By Deepti Pathak Roblox is expanding its safety features for younger players. The platform has launched Roblox Kids and…
The post Roblox Expands Kids and Select Accounts With New Safety Features in India appeared first on Fossbytes.

Source:: Fossbytes

By Vikhyaat Vivek Honor Watch 6 is launching globally with a 35-day battery claim, bright display, wet touch controls, and dedicated football and badminton tracking modes.

Source:: Digital Trends

By Vikhyaat Vivek MIT researchers have developed an AI memory system that lets robots remember objects, locations, and details from real-world environments over time.

Source:: Digital Trends

France’s OVHcloud is moving beyond cloud infrastructure into frontier AI model development, a shift that could test whether Europe can produce another serious alternative to US and Chinese AI systems.

The company, one of Europe’s leading homegrown cloud providers, plans to train a family of models from scratch and aims to open-source them once they meet its performance targets, CEO Octave Klaba told Reuters.

The move would put OVHcloud in closer comparison with Mistral AI, the Paris-based model developer that has become Europe’s most visible challenger to US AI labs.

Klaba said the economics of building advanced AI models have changed, with improvements in chips, training methods, and synthetic data reducing the cost of a project that may once have required about $1.15 billion (€1 billion) to now cost less than $230 million (€200 million).

Reuters reported that OVHcloud said one of its models has completed pre-training on Jupiter, the Germany-based EuroHPC supercomputer described as Europe’s fastest and its first exascale system, though the company has not yet disclosed detailed performance benchmarks.

This comes as European governments and enterprises are increasingly having to assess AI infrastructure through the lens of data governance and continuity of access, rather than performance alone.

Those concerns were sharpened this month after Anthropic said a US government export-control directive required it to suspend access to its Fable 5 and Mythos 5 models by foreign nationals inside and outside the US.

Training is only the opening cost

OVHcloud’s lower cost estimate does not capture the full cost of becoming a frontier AI model provider, said Neil Shah, vice president for research and partner at Counterpoint Research.

The $230 million (€200 million) figure likely refers mainly to the initial training run, Shah said. Once trained, however, models require continued investment because they can become depreciating assets if they are not improved with fresh data.

OVHcloud would also need to spend on fine-tuning, post-training, sovereign infrastructure, storage, security, distribution, and enterprise support. It would also need enough scale to make model serving economically viable against established AI providers such as Google and Anthropic.

“Model is seen as a depreciating asset if it is not consistently trained and kept fresh with the data,” Shah said.

That makes OVHcloud’s plan a test not only of technical capability, but also of policy support and economic viability. If the company falls short, enterprises may be reluctant to shift workloads away from more established models.

The lower training cost could still give OVHcloud a credible starting point, said Charlie Dai, principal analyst at Forrester.

The budget range can be enough to produce a credible frontier model as efficiency gains reduce the cost of entry, Dai said. But enterprise competitiveness will depend on sustained capabilities beyond training, including inference efficiency, data pipelines, evaluation frameworks, and ecosystem reach.

Buyers need proof

OVHcloud’s plan remains an expression of intent rather than demonstrated capability, said Sanchit Vir Gogia, chief analyst at Greyhound Research, pointing to the absence of published benchmarks and other details.

“$200 million now buys a serious training run,” Gogia said. “It does not buy a serious enterprise AI franchise.”

Gogia said questions around sovereignty also extend to the infrastructure used to train the model, noting that pre-training was run on Jupiter rather than on infrastructure owned or controlled by OVHcloud.

The system is a publicly owned European supercomputer in Germany that runs on American silicon, Gogia said, adding that this shows how partial European AI sovereignty remains.

CIOs will need evidence that the models can be supported in production, governed effectively, audited when needed, and exited without major disruption.

Gogia said a European-owned model could reduce some dependence on US and Chinese providers, but would not remove jurisdictional risk. “Sovereignty does not abolish the off switch,” he said. “It changes whose hand rests upon it.”

OVHcloud’s move into model development could also alter the lock-in risks enterprises need to assess, Gogia said. Customers may be able to move cloud infrastructure later, but find it harder to shift AI workloads once applications and processes are built around a provider’s models and governance tools.

Source:: Computer World

By Deepti Pathak Google has released its June Pixel Drop update for compatible Pixel smartphones, bringing a mix of…
The post June Pixel Drop: New camera features, Gemini improvements and more appeared first on Fossbytes.

Source:: Fossbytes

By Alina Maria Stan China’s top diplomat Wang Yi announced on Wednesday that Beijing is “accelerating the establishment of a global AI cooperation organization” and invited all countries to join. The comments came as the G7 summit in France wrapped up with discussions about giving “trusted partners” access to leading US AI models, according to Reuters. Two competing visions […] This story continues at The Next Web

Source:: The Next Web

By Ana-Maria Stanciuc A federal court has temporarily shut down what the US Federal Trade Commission describes as a sprawling enterprise of deceptive subscription apps, freezing the operations of 15 corporations and eight individuals accused of charging consumers without permission and making cancellation deliberately hard. The order, granted at the agency’s request, came alongside a complaint filed on […] This story continues at The Next Web

Source:: The Next Web

Adobe’s Firefly Graph is now available to Creative Cloud customers, offering a node-based workflow tool designed to help business create content at scale with generative AI (genAI). 

With Firefly Graph, users can connect multiple tools in visual workflow, with each “node” performing a specific task before passing its output to the next node. This gives creative professionals more control over generated outputs, according to Adobe, and makes it easier to try out ideas by swapping, adjusting or adding components.

For example, a user could start with a text prompt box that connects to a node that generates an image using an AI model from Adobe or third-parties such as Google and OpenAI. Further along the chain, the user could add nodes to remove a background or upscale an image, for instance, before producing an image, video or other asset ready for use.

Changing one aspect, such as adding a reference image or adapting the text prompt, would change the final output.

It’s an approach similar to node-based workflow tools such as ComfyUI — a startup valued at $500 million which claims more than 4 million users. Others include Weavy, acquired by Figma last year for a reported $200 million. 

With so many AI tools available to creative professionals, workflows can get complex and hard to replicate, said Elliot Sedegah, senior product marketing manager at Adobe. Firefly Graph provides access to more than 300 different node types, including images, video editing and AI generation tools across Adobe’s portfolio and third-party tools. 

“Whether you’re working at a mom-and-pop shop or a larger enterprise, you’re looking for consistency and then bringing that into a workflow so that you’re not hopping in and out of different tools,” he said. “Putting all that together takes massive amount of time, and sometimes it’s very difficult to even know what you did.”

Once created, workflows can be shared across an organization as repeatable processes for other individuals or teams to use. “Think of that rock star creative that you have and the recipes they create: those are now canonized as workflows, as assets, that the rest of the organization can take and reuse over and over again,” said Sedegah.

In addition, while creative professionals are needed to created high quality assets, reusable workflows can be put into the hands of broader teams to create content for large audiences, said Sedegah.

Firefly Graph addresses a challenge that most large creative organizations face, said Lisa Gately, principal analyst at Forrester — namely that their best creative workflows “live inside the heads of a few experts.

“Teams can generate images and video with AI, but reproducing the exact sequences of creative decisions, model selections, edits, and refinements that lead to a high-quality result is difficult and inconsistent. Firefly Graph turns those workflows into reusable assets,” she said.

While other node-based workflows aim to address similar problems, Adobe’s pitch is that Firefly Graph provides customers with the benefit of integration into its product suite. 

“Firefly is a full, broader AI creative studio, not just a node-based tool, so [Firefly Graph] is a part of a bigger picture,” said Sedegah. “The strength is having everything in one place with the tools that people know.” 

“Where Adobe differentiates is in enterprise integration,” said Gately, with Adobe connecting Firefly Graph to a range of other Adobe tools. Those include Creative Cloud applications; Firefly Boards for ideation; and Firefly Creative Production. 

“The workflow becomes part of a broader content supply chain instead of a standalone creation tool,” she said. ”Organizations committed to other tools are unlikely to migrate for a node-based canvas — making a change is about the broader content supply chain.”

Project Firefly is available now to Adobe Creative Cloud for Enterprise subscribers (pricing details were not immediately available), and in a public beta for individual users; the wait list sign up is available here.

