Qualcomm

RT @stephensopko: @cristianoamon on stage at @Qualcomm Dragonwing IoT NA in San Diego talking about the evolution of the company, fundamentally changing with AI. Codevelopement, open source ecosystem for AI across the cloud with Modular, and expanding from the device into the data center.

RT @MaribelLopez: This chart shows the transformation of @Qualcomm and how Dragonwing changes it. Let's talk about #IoT evolution #Dragonwing Day

With the smartphone serving as the personal AI context anchor, which device will drive the next agentic experience?

RT @cristianoamon: We’re in the early days of AI and there’s still a lot to be built. Great conversation with @alexeheath on Sources, live at @Snapdragon Summit. We covered AI smartphones, wearables, data enter and 6G.

This Week in AI: 🔵 We explore how #6G could adapt to evolving AI applications, helping networks respond to changing traffic and performance demands as AI capabilities continue to advance long after initial systems have been deployed: 🔵 We released WoS Porter, an open-source agentic AI tool that automates key steps in porting, testing, and optimizing x64 Windows applications for native Windows on Snapdragon, helping developers reduce weeks of engineering effort to hours: 🔵 @Modular made the complete MAX source code publicly available, a step toward building a broader ecosystem around a common software foundation for heterogeneous AI compute:

RT @cristianoamon: West Point grad. Army helicopter pilot. Two-time tech CEO. Chair of @Qualcomm's Board. And now the 2026 Director of the Year for Corporate Governance. Congratulations to Mark McLaughlin, and thank you for your leadership.

RT @cristianoamon: Unlike cameras and radar, V2X can detect hazards around corners and beyond line of sight. @Qualcomm V2X chipsets will support nearly all major regional V2X deployments on one platform, including Japan’s 760 MHz standard.

RT @Modular: AI shouldn’t be locked to one hardware vendor or chip. To democratize AI compute, we’ve made MAX source available with Modular 26.7. 🧵

Live Translation isn’t just for travel anymore. Watch as Qualcomm's Andrew Laister shows the revolution of real-time translation from subtitles to hearables powered by @OneTakeAudio and @Snapdragon 8 Elite Gen 6.

RT @sandiegofc: Qualcomm tech is powering the next generation at Right to Dream San Diego ⭐️ From the classroom to the pitch. Through access to technology and hands-on learning experiences, @Qualcomm is helping players build skills that extend beyond the classroom. Together, we’re building what’s next.

RT @donnymac: Lessons first. Then cleats on and to the pitch. ⚽ Great to see @Qualcomm, @sandiegofc and @Right2Dream_SD giving these players new ways to learn and grow. Having @Emaboateng drop by class is a pretty good bonus.

Continuous sensing creates memory bottlenecks on edge devices. Qualcomm & @ramin_m_h, Co-founder and CEO of @LiquidAI are advancing on-device AI with Liquid Context on @Snapdragon — compressing multimodal inputs for fast, low-power execution.

RT @donnymac: I'm no developer, but I took a stab at building on @arduino VENTUNO Q. With a little help, I even got a plant talking. Watch the video, then comment on our YouTube with what you'd build for a chance to win one yourself!

This Week in AI: 🔵 At #AES, we introduced the @Snapdragon XR Verification Program, aimed at helping enterprises assess XR solutions, including AI services, for deployment at scale: 🔵The Qualcomm #Dragonwing FWA Gen 6 Elite Platform adds agentic AI directly into the modem, enabling real-time congestion mitigation, traffic prioritization, and network optimization for FWA deployments: 🔵 In the @Forbes #CIO newsletter, @durga_malladi, EVP & GM, Technology Planning, Edge Solutions, and Data Center at Qualcomm, shared how enterprises can optimize AI deployments across on-device, on-prem, and cloud infrastructure:

Scaling AI hypothesis: ↗️ More compute = Better performance Scaling AI reality: ↘️ Less data movement = Better performance Check out the blog post to see why a near-memory compute architecture makes all the difference in inference:

Agentic AI isn't just for your personal life—more and more businesses rely on AI agents to keep things running efficiently. What are some agentic use cases you've noticed at work?

We are gratified that the jury found Arm breached its long-standing Architectural License Agreement (ALA) with Qualcomm, failed to honor its commitments, and intentionally acted to disrupt Qualcomm's businesses. Together with Qualcomm's prior court victory, this outcome further exposes Arm’s broader intentions to harm Qualcomm and its ecosystem. This outcome is a victory for innovation and competition, and we remain focused on developing and delivering industry-leading semiconductor products including our Oryon CPUs to customers and consumers worldwide.

What is the primary catalyst for mass agentic AI adoption?

The future of connectivity is intelligent infrastructure. At #NetworkX2026, Qualcomm Dragonwing showcased how AI-powered innovations can help providers evolve networks into intelligent platforms. #Dragonwing

As AI Agents become our main interface they'll operate our devices at machine speed. How will our devices keep up? In our demos, distributing a task between on-device and cloud compute cut token usage by ~30% and cost by 4x, helping agents operate more efficiently at scale.

This Week in AI: 🔵 One year after joining Qualcomm, @arduino's UNO Q platform has surpassed 270,000 units shipped worldwide: 🔵 On October 16, the @Fincantieri Maritime Dual-Use Hackathon brings together developers to tackle maritime engineering challenges using Arduino VENTUNO Q and Qualcomm #Dragonwing IQ9 platforms: 🔵 From face-following robots to local AI agents, Arduino highlights how developers are putting edge AI to work on the UNO Q platform:

This Week in #AI: 🔵 At #SnapdragonSummit, we showcased agentic commerce with @Mastercard, illustrating how agents can move from personalized recommendations to trusted transactions: 🔵 @BusinessInsider takes a closer look at agentic AI and why PCs powered by @Snapdragon are redefining productivity through industry-leading performance and low-power architecture: 🔵 As agentic workflows become more common, enterprises are taking a closer look at how AI workloads are distributed across devices, data centers and the cloud: