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Opera has announced that its browser is now equipped with Browser Operator, a built-in AI agent that can help users with a variety of tasks. For example, if an Opera user wants help buying a large pack of socks in a certain color or booking a flight, the user can ask Browser Operator can do it.

The video below shows how it works:

Browser Operator is currently classified as a preview version, indicating there might still be some bugs to work out.

In addition to Browser Operator, Opera also plans to invest in additional AI features in the near future.

A new botnet malware named 'Eleven11bot' has infected over 86,000 IoT devices, primarily security cameras and network video recorders (NVRs), to conduct DDoS attacks. [...]

Microsoft has begun pushing out a new version of its generative AI (genAI) Copilot application to users testing new builds of Windows 11. The app has an updated interface with a panel on the right listing the history of queries that have been posed, and the responses on the left. 

Microsoft has designed the app along the lines of the user interfaces (UIs) available in OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini. (The current version of Copilot for Windows in the Microsoft Store has a plain interface with no history panel. Once a user poses a new query, the old conversation disappears.)

Copilot is now a native Windows app with the implementation of XAML (Extensible Application Markup Language), a Microsoft-developed language that encodes the UI separate from the application code. 

the The new version isn’t available to everyone. It is still in preview and is being rolled out to testers of Windows 11 through the Windows Insider program. 

“We are excited to be previewing improvements with our Insiders to ensure all our customers have a great Copilot experience for Windows,” Microsoft said in a blog post.

Microsoft is constantly rolling out Copilot updates across its Windows ecosystem and Microsoft 365. The company this week announced that it added updates to its Copilot Studio software and is now previewing Microsoft 365 Copilot Chat, which “enables your agents to take advantage of the full functionalities of Copilot Studio within Copilot Chat,” the company said in a blog post.

The chat feature provides agents access to data sources across Azure services and can coordinate or handoff queries to other agents. It also allows the creation of agents based on specific actions or triggers.

Another feature allows users to “monitor their custom agents’ trends and performance with analytics,” Microsoft said. 

Last month, the company added a feature called “intelligent meeting recap” to Teams that summarizes meeting notes by speaker and topic and generates round-ups and summaries.

The company also recently released a Copilot app for Macs. The AI assistant can summarize, generate images, provide recommendations and create content. The app works only on Macs with an M-series chip and macOS 14.0 or later.

The heap overflow zero-day in the memory unsafe code by Miss Creant

Broadcom today pushed out patches for three VMware hypervisor-hijacking bugs, including one rated critical, that have already been found and exploited by criminals.…

Cisco warned customers today of a vulnerability in Webex for BroadWorks that could let unauthenticated attackers access credentials remotely. [...]

PsiQuantum claims to have solved scalability issues that have long plagued photonic approaches.

American quantum computing startup PsiQuantum announced last week that it has cracked a significant puzzle on the road to making the technology useful: manufacturing quantum chips in large quantities.

PsiQuantum burst out of stealth mode in 2021 with a blockbuster funding announcement. It followed up with two more last year.

The company uses so-called “photonic” quantum computing, which has long been dismissed as impractical.

The approach, which encodes data in individual particles of light, offers some compelling advantages—low noise, high-speed operation, and natural compatibility with existing fiber-optic networks. However, it was held back by extreme hardware demands to manage the fact photons fly with blinding speed, get lost, and are hard to create and detect.

PsiQuantum now claims to have addressed many of these difficulties. Last week, in a new peer-reviewed paper published in Nature, the company unveiled hardware for photonic quantum computing they say can be manufactured in large quantities and solves the problem of scaling up the system.

What’s in a Quantum Computer?

Like any computer, quantum computers encode information in physical systems. Whereas digital computers encode bits (0s and 1s) in transistors, quantum computers use quantum bits (qubits), which can be encoded in many potential quantum systems.

Superconducting quantum computers require an elaborate cooling rig to keep them at temperatures close to absolute zero. Image Credit: Rigetti

The darlings of the quantum computing world have traditionally been superconducting circuits running at temperatures near absolute zero. These have been championed by companies such as Google, IBM, and Rigetti.

These systems have attracted headlines claiming “quantum supremacy” (where quantum computers beat traditional computers at some task) or the ushering in of “quantum utility” (that is, actually useful quantum computers).

In a close second in the headline grabbing game, IonQ and Honeywell are pursuing trapped-ion quantum computing. In this approach, charged atoms are captured in special electromagnetic traps that encode qubits in their energy states.

Other commercial contenders include neutral atom qubits, silicon based qubits, intentional defects in diamonds, and non-traditional photonic encodings.

All of these are available now. Some are for sale with enormous price tags, and some are accessible through the cloud. But fair warning: They are more for experimentation than computation today.

Faults and How to Tolerate Them

The individual bits in your digital computers are extraordinarily reliable. They might experience a fault (a 0 inadvertently flips to a 1, for example) once in every trillion operations.

PsiQuantum’s new platform has impressive-sounding features such as low-loss silicon nitride waveguides, high-efficiency photon-number-resolving detectors, and near-lossless interconnects.

