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VECT 2.0 Ransomware Irreversibly Destroys Files Over 131KB on Windows, Linux, ESXi
VECT 2.0 Ransomware Irreversibly Destroys Files Over 131KB on Windows, Linux, ESXi
Sony’s Table-Tennis Robot Beat Elite Human Players With Unorthodox Moves
AI long ago surpassed humans at games like chess and Go. Now it’s powering robots that can challenge top athletes.
Peter Dürr could barely follow the table-tennis ball as it zoomed across the net, each strike’s trajectory designed to perplex the opponent. This was no ordinary match: Taira Mayuka, one of the top players in the world, was on one side—on the other, was a robot called Ace.
Mayuka launched a twisting smash that should have nailed a point. But in the blink of an eye, Ace answered with a return that kept the game alive. “Yes!” Dürr pumped his fist, knowing his team had engineered a historic moment for robotics.
Sony AI’s Ace is the latest autonomous system to be pitted against humans in a game. Since Deep Blue defeated chess champion Garry Kasparov in 1997, AI has trounced humans in Jeopardy, Go, StarCraft II, and car-racing simulations.
Ace has now taken these virtual victories into the real world.
Up against seven top human players, the AI-controlled robot arm beat three in multiple adrenaline-pumping games. Ace is an “important milestone,” wrote Carlos H. C. Ribeiro and Esther Colombini at the Aeronautics Institute of Technology and University of Campinas, respectively, who were not involved in the study.
Ace joins a humanoid robot that crushed the world record for a half marathon in Beijing last week. Neither project is focused on creating elite robotic athletes. Their main goal is to build next-generation autonomous machines that operate fluidly in the physical world.
“We wanted to prove that AI doesn’t just exist in virtual spaces,” Michael Spranger, president of Sony AI, said in a press release. “It’s not just tech you interact with in the virtual world—you can actually have a physical experience, and the technology is ready for that.”
Fast and FuriousRobots have come a long way. The clumsy, bumbling humanoids are gone, replaced by agile machines that can navigate all kinds of terrain. Autonomous vehicles once baffled by our roads now cruise the streets. Dexterous robotic arms are increasingly used for surgery, warehouse operations, or even delivering your lunch.
AI is a big part of that leap in capability. Robots are no longer strictly preprogrammed machines. They can now learn, adapt, make decisions, with generative AI models helping them understand what they’re looking at and, increasingly, how to interact with it. They’re a little less like yesterday’s rigid machines, and more like curious kids: Taking in a messy world, figuring it out, and getting better over time.
But compared to humans, robots still struggle to react on the fly, especially in fast-paced games like table tennis. The sport is a brutal mix of speed, perception, and precision. Players must read the ball and strike in a split second. There’s no margin for error. Too much power or the wrong angle, and the ball flies off the table. Too predictable, and you’ve likely handed your opponent the next point.
Professional players can smash shots up to 67 miles per hour and impart “a massive amount of spin on the ball,” exceeding 160 rotations a second, Dürr told Nature, making it tough for rookie humans and robots to react in time.
To Dürr, building a robot that could compete with elite human players was a “dream project” that “would challenge us to push the individual component technologies to their limits.”
Give Me Your Best ShotAce seamlessly fuses AI-based software and hardware.
For its eyes, the team placed cameras outside the court that could cover the entire playing area and track the ball’s position about 200 times per second. They also used an event-based image sensor to capture the ball’s spin. Together, these give the “robot the information it needs to anticipate where the ball is going to go, and plan how to hit it back,” said Dürr.
All that data feeds into multiple AI algorithms: Ace’s “brain.” One of these algorithms, borrowed from image processing, focuses on key parts of each frame to increase processing speed. Another, a deep reinforcement algorithm, learned to play table tennis in simulated matches. (Think student and coach: The model decides how to swing, where to aim, and how hard to hit. The “coach” gives feedback—good or bad—without demonstrating any moves.)
“So basically, we shoot a ball in simulation at our robot and let it do random things. At the beginning, it doesn’t know how to react…But eventually, it maybe be lucky enough to hit the ball back on the table,” said Dürr. And over countless iterations, it improves its play.
