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Statistika je neúprosná. Čína za 10 let podpořila polovodičovou výrobu téměř 4× vyšší objemem financí než Spojené státy, které v této metrice zaostávají nejen za Čínou, ale i za Koreou a EU…

Mozilla CTO says AI means developers finally have a chance to get on top of security

The Mozilla has revealed it tested Anthropic’s bug-finding “Mythos” AI model and feels the results it experienced represent a watershed moment for software defenders.…

Byla vydána nová verze 2.54.0 distribuovaného systému správy verzí Git. Přispělo 137 vývojářů, z toho 66 nových. Přehled novinek v příspěvku na blogu GitHubu a v poznámkách k vydání.

Grafana (Wikipedie), tj. open source nástroj pro vizualizaci různých metrik a s ní související dotazování, upozorňování a lepší porozumění, byla vydána ve verzi 13.0. Přehled novinek v aktualizované dokumentaci a na YouTube. Stalo se tak na konferenci GrafanaCON 2026.

Na YouTube proběhl Framework [ Next Gen ] Event 2026. Společnost Framework představila nový Framework Laptop 13 Pro, vylepšení Framework Laptopu 16 a OCuLink Dev Kit pro připojení vysoce výkonných periferií jako jsou eGPU a bezdrátovou klávesnici s integrovaným touchpadem Framework Wireless Touchpad Keyboard.

Generative AI is fundamentally (and quickly) shaping how information is discovered and acted on, forcing enterprises to rethink how they engage with both humans and machines.

Adobe is responding to this shift, introducing new tools that keep up with evolving branding, surface campaign insights, and speed up content creation. At this week’s Adobe Summit, the company introduced a new Brand Intelligence system and expansions to its GenStudio platform, as well as launching products that use agentic AI to reshape customer experience.

And last week, Adobe announced one of its most significant AI rollouts, the new Firefly AI Assistant, interestingly on the same day rival Canva introduced its own new agentic platform, Canva 2.0.

“Brand visibility is going to shift toward what agents see, and what is picked up, understood, and returned by those agents,” said  Terra Higginson, a principal research director at Info-Tech Research Group. “Adobe is well-positioned for this shift.”

[ More Adobe Summit 2026 coverage ]

Helping teams stay on brand

Adobe describes Brand Intelligence as a “continuously-learning engine” that provides context to AI agents so teams can quickly create content that aligns with evolving branding. Instead of basic, static brand guidelines, the platform can gain from more nuanced insights like customer feedback, rejections, and approvals.

The system is based on a collection of small language models (SLMs) tailor-made to have a much deeper understanding of how a brand shows itself, in a multi-modal fashion, Adobe VP Sundeep Parsa explained to Computerworld. Enterprises can tweak the content along the way.

Brand Intelligence essentially reshapes the content supply chain so that teams can measure, plan, create, and manage brand-specific materials. Such customization is critical, because, he pointed out, “Coca Cola’s brand intelligence system is going to look very different from Nike’s.”

Info-Tech’s Higginson pointed out that an interesting use case for this would be when a brand wants to capitalize on a trend quickly. Back in the day, “instant” still meant a lot of planning and rework, but new Brand Intelligence capabilities can personalize agentic content immediately while still adhering to brand guidelines and localization requirements in real time.

“It’s taking personalized content to another level,” she said.

Ultimately, with LLMs in the mix, brand visibility is “twice as hard” as it used to be, and marketers’ jobs have gotten significantly more complex, Higginson noted.

“They don’t just need to convince humans to buy their products; they now need to convince agents, too,” she said. That means content must be instantly accessible, structured properly, and governed by brand guidelines.

New GenStudio enhancements

Along with Brand Intelligence, Adobe has rolled out new offerings within its GenStudio content creation platform. Notably, this includes a ‘Workflow Optimization Agent’ in Adobe Workfront, its workflow management platform.

The agent automates actions across workflows such as planning, execution, review, and approval. This can help teams build projects, speed up reviews, and pull out insights on demand, without the need for manual reporting. Teams can also involve AI agents in project planning and assign them tasks, such as resolving simple issues or performing reviews based on specific instructions and context.

