotics, real-time sensors and computer vision to speed shipyard operations, increase shipbuilding volume and automate labor-intensive tasks like welding, surface preparation, grinding and coating. Our goal is to integrate data across design, production, logistics, quality control and maintenance into a unified, holistic system built on a single thread of continuous and connected data. Yeong Ung Ryu Senior vice president, HD Korea Shipbuilding and Offshore Engineering The technology will "fundamentally innovate the way ships are built," said Yeong Ung Ryu, senior vice president at HD Korea Shipbuilding and Offshore Engineering. "Our goal is to integrate data across design, production, logistics, quality control and maintenance into a unified, holistic system built on a single thread of continuous and connected data." Physical AI perceives real-time environmental changes, autonomously determines the optimal work methods and automates "nonstandardized tasks that were beyond the reach of conventional automation," he added. Shipbuilders deploying physical AI are documenting promising results. For example, submarine schedule planning was reduced from 160 manual hours to less than 10 minutes in a pilot deployment at General Dynamics Electric Boat in Groton, Conn., according to the U.S. Navy. Seaspan Shipyards with operations in North Vancouver and Victoria, B.C., found that a simulation model from BigBear.ai detected workflow inefficiencies and helped the shipbuilder improve on-time project delivery by 25% and reduce planning-related overhead and manual interventions by 30%. Siemens is working with HD Hyundai, one of the world's largest shipbuilders, to integrate physical AI into all aspects of the company's shipbuilding functions, including engineering, production planning, simulation, automation and operations. "The project aims to connect the entire shipbuilding process through a single data flow and ... support collaboration, learning and decision-making," said Brittany Ng, vice president, maritime, at Siemens Digital Industries Software. "Rather than simply analyzing data, physical AI enables shipbuilders to model, predict and improve engineering, production planning, manufacturing and shipyard operations before work begins and continuously optimize those operations during execution," Ng explained. The project also intends to compensate for shortages in skilled craftsmen such as welders and eliminate typical waiting times between shipbuilding processes. Due to the complexity and scale of shipbuilding, the U.S.'s largest military shipbuilder Huntington Ingalls Industries (HII), Newport News, Va., is using physical AI technologies for tasks such as welding, assembly, surface prep, inspection and painting. "We're looking at taking a series of technologies and then integrating them to change how we do an entire value stream," said Eric Chewning, executive vice president of maritime systems and corporate strategy at HII. What we're trying to do is automate parts of the shipbuilding value stream that are currently creating bottlenecks but aren't the best use of our skilled craftspeople. Sean Cassady Director of operations and technology strategy, HII HII launched the High-Yield Production Robotics (HYPR) program to network with physical AI providers Path Robotics and GrayMatter Robotics to automate tasks such as welding, assembly, surface prep, inspection and painting, Chewning said. "It all comes down to our ability to accelerate delivery of capability to the U.S. Navy," he explained. "[W]e think physical AI is one of a set of technologies that holds a lot of promise for modernizing shipbuilding in the United States." Rather than replacing employees with robots, HII plans to use physical AI to augment the workforce , said Sean Cassady, director of operations and technology strategy at HII. "What we're trying to do is automate parts of the shipbuilding value stream that are currently creating bottlenecks but aren't the best use of our skilled craftspeople. If we get to the point where HYPR is successful, then all of our skilled trades or skilled welders can be doing the work that automation still can't do in building and outfitting superstructures, putting together final assembly of the ship. There are additional bottlenecks, and we need to refocus our workforce around those areas." HII's shipbuilding production increased 14% in 2025, Chewning reported, "and we're targeting another 15% increase this year." Physical AI takes on hazardous welding tasks Welding is one of the skilled labor shortages in shipbuilding where physical AI is playing a key role. "Welding is definitely the definition of a dirty, dangerous job," said Andy Lonsberry, CEO and co-founder of Path Robotics, citing long-term harm to eyes and lungs. "Submarine-safe welding is some of the highest hurdles in terms of quality to get to first pass yield. That's really what we wanted to set out to do -- make a system learn how to weld so that it can eventually be a superhuman welding system to take on these really hard tasks that only really skilled humans could do today." The Path Robotics welding devices move on their own, including a mobile robotic dog welding system. "It's fully autonomous," Lonsberry explained. "They run on the exact same stack and the input ... is a 3D CAD model that's describing the geometry, where to weld and what your weld process specifications are. The robotic systems take that input and do their own full planning, completely zero human in the loop for locomotion or mobility, all welding and execution." The urgency to build more ships at a faster rate, particularly in the U.S., "is really high right now," Lonsberry said. "That's driven from [the Trump] administration and other global forces to see the United States be able to start to produce at a rate that we once could." Chuck Martin, a New York Times bestselling author, futurist, speaker and columnist, has been a thought leader in emerging digital technologies for more than three decades.
Action: Re-run latency/cost checks and adjust timeout budgets.
latency updatemediumHpcwire
Argonne Uses AI to Speed X-Ray Data Analysis at Advanced Photon Source
Aug. 11, 2026 — What if scientists could get a taste of discovery as soon as their experiment finishes? Thanks to a new machine learning tool called DONUT, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are transforming how experiments are run at the Advanced Photon Source (APS), a DOE Office of Science [...]
Action: Re-run latency/cost checks and adjust timeout budgets.