Expert players coached Ace too. In table tennis, the initial toss sets up the serve. Ace learned from human demonstrations adapted to its mechanics, so every toss follows the game’s rules.
After thousands of simulated hours, and with the help of yet another algorithm to weed out poor plays, the team built a library of realistic serves for Ace to draw upon.
The last component was the arm itself—and off-the-shelf didn’t work. “There’s nothing on the market that would let us play at the level we wanted to play,” said Dürr. So they built their own robot from the ground up. The lightweight, six-jointed arm can whip a racket at over 20 meters (roughly 66 feet) per second and react roughly 11 times faster than a person.
All assembled, Ace is a table-tennis powerhouse—but not unbeatable. Against five elite and two professional players, it dominated the less-experienced elites but fell to the pros. In the months since the team wrote up their results, the robot continued improving against top-tier competition.
Ace didn’t win by simply being faster than humans. Rather, it won by being inventive. It created different kinds of spins, varied its returns, and consistently landed the ball on target. When Olympic table-tennis player, Kinjiro Nakamura, watched Ace play, he was mesmerized by the robot’s unconventional moves. “No one else would have been able to do that. I didn’t think it was possible,” he said. But if a robot can pull it off, maybe humans can too.
For Colombini, who worked on soccer-playing robots, that kind of agility and improvisation is the real goal. Robots need to think on their feet and easily navigate the physical world to work safely with people. “I need the skills and the abilities of these robots, learned in these environments that are easy for us to see how they are evolving,” she said. “So, sports are just a proxy for what we want.”
The post Sony’s Table-Tennis Robot Beat Elite Human Players With Unorthodox Moves appeared first on SingularityHub.
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Why Secure Data Movement Is the Zero Trust Bottleneck Nobody Talks About
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Xiaomi releases MIT‑licensed MiMo models for long‑running AI agents
Xiaomi has released and open-sourced MiMo-V2.5 and MiMo-V2.5-Pro under the MIT License, giving developers another potentially lower-cost option for building AI agents that can run longer tasks such as coding and workflow automation.
Both models support a 1-million-token context window, the company said. MiMo-V2.5-Pro is designed for complex agent and coding tasks, while MiMo-V2.5 is a native omnimodal model that supports text, images, video, and audio.
The release comes as agentic AI workloads are putting new pressure on enterprise AI budgets. These systems can burn through large numbers of tokens as they plan, call tools, write code, and recover from errors, making cost and deployment control increasingly important for developers.
By using the MIT License, Xiaomi said it is allowing commercial deployment, continued training, and fine-tuning without additional authorization. Tulika Sheel, senior vice president at Kadence International, said the MIT License can make it attractive. “It allows enterprises to freely modify, deploy, and commercialize the model without restrictions, which is rare in today’s AI landscape,” Sheel said.
“On ClawEval, V2.5-Pro lands at 64% Pass^3 using only ~70K tokens per trajectory — roughly 40–60% fewer tokens than Claude Opus 4.6, Gemini 3.1 Pro, and GPT-5.4 at comparable capability levels,” Xiaomi said in a blog post.
The models use a sparse mixture-of-experts (MoE) design to manage compute costs. The 310-billion-parameter MiMo-V2.5 activates only 15 billion parameters per request, while the 1.02-trillion-parameter Pro version activates 42 billion. Xiaomi said the Pro model’s hybrid attention design can reduce KV-cache storage by nearly seven times during long-context tasks.
Xiaomi cited several long-horizon tests, including a SysY compiler in Rust that MiMo-V2.5-Pro completed in 4.3 hours across 672 tool calls, passing 233 of 233 hidden tests. It also said the model produced an 8,192-line desktop video editor over 1,868 tool calls across 11.5 hours of autonomous work.
Will enterprises adopt MiMo?Whether Xiaomi’s MiMo-V2.5 models can gain adoption among enterprise developers over closed frontier models for agentic coding and automation workloads will depend on how enterprises evaluate performance, cost, and risk.