Source:: Computer World

Beth Tschida, who became Jamf CEO in May after serving as CTO and as interim CEO, is the first woman to lead the company in its near 25-year history. I spoke with her this week at the London Jamf Nation event, where the company introduced its new AI Governance solution.

How the transition to CEO is going 

“It’s been a great privilege and an adjustment,” she said. “Jamf has always been a company deeply focused on culture, which is exactly why I love being here. Having the ability to influence and improve that culture from this role is something I feel very supported in doing.”

The last few years have seen a variety of changes at Jamf, which was briefly a public company. “We’ve come through a period of change, not all of it easy,” Tschida said. “But we now have a great partnership with Francisco Partners. We’re private, we’re focused on solving customer problems, and we’re finding ways to lean into what we’re good at.”

Women in tech and mentorship

Tschida is a good choice to lead a software engineering company, as she’s an engineer herself. She originally joined Jamf as vice president for software engineering in 2018, moving up to CTO in 2022. She’s also one of the few women in leadership positions in tech. (To Jamf’s credit, the company also has CIO Linh Lam on its team.)

“I think it’s important for women to stay deep in the tech, build their skills and find their voice confidently,” Tschida said. “You’ll never know all the technology out there. Nobody does. What matters is the ability to keep adapting and evolving.”

Tschida stressed the importance of mentorship. “I feel very honored to have a chance to be a role model for other women,” she said. “I had women who forged a path for me, including a female CIO early in my career who I asked to mentor me and learned an enormous amount from. I’m certainly not the first woman in tech, but I do want to play my part in helping others grow in their careers.

“Ultimately, I want to be respected for what I do, not for my gender. That’s how everyone should be judged.”

AI Governance

Tschida’s product focus means she knows what matters to Jamf. “If you focus on the problems customers have and how your product can help fix them, that’ll take you to where you want to go.”

For many in the enterprise, both in and beyond the Apple space, the next big problem is AI — how to deploy it, how to manage it, and how to regulate it.

AI Governance is a new Jamf solution that has been developed in response to those pain points. Countless surveys, including Jamf’s own data, show that AI is being widely used across every company, but IT lacks visibility into its use. It’s hard to know what data is being shared with AI tools, which services are being used, and how to report on that use effectively — particularly in regulated industries.

AI Governance is designed to make it possible for anyone managing an Apple fleet to get granular insight into AI use across their Mac, iPhone, and iPad devices. It uses telemetrics to shed light on that use, offers governance and management tools to help IT gain better oversight and control over it, and provides highly comprehensive reporting tools suitable for internal or regulatory review.

“AI is happening whether organizations know it or not,” said Tschida. “That’s the problem. You can try to block it, but that’s very hard to do well. It’s far better to build visibility and governance around it.”

The offering makes it possible for companies to enable the AI use they already know is taking place while protecting corporate interests and enabling fast and accurate reporting. You can find out more details here.

Jamf

Empowering better AI

Jamf’s approach is focused on endpoint management. AI Governance means IT can see what’s running on a device, categorize it, and understand what AI tools and models are in use. “If you know how people are running AI on your fleet, you can open it up safely. Then all of your customers and employees can find their way to figure out how AI is going to optimize their workforce,” she said.

What does that look like in practice? Think of it as an orchestration layer. IT can define different AI configurations for different teams: HR might use one set of models, engineers another. And admins can apply opinionated postures per group: what models are permitted, what cloud services they connect to, what’s visible to IT versus the CISO versus the CFO. “It’s an extension of what Jamf has always done, it just now applies to AI endpoints too.”

What about regulatory complexity across geographies? “A lot of governance controls are shared across regulations; a good base set is a healthy way to run regardless. But each regulation has its own twists. Our mission is to make sure customers operating in different markets can expand on that base and fit the specific models and regulations they need, getting the right configurations to the right devices.”

Managers must prepare for AI cost challenges

There’s a second dimension beyond management — cost. The industry is developing quickly, with new AI models appearing almost every week. Yesterday’s leading LLM is tomorrow’s fading star, even while the cost of AI infrastructure goes through the roof. As that churn slows, investors will want to start seeing returns on their bets, which is why token costs — the price of running AI services, at least in the cloud — are climbing fast.  