Additionally, new creative production capabilities in Adobe Firefly for Enterprise Workflow Builder help developers build reusable workflows, link generative actions, and run batch production. Teams can also launch AI agents that interpret campaign briefs, compile supporting assets, and build templates and workflows.

Adobe is also rolling out a new dedicated ‘canvas’ interface to help teams pull together inputs and performance data to build better campaign briefs. Here, too, they can kick off an AI assistant.

Further, Adobe is announcing a new GenStudio module for marketing that turns long-form documents and videos into tailored campaigns, builds customer case studies, and writes web content. Marketers can quickly pull out performance insights (such as leads generated or follower statistics) and ask AI for recommendations to expand audience reach. And a new agency system of record will preserve enterprise context as it moves across content flows, supporting governance, accountability, and a shared understanding of branding.

“End users are seeing an exponential increase in the amount of content that needs to be created,” Higginson noted, adding that the benefits of a tool like Adobe GenStudio are not just generation of more content, but faster iteration, and less manual rework.

“It’s necessary because humans can basically no longer keep up with the demand for creation, iteration, testing, optimization, localization, and related workflows,” she emphasized.

Firefly AI Assistant speeds up creation

Adobe also announced a new Firefly AI Assistant (available soon) that users can interact with in natural language. Based on human instructions, agents can build workflows, ask contextual follow-up questions, offer suggestions, and report on results. They can also organize and share work in the Frame.io collaboration platform, interpret feedback, and automatically apply changes.

Agents have access to pre-built skills purpose-built for specific workflows, such as retouching portraits. They learn from creators over time, determining their preferred tools, workflows, and aesthetics, and maintain persistent memory across sessions. This carries over to other Adobe apps, too, so developers don’t have to start from scratch with each one.

A primary use case for the Firefly AI assistant is that of a creative team requesting input from the division owner, Higginson explained, including questions about color and brand consistency. In a demo at the event, Adobe illustrated this with a campaign for a major travel company. Feedback was folded in “almost in real time,” then localized across languages and countries.

“Work that would have taken months was reduced to minutes,” Higginson said. The platform makes creative workflows “more conversational and easier to manage across teams, which gets users to optimization much faster.”

Competition launches the same day

In an interesting development, Adobe announced its new Firefly AI Assistant on the same day that Canva introduced its next-gen agentic platform, Canva 2.0. Available now in research preview, Canva 2.0 also features brand intelligence tools and AI agents. Canva calls it its “most significant product evolution” since the company launched in 2013.

The platform upgrade reflects a broader move, beyond design “into more unified, AI-driven workflows,” Higginson said. Canva’s recent acquisitions of Simtheory and Ortto reinforce that push: They suggest the company is building toward a “wider marketing platform,” with content-centric workflow, stronger measurement, and lighter customer data platform (CDP) and lifecycle marketing capabilities that overlap with entry-level customer relationship management (CRM) territory.

That makes Canva more competitive, particularly with broader user groups and small to medium businesses (SMBs).

“Canva’s strength is accessibility, while Adobe’s strength is enterprise workflow depth,” said Higginson. “Adobe, though, still appears better positioned in complex enterprise environments where governance, scale, and established workflows matter more.”

Throttlestop Kernel Driver - Kernel Out-of-Bounds Write Privilege Escalation

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AVAST Antivirus 25.11 - Unquoted Service Path

Ministerstvo práce zveřejnilo návrh, jak chce navyšovat penze věkovou valorizací a jako odměnu za práci v důchodu.

Útočníci zneužívají otevřeného nástroje QEMU k ukrývání malwaru ve virtuálních strojích. Obcházejí tak detekci, kradou citlivá data a nasazují ransomware tak, že po sobě nezanechají žádné stopy.

Sonda do světa otevřeného softwaru. Dnes si zabezpečíme práci s AI agenty, převedeme si text na řeč, uděláme si pořádek v citacích a podíváme se na jednotné rozhraní pro práci s více databázemi.