“When assessing Xiaomi’s MiMo-V2.5 and its variants, enterprise developers should look at the total cost of ownership,” said Lian Jye Su, chief analyst at Omdia. “The TCO consists of token efficiency, cost per successful task, and the absence of licensing costs associated with proprietary models. Closed frontier models may still win on generic tasks, and the hardest edge cases, but open-weight models excel in agentic work that is high-volume in nature.”
Pareekh Jain, CEO of Pareekh Consulting, said enterprises should assess MiMo-V2.5 less as a replacement for Claude or GPT and more as a cost-efficient agent model for high-token workloads.
“The key benchmark signal is not just accuracy, but tokens per successful task,” Jain said. “Frontier models often reach higher success rates on complex coding benchmarks, but do so with massive reasoning overhead. MiMo-V2.5 is designed for Token Efficiency, meaning it achieves comparable results with significantly fewer input and output tokens.”
Jain said that could make MiMo-like models useful as “economic workhorses” for repetitive coding, QA, migration, documentation, testing, and automation workloads, while closed frontier models remain the quality ceiling for the hardest tasks.
Ashish Banerjee, senior principal analyst at Gartner, said models like MiMo could materially shift enterprise AI economics for long-horizon agents.
“When tasks stretch into millions of tokens, metered proprietary APIs stop looking like a convenience and start looking like a tax on iteration,” Banerjee said. “By contrast, MiMo’s MIT license, open weights, 1M-token context window, and relatively low pricing make private-cloud or self-hosted deployment strategically credible.”
However, Banerjee said this does not mean enterprises will abandon proprietary APIs.
“Enterprises will continue to use proprietary APIs for frontier accuracy and low-operations consumption, while shifting scaled, repeatable agent workflows toward open models where cost predictability, data control, and customization matter more,” Banerjee said. “In short, long-horizon, high-volume agentic AI will evolve into a hybrid market, with open models like MiMo breaking pure API dependence.”
Su added that adoption may face challenges because Chinese-origin models can trigger concerns in regulated Western organizations.
Critical Unpatched Flaw Leaves Hugging Face LeRobot Open to Unauthenticated RCE
Critical Unpatched Flaw Leaves Hugging Face LeRobot Open to Unauthenticated RCE
Budoucnost AI v Ubuntu
Why simplicity is the silent driver of hybrid workplace success
Hybrid work has reshaped how and where people collaborate. Offices are no longer the default destination for every interaction, yet they remain essential for moments that require focus, alignment, and human connection. In this reality, meeting rooms play a pivotal role, not because of the technology they contain, but because of how effortlessly people can use it.
The most successful hybrid workplaces share a simple truth: the best technology is the one that remains invisible in the room. When collaboration tools fade into the background, people can focus on ideas rather than interfaces. When they do not, friction quickly erodes adoption, productivity, and trust.
One experience across every space
Employees move between different meeting spaces throughout the day, from huddle rooms and project spaces to larger conference rooms. When each room comes with a different setup, interface, or connection flow, every meeting starts with uncertainty. Time is lost, confidence drops, and technology becomes a problem rather than an enabler.
Complexity is one of the main barriers to adoption in hybrid environments. Organizations struggle with underutilized rooms, inconsistent setups, and management overhead that grows with every additional configuration. The result is predictable: people avoid certain rooms altogether or fall back on ad-hoc workarounds.
A consistent, intuitive experience across all meeting spaces changes that dynamic. When users know exactly what to expect, regardless of room size or location, adoption increases naturally. Meetings start on time, collaboration flows more smoothly, and IT teams receive fewer support requests.
Technology as an enabler
The Flemish Government offers a powerful example of this principle in practice. In its Brussels hub, technology was deliberately positioned as an enabler for collaboration, not as a focal point. The goal was not to impress users with features, but to make connections effortless across more than a thousand meeting spaces.
By standardizing the collaboration experience with ClickShare solutions, employees could walk into any room and start collaborating and videoconferencing without instructions or training. This approach supported a people-driven hybrid workplace where flexibility and ease of use helped employees feel confident and connected, wherever they worked.