As costs become more realistic, that’s going to change the nature of AI deployment from the laissez-faire, anything goes approach to a more strategic management of such use. “Models keep dropping fast, but token costs are only going to go up,” said Tschida.

“Organizations will need to decide: just because you can build something with AI, should you? What’s the right model for what work? We’re helping customers move from, ‘We’ll just block it’ or ‘We’ll turn it on and hope for the best,’ toward a place where they have a real viewpoint and can manage and change that viewpoint over time.”

The ever-changing AI world is also prompting Jamf to make more of its APIs externally available. “We’re used across every industry and every geography, at every scale,” said Tschida. “There’s no way we can build every workflow every customer needs, we’d never get to all of them.”

Embracing openness also helps build future foundations. “Thinking about where we’re heading next — agentic endpoint management — having platform APIs allows our customers to build things they can imagine, that we can learn from, in a way that solves their specific problems.”

Apple, WWDC, and the enterprise

Tschida’s comments come shortly after WWDC 2026, where Apple introduced a raft of AI advances that formed a strong foundation for its future, improvements that matter to Jamf. “When Apple innovates, Jamf celebrates,” she said.

“Apple is doing great things in their AI ecosystem, revamping Siri, expanding their AI capabilities, making Apple the platform people want to run AI on because those machines simply perform better. Our job is to take what Apple builds and bring it into the enterprise in the way that enterprises actually need it.”

Most of the industry recognizes that Apple’s enterprise story has changed dramatically as its products see accelerating use, and momentum is not slowing. Tschida reflected on how just a few years ago, Apple in the enterprise was an option in employee choice programs. “Now it’s becoming the clear choice,” she said. “We expect that trend to continue. And the more Apple invests in AI running natively on device, the stronger that argument gets.”

Where is Jamf going?

AI Governance is a unique answer to an increasingly important set of questions that are now beginning to affect the IT management of Apple’s platforms. (It’s not clear whether anything as sophisticated exists for other platforms at al, but as the need to manage AI grows, demand for such solutions will grow.)

Ultimately, the company’s latest move reflects Jamf’s inherent strategy under its new CEO. “Focus on customers, listen to them, solve their problems, and don’t throw tech at it. Ask: what’s the problem? Can we solve it? That focus is what takes you where you need to go.

“We’re on a good trajectory, customers stay with us, and the culture has always underpinned us. Now we’re finding ways to lean into it even further,” she said.

You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon and subscribe to The Core.

Source:: Computer World

By Vikhyaat Vivek Xreal Aura is now open for reservations, bringing Android XR, Gemini, and spatial computing to tethered smart glasses expected to launch in Fall 2026.

Source:: Digital Trends

By Paulo Vargas Samsung Display’s AWE USA showcase puts RGB OLEDoS at the center of its XR ambitions, with ultra-bright panels for MR headsets, prototype smart glasses, and longer-term spatial display concepts.

Source:: Digital Trends

By Shikhar Mehrotra Samsung’s next Galaxy AI feature takes a photo of your dog or cat and uses AI to flag potential health issues before they become a vet emergency.

Source:: Digital Trends

By Shikhar Mehrotra The Osmo Pocket 4P is DJI’s most capable pocket gimbal yet, starting at roughly $562 in China with no global timing to be announced.

Source:: Digital Trends

By Deepti Pathak The Battlegrounds Mobile India Pro Series (BMPS) 2026 has finally reached its most crucial point after…
The post BMPS 2026 Grand Finals Set for Jaipur as 16 Teams Battle for ₹4 Crore Prize appeared first on Fossbytes.

Source:: Fossbytes

First steps — the room you enter

There’s a familiar hush when you sign in: the glow of a screen, a curated playlist sliding under your awareness, and the subtle shift in the interface that feels like a door closing behind you. What stands out first are the little details designers add to make that emptiness warm — a velvet-toned background, soft shadows beneath tiles, and tiny motion cues that suggest depth without shouting. These are the touches that make a session feel premium from the moment you arrive.