Nedávno jsme publikovali článek v prestižním časopise Science o tom, jak kořeny rostlin reagují na mechanický stres. Tato zpráva se objevila v mnoha médiích. Nikde ale nebylo moc času řešit nic podrobnějšího a museli jsme hodně krátit naše poselství. Čtenář OSLA však chce jistě víc, a proto bych zde trochu podrobněji rozebral, co jsme vlastně zjistili a proč je to důležité.

Pokud bychom měli vypíchnout jednu věc, která se AMD s Ryzen 9 9950X3D2 povedla (a nikdo to nerozporuje), pak je to vyvolání emocí. Zvládl toho však podstatně více…

France Titres, the government agency in France for issuing and managing administrative documents has disclosed a data breach after a threat actor claimed the attack and stealing citizen data. [...]

NCSC boss says China's whole-of-state cyber machine has become Britain's peer competitor in cyberspace

State-sponsored cyberattacks from Chinese intelligence and military agencies display "an eye-watering level of sophistication," UK National Cyber Security Centre CEO Richard Horne is expected to say in a less-than-cheery opening speech to kick off its annual conference.…

Lawmakers decry CISA cuts: 'We are shooting ourselves in the foot'

If a cyberattack leads to a death, that's murder. A former FBI cyber division chief urged the US Justice Department to consider felony homicide charges against ransomware actors when attacks on hospitals lead to patient deaths.…

A new tool that tethers healthy mitochondria to ailing cells has shown promise in mice with inherited blindness.

Our cells produce energy in biological power plants called mitochondria. These energy-makers have minds of their own. They operate using a unique set of DNA and can travel outside cells. Like astronauts, they often escape in fatty bubbles, land on other cells, explore them, and sometimes literally fuse with native mitochondria in their new homes.

This makes mitochondrial diseases hard to treat. Few gene editing tools can reach them and fix genetic typos. Even without mutations, mitochondria falter with age, contributing to diabetes, Alzheimer’s disease, heart failure, and other medical scourges.

But an experimental fix is gaining traction. Researchers are shuttling healthy mitochondria into cells—essentially transplanting them—to restore energy production and reboot metabolism.

There’s a major roadblock, however. Getting healthy mitochondria to the right cells is challenging. Scientists at the Institute of Molecular and Clinical Ophthalmology Basel have now developed a system that tethers donated mitochondria to their targets.

Called MitoCatch, the scientists engineered matching proteins and attached them to donor mitochondria and recipient cells. Like hook-and-eye fasteners, the binders pull the two partners into close contact. From there—by mechanisms that are still mysterious—the new mitochondria ride in on fatty bubbles, disembark inside the cell, and get to work.

In the study, the researchers delivered mitochondria to multiple cell types, and an injection of mitochondria saved vulnerable retinal cells in mice with inherited blindness.

“As a therapy, mitochondria transplantation has been hindered by the lack of tools to target healthy mitochondria directly to disease-affected cells,” wrote Samantha Krysa and Jonathan Brestoff at Washington University School of Medicine, who were not involved in the study.

MitoCatch overcomes this barrier.

Domesticated Bacteria

Roughly two billion years ago, an ancestral cell ate a bacterium. But rather than digesting it, the cell formed an unlikely alliance with its erstwhile prey. The bacterium converted oxygen into energy for the host, and received protection and nutrients in return. Over time, the bacterium gave up its independence and became a critical part of our cells: mitochondria.

Unlike other cell structures called organelles, mitochondria carry 37 unique genes that encode the core components of their energy-making machinery. Their stripped-down genome leaves little margin for error and is especially vulnerable to mutation. It’s also shielded by a double membrane, making it difficult to reach using conventional biotech tools.

But mitochondria have a superpower: They can leave host cells. Research from the last two decades shows that many cells export some mitochondria into the cellular void. The practice could be a way to rid themselves of damaged mitochondria or to deliver healthy ones to struggling neighbors, like an intercellular care package.