This emphasis on simplicity did more than improve user satisfaction. It removed friction at scale, allowing thousands of employees to collaborate in the same way, every time. Technology became something people relied on, rather than something they had to think about.
Higher adoption, lower IT burden
From an IT perspective, intuitive user experiences are not just a usability win. They are an operational advantage. Every extra step, cable, or configuration option increases the likelihood of errors and support tickets. Every exception to the standard creates additional management overhead.
Flexible, easy-to-deploy meeting room solutions reduce that burden. Organizations increasingly favor modular approaches that can be adapted to different spaces without introducing new user experiences or management models. This consistency simplifies deployment, monitoring, and updates, while giving IT teams greater control and predictability.
The outcome is a virtuous cycle. When users trust technology, they use it more. When they use it correctly, IT spends less time troubleshooting and more time optimizing. Adoption and manageability reinforce each other.
Designing for people, not just rooms
Ultimately, simplicity in the hybrid workplace is about designing for human behavior. People want to collaborate, share ideas, and move quickly between spaces. They do not want to learn new systems or adapt their workflows to the room they happen to be in.
Meeting room technology should respect that reality. By offering one intuitive experience across every space, organizations remove barriers to collaboration and create environments people want to use. As the Flemish Government experience demonstrates, when technology like ClickShare quietly supports collaboration instead of demanding attention, it becomes a true catalyst for hybrid work success.
In the end, the most advanced meeting room is not the one with the most features. It is the one people barely notice at all.
Why security matters in the meeting room
For years, meeting room technology was evaluated primarily on ease of use and audiovisual quality. If people could walk in, plug in, and start presenting, the job was considered done. That mindset no longer holds. Today’s meeting rooms are deeply connected to digital environments, and security has become a business-critical concern rather than a technical afterthought.
According to IDC, 50.8% of organizations now rank security as the most important factor when selecting collaboration and videoconferencing technology, ahead of price or quality considerations. That shift reflects a broader reality: what happens in meeting rooms has direct implications for data protection, regulatory compliance, operational resilience, and corporate trust.
The meeting room as an expanded attack surface
Hybrid work has fundamentally changed the role of the meeting room. It is no longer a closed, isolated space. Instead, it has become a convergence point where corporate networks, cloud services, collaboration platforms, and personal devices meet. Content is shared wirelessly, participants join remotely, and devices are connected dynamically, often by non-IT users.
This evolution significantly expands the attack surface. Collaboration environments are increasingly targeted because they combine sensitive data with high connectivity and frequent user interaction. Risks range from unauthorized access and data interception during wireless sharing to malware propagation via unmanaged or personal devices. In hybrid scenarios, these risks are amplified by blurred boundaries between secure corporate environments and external networks.
As a result, meeting room security can no longer be treated separately from the broader enterprise security strategy. Any vulnerability introduced in a meeting space can ripple across the organization.
Regulation moves meeting rooms into the spotlight
At the same time, regulatory pressure is intensifying. Across Europe, new and evolving frameworks such as NIS2, the RED Delegated Act, and the Cyber Resilience Act are raising the bar for connected devices. These regulations introduce mandatory requirements that span the entire product lifecycle, from secure design and development to patching, vulnerability management, and end-of-support practices.
Meeting room solutions clearly fall within scope. They process sensitive corporate information, connect to enterprise networks, and often rely on wireless and cloud-based technologies. Non-compliance is no longer a theoretical risk. It can lead to financial penalties, operational disruption, and reputational damage.
International standards like ISO/IEC 27001 further reinforce this shift by defining best practices for information security management, risk assessment, and operational trust. Together, these frameworks signal a clear message: security in collaboration environments is now a governance issue as much as a technical one.
Security without usability is a false promise
However, strong security alone is not enough. When security controls disrupt the user experience, employees look for shortcuts. Shadow IT, unsecured workarounds, and bypassed controls often emerge not from negligence, but from friction.
In meeting rooms, this risk is particularly acute. Meetings are time-sensitive, social, and often involve external participants. If connecting securely feels complex or restrictive, users will prioritize speed and convenience over policy compliance. Paradoxically, that increases risk rather than reducing it.