Little details that feel expensive

Small elements change the tone. The weight of a button animation, a custom sound that punctuates a successful spin, or a micro-interaction that gives a gentle nudge when a new chat message appears — they create a consistent mood. Some players even plan their evenings around sensory comfort: a silk scarf over the shoulders, a lamp dimmed to amber, and food that fits the mood. For those who like takeout during long sessions, some order from local favourites such as https://www.delhi6indianbistro.ca/ so the meal arrives without breaking the flow of the night.

Live rooms and the human touch

When the experience shifts to a live room, the scene changes but the premium feeling persists. There’s a human voice in a headset, carefully chosen lighting on the table, and the sense that the room exists beyond the pixels — a curated presence that blends performance with authenticity. Chat threads fill with small talk, compliments about a dealer’s outfit, and offhand jokes that feel like being at a late-night lounge. Those social sparks are as much part of the entertainment as the interface itself.

Rituals and the tenor of the evening

What turns a session into an occasion are rituals — the little things people repeat because they make the night feel intentional. Maybe it’s brewing a particular tea, slipping into a specific playlist, or arranging the room lights just so. Below are a few rituals that often surface in conversations about memorable nights:

• Lighting: a warm lamp instead of overhead fluorescents
• Sound: a low-volume soundtrack that matches the game’s pace
• Comfort: a favorite chair, a soft blanket, a deliberate cup placed within reach

Textures, palettes, and interface whispers

Designers talk about palettes and typography, but users feel them. A deep indigo background makes gold accents pop; matte card surfaces read as tactile even on glass. Animations that avoid sudden flashes create a sense of calm; small delays and easing curves give the interface a human rhythm. Then there are the background textures — grainy paper, brushed metal, or velvet — each offering a subliminal cue about the space you’re inhabiting. Those choices make the experience feel handcrafted rather than mass-produced.

The social afterglow

After the session, the evening can linger in private rituals: a short walk to clear the head, a late-night call with a friend to share the highlights, or scrolling through captured screenshots that look more like travel photos than game moments. The afterglow is often less about outcomes and more about stories — the quirky dealer, a chat banter that became an inside joke, or the way a soundtrack synced perfectly with a window of time. These shared narratives are what people remember.

Why the small things matter

It’s easy to miss how much a sound effect or a gently pulsing button shapes an impression, but those small things stack into a whole. Premium feeling is rarely about price tags; it’s about attention to comfort, coherence, and the way social cues are woven into a digital room. An evening that feels considered — from lighting and food to the hum of the interface — becomes a story you’ll tell later, the sort of memory that turns a single session into a ritual worth repeating.

By Ana Maria Constantin A man with ALS has been using a brain implant to speak independently for more than 3,800 hours over the past two years, producing nearly 2 million words with an average speed of 56 words per minute. The study, published Monday in Nature Medicine by researchers at the University of California, Davis, represents the longest […] This story continues at The Next Web

Source:: The Next Web

OpenAI has signed a partnership agreement with Visa that allows the company’s AI agents to use the payment card for e-commerce transactions. The agreements lets users shop for everything from groceries and diapers to airline tickets without having to manually enter a lot of information.

“As AI agents become active participants in the economy, Visa’s focus is on ensuring that transactions are reliable, secure, and seamless,” Visa Chief Product and Strategy Officer Jack Forestell said in a statement, according to AP.

The pact means AI agents can complete purchases on a user’s behalf at virtually any merchant that accepts Visa. Details about the financial terms of the agreement, or whether specific transaction fees will apply, were not immediately detailed.

Source:: Computer World

By Shimul Sood Microsoft is bringing Copilot Cowork to businesses worldwide, promising an AI agent that can complete complex, multi-step tasks while offering flexible pay-as-you-go pricing.

Source:: Digital Trends

By Sudhanshu Kumar Mangalam Apple’s long-rumored camera-equipped AirPods could arrive in 2027, giving Siri the ability to understand a user’s surroundings and answer questions about the world around them.

Source:: Digital Trends

By Adarsh Verma Many websites will show you different prices, contents, ads, and search results depending on where you…
The post ProxyWing Residential Proxy: A Practical Review for Marketers and Researchers appeared first on Fossbytes.

Source:: Fossbytes