Depois daquela que foi considerada a mais relevante apresentação, até agora, na Computex 2026, está na altura de conhecer um pouco melhor o que é o Nvidia RTX Spark, e quais os primeiros equipamentos a virem equipados com o mesmo.
The post Da Asus à Lenovo: Estes são primeiros portáteis equipados com o “super processador” Nvidia RTX Spark appeared first on Tek Notícias.
Apple will open the doors to developers at its Worldwide Developer Conference (WWDC) next week. Beyond a big push on AI and new OSes focused on stability and performance, what should developers expect? Mostly it’s about new APIs, Foundation Models, and App Intents; here’s what I’ve been able to figure out so far.
Apple has been building new Apple Intelligence APIs. One way it is achieving this is to take models made with Google Gemini, then distill and shrink them to fit inside (and run on) its devices. The progression will be to introduce these as a new crop of Foundation models developers can use in their apps. There’s more:
Apple continues on its quest to convince developers to make features of their apps available for use via Siri with App Intents. Doing so requires developers to wrap their apps into semantic structures, enabling speech/text-based interaction. To help them achieve this, Apple is expected to introduce a complete redesign of its App Intents framework.
While users must say “Hey Siri” to invoke its attention today, the assistant will respond more dynamically to natural language. Combined with App Intents, that means users should be able to ask Siri to use a combination of apps to make things happen on the device.
A developer might build a travel app that can take an itinerary and hand it across to a budgeting tool, for example. The idea is that with a spoken or typed command, a person will be able to call on a collection of apps to identify the destination, create an itinerary, put together a to-do list, prepare relevant letters or emails, and assemble a budget — all invoked by the original command.
We’re expecting Siri to become better at using the content of your screen, location, and other personal data as it seeks to provide more contextualized responses. We don’t yet know the extent or form in which Apple will make that information available to third-party developers to help contextualize their own apps. Apple’s focus on privacy matters a great deal, as does its relationship with regulators, some of whom will demand that data made available to Apple’s own apps be made available to third-party apps. These are important matters for Apple, app developers, and customers who want the convenience of AI without loss of privacy.
Swift should get better at migrating legacy code, but the big speculation around it concerns Liquid Glass. Will Swift make it easier for developers to build consistent user interfaces that work properly across all Apple’s platforms? If it does, then it will help overcome one of the big criticisms of Apple’s liquid-inspired UI. Swift will also usher in the tools developers need to support agentic application coding.
Vibe coding is everywhere, including within Xcode, which is expected to gain improved contextual and predictive understanding to help boost developer productivity. Xcode could also introduce improved real-time architectural debugging hints, aiming to make it easier for developers to build bug-free apps.
All the AI enhancements made available across Apple’s other products will also be offered to visionOS. That access takes the headset another step closer to becoming the Mac you wear like sunglasses.
Apple will abandon Intel support in macOS 27, which means developers will likely end support for legacy Intel applications in response.
Once the lights go down on WWDC, Apple’s real test will be to see if its announcements help make AI useful, private, and affordable to developers and their customers. After all, if Apple gets AI right on a platform basis, it should be able to offer the kind of on-device intelligence no one else can match, at no charge to developers or users — a move that might yet kick-start AI innovation across its platforms. This will provide a moat around the Apple ecosystem, inside which developers can explore new potentials for AI to give customers the tools they need at costs they can afford.
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Cristiano Amon, CEO da Qualcomm, subiu ao palco da Computex para apresentar a visão da marca para um mundo onde o agente de IA não está preso a um dispositivo. Trouxe consigo chips para todos os bolsos, desde portáteis de baixo custo à robótica.
The post Snapdragon C é a nova aposta da Qualcomm para dinamizar os portáteis Windows na gama de entrada appeared first on Tek Notícias.
Quarenta anos depois do início da era dos computadores pessoais, a NVIDIA está a trabalhar com a Microsoft e com as fabricantes de PCs para reinventar o computador como uma plataforma de agentes. Por dentro está o chip NVIDIA RTX Spark e há novas máquinas a caminho.
The post Jensen Huang antecipa um futuro em que o PC é gerido por um agente e em que há “um supercomputador de IA em cada casa” appeared first on Tek Notícias.
Scientists say melting sea ice may have pushed the Arctic Ocean past a tipping point, triggering changes that could reshape marine life for decades. Scientists have identified what appears to be a major and potentially irreversible change in the Arctic Ocean. According to a new study, climate-driven sea ice loss has altered the region’s chemistry [...]
Scientists have developed “living plastics” that can be programmed to break themselves down when triggered. Many plastic items are made for one-time use, but the materials can remain in the environment for years. Researchers are exploring a different approach: living plastics, materials built with microbes that can be activated to break down the polymer when [...]
Leishmania parasites appear to evolve through widespread genetic exchange, reshaping assumptions about how they adapt and spread. A parasite long thought to spread mostly by cloning itself may be far more genetically dynamic than scientists once believed. A new international study suggests that Leishmania—a group of microscopic parasites responsible for debilitating tropical diseases—regularly swaps genetic [...]