This is why security must be built in by design, not bolted on. Secure-by-design solutions embed encryption, authentication, access control, and update mechanisms into the core architecture, while keeping the user experience intuitive. Such approaches reduce reliance on manual processes and minimize the temptation for unsafe shortcuts, enabling secure collaboration without compromising productivity.
From IT checkbox to business enabler
The most forward-looking organizations now treat meeting room security as a strategic enabler. Secure, compliant collaboration environments build trust with customers and partners, support regulatory readiness, and reduce operational risk over time. IDC notes that 70% of CIOs cite risk mitigation as a top priority, reflecting the growing recognition that resilience is a competitive differentiator, not just a defensive measure.
Importantly, this shift also changes how decisions are made. Meeting room technology can no longer be selected in isolation by facilities or procurement teams. Excluding IT expertise from these decisions can compromise not only meeting rooms, but the entire digital workplace. Security, usability, and integration must be evaluated together, through a cross-functional lens.
Security as the foundation of modern collaboration
As meeting rooms continue to evolve, one principle becomes clear: security is no longer something you add later. It is the foundation that enables safe, scalable, and human-centric collaboration. Organizations that align regulatory requirements, recognized security standards, and enterprise-grade protection with friction-free user experiences are better positioned to support hybrid work, protect sensitive information, and earn long-term trust.
In today’s workplace, a secure meeting room is not just a safer space. It is a smarter one.
Can everyday IT decisions turn sustainability from intent into impact?
Sustainability strategies often start with ambition. Net‑zero targets, ESG frameworks, and environmental KPIs signal intent at leadership level. Yet whether those ambitions translate into real progress depends largely on what happens much closer to day‑to‑day operations. In practice, sustainability is shaped by the everyday technology decisions IT teams make.
According to a Barco ClickShare survey, 96% of IT leaders believe their department’s actions make a meaningful contribution to global sustainability, and 98% agree that IT should lead the way in achieving their organization’s sustainability goals. Sustainability has clearly moved from the margins to the core of the IT agenda. The challenge is no longer awareness, but execution
Sustainability lives in routine decisions
Much of the sustainability debate still focuses on large‑scale initiatives such as data centers, AI workloads, or cloud optimization. While those areas matter, the research highlights a less visible but equally powerful driver: routine IT purchasing and deployment decisions.
Hardware selection, device lifecycles, software updates, and meeting room technology all influence energy consumption, electronic waste, and long‑term resource efficiency. These decisions are repeated across organizations every year, often across hundreds or thousands of devices. Individually, they may seem small. Collectively, they define the environmental footprint of the digital workplace.
As a result, sustainability is now ranked alongside security and cost as a key consideration in IT purchasing decisions. This shift reflects a growing understanding that frequent replacements, fragmented solutions, and short product lifecycles quietly undermine sustainability goals, even when corporate commitments look strong on paper.
Motivation is high, but IT cannot act alone
The research also reveals how personal sustainability has become for IT leaders. Eighty‑two percent say they would not accept a role at an organization without a strong sustainability track record, underlining how closely environmental values are tied to professional identity in IT.
Yet motivation alone is not enough. Sustainable choices often require cross‑functional alignment, credible information, and long‑term thinking in procurement processes that are still driven by short‑term constraints. Without organizational support, sustainability risks becoming an added burden rather than a shared objective.
A real‑world example of sustainability by design
The Flemish Government illustrates how sustainability can be embedded into everyday technology decisions when it is treated as a collective responsibility. During the renovation of its Brussels hub, the Agency for Facility Operations prioritized sustainability across construction, materials, and technology, including ClickShare wireless collaboration solutions deployed throughout the building.
Rather than introducing different technologies for different rooms, the Flemish Government standardized its meeting room setup across more than 1,000 meeting spaces, using ClickShare solutions throughout. This decision reduced hardware fragmentation, simplified management, and avoided unnecessary duplication of devices, all of which contributed to more efficient use of resources over time.
Sustainability here was not positioned as a separate initiative. It was the result of choosing technology that could scale, remain relevant longer, and support flexible ways of working without repeated replacements or complex reconfigurations.