The company reports a 0.02 percent error rate for single-qubit operations and 0.8 percent for two-qubit creation. These may seem like quite small numbers, but they are much bigger than the effectively zero error rate of the chip in your smartphone.

However, these numbers rival the best qubits today and are surprisingly encouraging.

One of the most critical breakthroughs in the PsiQuantum system is the integration of fusion-based quantum computing. This is a model that allows for errors to be corrected more easily than in traditional approaches.

Quantum computer developers want to achieve what is called “fault tolerance.” This means that, if the basic error rate is below a certain threshold, the errors can be suppressed indefinitely.

Claims of “below threshold” error rates should be met with skepticism, as they are generally measured on a few qubits. A practical quantum computer would be a very different environment, where each qubit would have to function alongside a million (or a billion, or a trillion) others.

This is the fundamental challenge of scalability. And while most quantum computing companies are tackling the problem from the ground up—building individual qubits and sticking them together—PsiQuantum is taking the top-down approach.

Scale-First Thinking

PsiQuantum developed its system in partnership with semiconductor manufacturer GlobalFoundries. All the key components—photon sources and detectors, logic gates, and error correction—are integrated on single silicon-based chip.

PsiQuantum says GlobalFoundries has already made millions of the chips.

A diagram showing the different components of PsiQuantum’s photonic chip. Image Credit: PsiQuantum

By making use of techniques already used to fabricate semiconductors, PsiQuantum claims to have solved the scalability issue that has long plagued photonic approaches.

PsiQuantum is fabricating their chips in a commercial semiconductor foundry. This means scaling to millions of qubits will be relatively straightforward.

If PsiQuantum’s technology delivers on its promise, it could mark the beginning of quantum computing’s first truly scalable era.

A fault-tolerant photonic quantum computer would have major advantages and lower energy requirements.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The post Quantum Computing Startup Says It’s Already Making Millions of Light-Powered Chips appeared first on SingularityHub.

**Mozilla upravila prohlášení o ochraně soukromí a další dokumenty **Odstranila tvrzení, že neprodá vaše informace z Firefoxu **Vysvětluje to různými právními řády, v nichž ale chce fungovat

Google has announced an increased rollout of new AI-powered scam detection features on Android to help protect users from increasingly sophisticated phone and text social engineering scams. [...]

Posted by Lyubov Farafonova, Product Manager, Phone by Google; Alberto Pastor Nieto, Sr. Product Manager Google Messages and RCS Spam and Abuse

Google has been at the forefront of protecting users from the ever-growing threat of scams and fraud with cutting-edge technologies and security expertise for years. In 2024, scammers used increasingly sophisticated tactics and generative AI-powered tools to steal more than $1 trillion from mobile consumers globally, according to the Global Anti-Scam Alliance. And with the majority of scams now delivered through phone calls and text messages, we’ve been focused on making Android’s safeguards even more intelligent with powerful Google AI to help keep your financial information and data safe.

Today, we’re launching two new industry-leading AI-powered scam detection features for calls and text messages, designed to protect users from increasingly complex and damaging scams. These features specifically target conversational scams, which can often appear initially harmless before evolving into harmful situations.

To enhance our detection capabilities, we partnered with financial institutions around the world to better understand the latest advanced and most common scams their customers are facing. For example, users are experiencing more conversational text scams that begin innocently, but gradually manipulate victims into sharing sensitive data, handing over funds, or switching to other messaging apps. And more phone calling scammers are using spoofing techniques to hide their real numbers and pretend to be trusted companies.

Traditional spam protections are focused on protecting users before the conversation starts, and are less effective against these latest tactics from scammers that turn dangerous mid-conversation and use social engineering techniques. To better protect users, we invested in new, intelligent AI models capable of detecting suspicious patterns and delivering real-time warnings over the course of a conversation, all while prioritizing user privacy.

Scam Detection for messages

We’re building on our enhancements to existing Spam Protection in Google Messages that strengthen defenses against job and delivery scams, which are continuing to roll out to users. We’re now introducing Scam Detection to detect a wider range of fraudulent activities.

Scam Detection in Google Messages uses powerful Google AI to proactively address conversational scams by providing real-time detection even after initial messages are received. When the on-device AI detects a suspicious pattern in SMS, MMS, and RCS messages, users will now get a message warning of a likely scam with an option to dismiss or report and block the sender.

As part of the Spam Protection setting, Scam Detection on Google Messages is on by default and only applies to conversations with non-contacts. Your privacy is protected with Scam Detection in Google Messages, with all message processing remaining on-device. Your conversations remain private to you; if you choose to report a conversation to help reduce widespread spam, only sender details and recent messages with that sender are shared with Google and carriers. You can turn off Spam Protection, which includes Scam Detection, in your Google Messages at any time.

Scam Detection in Google Messages is launching in English first in the U.S., U.K. and Canada and will expand to more countries soon.