Mexican officials have announced what experts are calling the most significant archaeological find of the last ten years: a pristine, 1,400-year-old Zapotec tomb discovered in the state of Oaxaca. Located in San Pablo Huitzo, the ancient mausoleum has stunned researchers with its exceptional state of preservation and, most notably, a monumental sculpture of an owl, […]
The post ‘Discovery of the Decade’: 1,400-Year-Old Zapotec Tomb Found in Mexico appeared first on Curiosmos.
I will sit right down (waiting for the gift of sound and vision)
And I will sing (waiting for the gift of sound and vision)
— David Bowie
Apple is planning to sponsor and present 14 AI research papers at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in Denver next week, just days before it introduces major new AI features at its Worldwide Developer Conference (WWDC).
The fresh research explores topics such as using LLMs in image generation, quality testing, and user interface prototyping. For months, supply chain rumors have hinted at a radical evolution for the ubiquitous AirPods in the form of built-in ambient cameras. With this in mind, it’s noteworthy that one of the research papers, “From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs,” specifically seems to cater for such use cases.
In application, this tech promises profound potential for accessibility. It suggests that someone with limited vision might be able to get their AirPods to guide them through an unfamiliar room. This is something that should fit well inside the company’s ongoing narrative around machine vision intelligence and accessibility.
Accessibility is central to a second presentation to be made during the Generative AI for Sign Language Workshop at the conference. Led by Apple’s Colin Lea, who presented a session on speech tech for people with speech disabilities at a similar event, this focus on machine vision intelligence and accessibility is entirely deliberate.
Indeed, even though the industry and critics condemn Apple for lagging behind others in the AI space, the publication of these 14 papers at a key industry session just before WWDC shows the company has been doing a great deal of foundational work behind the scenes. We expect this work to bear its first fruit at WWDC, and it is important to understand the disclosures as a power move. Apple is using the show to celebrate its strengths in AI development, and given its decade work on Apple Car, many of those strengths relate to machine vision intelligence.
Apple is so advanced in the field it is already deploying advanced models that empower consumers. Just last week, it promised to introduce a new tool called Image Explorer in VoiceOver to help partially sighted customers later this year. Among many other features, this will arrive alongside a system to let disabled users control compatible wheelchairs with spoken word commands.
Apple is pushing boundaries all the way. Its paper “VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models,” proves it is actively refining models to process live video instantly on consumer hardware.
The difference between Apple and its competitors is deep and philosophical. I’d argue that while others build cloud-dependent chatbots, Apple is embedding AI tools that solve real human problems in its systems.
This extends to its plans at WWDC, where it will introduce a raft of AI tools made with help from Google Gemini and a host of AI services it has developed in house. The latter will include a great many accessibility tools of the type it will discuss at the CVPR event, the beauty of which being that they will run privately and on-device. You could argue that while other tech giants are using AI to automate white-collar jobs or build a surveillance dystopia, Apple is searching for applications of machine intelligence that solve real human problems.
The company seems pretty realistic about the ongoing AI transformation. It recognizes that its own ecosystem must become a peer player in the emerging AI-augmented environment the tech industry seems intent on building.
With that in mind, Apple is willing to engage in strategic, mutually beneficial partnerships, such as permitting Siri to use third-party AI services to handle requests. But even as it does that, it is also focusing on those areas in which it can make a unique difference, such as the accessibility features Apple as a platform has always provided.
As the Vision Pro demonstrated, and as these mythical video-enabled AirPods will in the future suggest, computers are steadily getting smarter. So, the way we use them is also changing as we move away from the rigid boundaries of keyboards, mice, and touchscreens. Apple’s quest for ambient computing began long before the sudden gold rush for generative AI chatbots.
In the end, as the latter services become commodified, the way humans interact with them will define the next generation of hardware. That’s exciting for Apple, given that product design is where it excels. The era of sound and vision may finally have arrived.
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Welcome to Edition 8.43 of the Rocket Report! A disclaimer: No one yet fully appreciates the ramifications of Blue Origin's New Glenn rocket explosion Thursday night on its launch pad at Cape Canaveral, Florida. What we know as of this writing is that much of Blue's sole orbital-class launch pad has been destroyed, and the New Glenn rocket will be grounded for an extended period of time. It is too soon for any hot takes, at least until the Sun rises at the Cape on Friday morning. One thing I am sure of is that we will be writing about this event for weeks, months, and years to come.
As always, we welcome reader submissions. If you don't want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets, as well as a quick look ahead at the next three launches on the calendar.
Charting China's contribution to space junk. There's a problem with the drastic uptick in Chinese space launches over the last decade. China appears to be ignoring long-established norms about disposing of the upper stages of rockets, Ars reports. These are the parts of the vehicle that separate from the first stage of a rocket and push a satellite or spacecraft into orbit. In the early decades of spaceflight, launch operators routinely left upper stages in orbit after they released their payloads. But most launch companies today reserve enough propellant in their rockets to remove them from orbit to avoid the risk of spent upper stages becoming a source of space debris. But China is not following this trend. There has been striking growth in China’s rocket body mass. In the past five years, the mass of Chinese rocket bodies in long-lived orbits has risen from less than 100 metric tons to 252, according to a new analysis by Space Domain Awareness expert Jim Shell.
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