This quirk led to the idea of mitochondrial transplantation. Here, healthy mitochondria are injected into tissue or the bloodstream to treat damaged cells. Early results are encouraging. Transplant extends the healthy lifespan of mice with mitochondrial defects, limits injury after stroke or heart attack, accelerates wound healing in people, and hints at benefits for obesity.

Because nearly every human cell depends on mitochondria for energy—and falters when they break—transplantation could unlock treatments for a broad range of diseases hard to treat today. That is, if healthy replacements can reach their destination.

“Being able to deliver mitochondria efficiently to the right cell types has been a key hurdle for this therapeutic strategy,” wrote Krysa and Brestoff.

Catch Me if You Can

MitoCatch relies on a cellular “handshake.” All cell surfaces are densely studded with proteins, some universal, others unique to specific cell types. These proteins interact with surrounding molecules to drive biological processes. During infection, for example, antibodies latch onto proteins on bacteria to trigger an immune attack. CAR T cell therapy outfits T cells with protein “binders” so they can better recognize and eliminate cancer cells, senescent cells, or cells involved in autoimmune disorders. In each case, success hinges on matched protein pairs snapping together like hook-and-eye fasteners.

The new system works on the same principle and has three designs. MitoCatch-M helps donor mitochondria recognize markers unique to different types of recipient cells. MitoCatch-C flips the approach, modifying recipient cells with binders that better capture mitochondria. And a third version uses a “bispecific” tether that simultaneously grips mitochondria and target cells. Once in close proximity, mitochondria are packaged in fatty bubbles that drift into the cell.

Then comes a brief moment of terror.

Many of these bubbles are routed to the cell’s waste processing organelle, where their cargo is completely destroyed. The mitochondria must escape before it’s too late.

In cultured brain, retinal, heart, skin, and immune cells, the tailored mitochondria largely avoided death. How they managed this up for debate, and the team is trying to work it out now. But once inside, the donor mitochondria fused with the cell’s native mitochondrial network.

This “suggests that MitoCatch can be used to enhance the efficacy of mitochondria transplantation substantially,” wrote Krysa and Brestoff.

Of course, cells in a dish aren’t the same as those in bodies. In another test, the team injected the engineered mitochondria into the eyes of mice with a hereditary condition where a single mitochondrial genetic defect destroys cells in the retina, resulting in gradual vision loss.

Over 10 days, the healthy mitochondria revamped treated cells’ metabolisms, reduced damage, and boosted survival and response to light. Whether this translates to better vision remains to be seen, but the treatment didn’t trigger an immune response, a promising sign it might be safe. To be clear, the transplanted mitochondria didn’t correct the underlying mutation. Instead, they supplied enough working versions of the gene to bring energy production back to life.

It’s “a proof-of-principle that mitochondria transplantation can be used to correct mutations encoded in the mitochondrial genome that cause a severe form of vision loss,” wrote Krysa and Brestoff.

MitoCatch isn’t ready for prime time. It requires extensive genetic engineering, making the system difficult to translate for routine treatment. It’s also still unclear how long transplanted mitochondria last in their new hosts and whether they have a lasting benefit.

These early results highlight the ways scientists can boost the therapy’s potential. With more work, we may have a new way to tackle previously untreatable mitochondrial disorders.

The post Scientists Revive Failing Cells With Mitochondria Transplants appeared first on SingularityHub.

LinkedIn is testing a new AI feature, Crosscheck, which allows users to compare several popular AI models directly on the platform. Users enter prompts into Crosscheck and receive two different responses generated by competing AI models from companies such as OpenAI, Anthropic, and Google.

After the user selects the best response, the model behind each answer is revealed. LinkedIn product manager Hari Srinivasan describes the service as a kind of blind taste test for AI models, according to Engadget.

Crosscheck works only with text, but has no limits on the number of questions. At the same time, LinkedIn shares anonymized user data with the AI companies to provide insights into how the models perform across different professional groups.

The feature is initially available to LinkedIn Premium subscribers in the US, with plans to expand to more countries and free users soon.