Integration is the real test
What often slows sustainability progress is not lack of intent, but lack of integration. When sustainable solutions are difficult to align with existing systems, hard to compare objectively, or challenging to measure, they struggle to survive multi‑stakeholder decision‑making.
IT leaders need sustainability to be built into solutions by design, not added as an afterthought. When environmental impact aligns with usability, manageability, and longevity, sustainable choices become easier to defend and easier to repeat.
Small choices, cumulative impact
The key takeaway is simple but powerful. Sustainability does not hinge on one transformational project. It is driven by consistent, repeatable decisions made every day. Extending device lifecycles, standardizing collaboration technology, and selecting solutions designed for durability all create measurable impact when applied at scale.
The remaining step is organizational alignment, ensuring that everyday IT decisions are supported as strategic levers for environmental progress. In the end, sustainability is not achieved through statements alone. It is built through the choices organizations make, one technology decision at a time.
Why the meeting room has become the true test of hybrid work
The way organizations support collaboration today still varies widely from space to space. Small huddle rooms, project spaces, and large boardrooms often come with different setups, different workflows, and different expectations.
For employees, that inconsistency creates friction. For IT teams, it creates complexity. And for organizations, it quietly undermines the promise of hybrid work.
What’s becoming clear is that the meeting room is no longer just a physical space. It is where hybrid work either flows or fails.
Meetings remain the backbone of collaboration
Despite new ways of working, meetings remain central to how teams align, make decisions, and move projects forward. People come to the office not to sit behind individual screens, but to connect, co‑create, and build momentum together.
In a hybrid reality, those moments increasingly involve a mix of in‑room and remote participants.
That places a new kind of pressure on meeting spaces. They must support different group sizes, different collaboration styles, and different platforms, without forcing users to think about the technology behind it.
When meetings start late because cables are missing, audio behaves differently per room, or content sharing feels unpredictable; attention shifts away from the conversation before it even begins. Hybrid collaboration only works when technology disappears into the background.
Consistency drives adoption
One of the most underestimated factors in hybrid collaboration is consistency in user experience. Employees move between meeting spaces throughout the day. Every change in setup introduces uncertainty and hesitation. Over time, that leads to avoidance, workarounds, or reliance on personal devices instead of shared spaces.
Organizations that succeed approach meeting rooms as a connected ecosystem rather than a collection of individual rooms. A consistent experience across huddle spaces and boardrooms lowers the learning curve, increases confidence, and drives adoption naturally. People know what to expect, how to start, and how to share, regardless of where they are.
For IT teams, that same consistency reduces support overhead and simplifies management. Standardized setups, predictable workflows, and centralized visibility replace the constant firefighting that fragmented environments create.
Technology should support people, not distract them
As collaboration technology evolves, expectations rise. Users no longer accept tools that require explanation or preparation. They expect meetings to start smoothly, participants to be seen and heard clearly, and content to be shared without effort.
This is where the balance between usability, security, and intelligence becomes critical. Ease of use drives adoption, but it cannot come at the expense of governance or trust. At the same time, intelligence must enhance the experience without adding complexity. Features like automatic audio calibration, speaker framing, or real‑time transcription only deliver value when they feel intuitive and reliable. The goal is not to showcase technology, but to create conditions where collaboration feels natural, inclusive, and uninterrupted.
From technology choice to workplace experience
Ultimately, the quality of hybrid collaboration is determined less by individual features than by the experience. Employees judge meeting technology by how it makes them feel: confident or hesitant, included or sidelined, focused or distracted.
From huddle room to boardroom, the most effective collaboration environments share the same principles. They are simple to use, consistent across spaces, secure by design, and flexible enough to evolve. They respect people’s time and attention, allowing teams to focus on ideas rather than interfaces.
As organizations continue to refine their hybrid strategies, meeting room solutions remain a revealing indicator. When collaboration flows effortlessly, hybrid work has a real chance to succeed. When it doesn’t, even the best policies and tools elsewhere struggle to compensate.
In the end, the future of hybrid work is not decided in strategy documents. It is decided, meeting by meeting, in the rooms where people come together to work.
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