Scam Detection for calls

More than half of Americans reported receiving at least one scam call per day in 2024. To combat the rise of sophisticated conversational scams that deceive victims over the course of a phone call, we introduced Scam Detection late last year to U.S.-based English-speaking Phone by Google public beta users on Pixel phones.

We use AI models processed on-device to analyze conversations in real-time and warn users of potential scams. If a caller, for example, tries to get you to provide payment via gift cards to complete a delivery, Scam Detection will alert you through audio and haptic notifications and display a warning on your phone that the call may be a scam.

During our limited beta, we analyzed calls with Gemini Nano, Google’s built-in, on-device foundation model, on Pixel 9 devices and used smaller, robust on-device machine-learning models for Pixel 6+ users. Our testing showed that Gemini Nano outperformed other models, so as a result, we're currently expanding the availability of the beta to bring the most capable Scam Detection to all English-speaking Pixel 9+ users in the U.S.

Similar to Scam Detection in messaging, we built this feature to protect your privacy by processing everything on-device. Call audio is processed ephemerally and no conversation audio or transcription is recorded, stored on the device, or sent to Google or third parties. Scam Detection in Phone by Google is off by default to give users control over this feature, as phone call audio is more ephemeral compared to messages, which are stored on devices. Scam Detection only applies to calls that could potentially be scams, and is never used during calls with your contacts. If enabled, Scam Detection will beep at the start and during the call to notify participants the feature is on. You can turn off Scam Detection at any time, during an individual call or for all future calls.

According to our research and a Scam Detection beta user survey, these types of alerts have already helped people be more cautious on the phone, detect suspicious activity, and avoid falling victim to conversational scams.

Keeping Android users safe with the power of Google AI
We're committed to keeping Android users safe, and that means constantly evolving our defenses against increasingly sophisticated scams and fraud. Our investment in intelligent protection is having real-world impact for billions of users. Leviathan Security Group, a cybersecurity firm, conducted a funded evaluation of fraud protection features on a number of smartphones and found that Android smartphones, led by the Pixel 9 Pro, scored highest for built-in security features and anti-fraud efficacy1.

With AI-powered innovations like Scam Detection in Messages and Phone by Google, we're giving you more tools to stay one step ahead of bad actors. We're constantly working with our partners across the Android ecosystem to help bring new security features to even more users. Together, we’re always working to keep you safe on Android.

Notes

1. Based on third-party research funded by Google LLC in Feb 2025 comparing the Pixel 9 Pro, iPhone 16 Pro, Samsung S24+ and Xiaomi 14 Ultra. Evaluation based on no-cost smartphone features enabled by default. Some features may not be available in all countries. ↩

Tyto slečny nejsou skutečné. Obrázky pro jejich instagramy a tiktoky generuje umělá inteligence. Fanoušci to nevědí, nebo neřeší a rádi se nechávají klamat. „AI influencerky“ (v drtivé většině případů jde o ženy) byly fenoménem jara 2024, ale po roce je situace jiná.

Threat actors deploying the Black Basta and CACTUS ransomware families have been found to rely on the same BackConnect (BC) module for maintaining persistent control over infected hosts, a sign that affiliates previously associated with Black Basta may have transitioned to CACTUS. "Once infiltrated, it grants attackers a wide range of remote control capabilities, allowing them to execute Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

A previously undocumented polyglot malware is being deployed in attacks against aviation, satellite communication, and critical transportation organizations in the United Arab Emirates. [...]

Když odhlédneme od možnosti emulace, existují spousty her, které uvízly na starších platformách. To je případ i řady titulů z druhého PlayStationu, nejprodávanější konzole všech dob.

Byl vydán Mozilla Firefox 136.0. Přehled novinek v poznámkách k vydání a poznámkách k vydání pro vývojáře. V Nastavení v Rozložení prohlížeče lze zapnout Zobrazit postranní lištu a v Postranní liště lze zapnout Svislé panely (Vertical Tabs). Řešeny jsou rovněž bezpečnostní chyby. Nový Firefox 136 je již k dispozici také na Flathubu a Snapcraftu.

​The Polish Space Agency (POLSA) has been offline since it disconnected its systems from the Internet over the weekend to contain a breach of its IT infrastructure. [...]

Těšili jsme se na MacBook Air s čipem M4, dostali jsme Apple iPad Air s M3, update z procesoru M2 po necelém roce. I přes lehké zklamání jde o krásný stroj s displeji o úhlopříčkách 11 a 13 palců. Chyběl vám u předchozího Airu výkon? Patrně ne, ale teď s M3 dostanete o 20 % více. Dalších změn je ...

The Hunters International ransomware gang has claimed responsibility for a January cyberattack attack on Tata Technologies, stating they stole 1.4TB of data from the company. [...]

Komerční letecká doprava rok od roku sílí a útlum během pandemie je už dávnou minulostí. Tedy alespoň podle průběžně aktualizované statistiky Flightradar24. Bezprecedentním letovým prostorem nicméně i nadále zůstává relativně blízká Ukrajina. [********************] [********************] Oblíbená ...