From pediatric research to smart hospitals, AI is helping care teams spend less time on routine tasks and more time with patients. Health systems and startups are putting it to work across healthcare, from matching patients to clinical trials to supporting radiologists, hospital teams and patients at home.
Airlines praised the AI tool, but the air traffic controllers’ union wasn’t involved.
A livestream Ars discussion is happening on November 17 at 1 pm Eastern Time.
Nebius plans to fund its $40 billion AI infrastructure expansion through customer prepayments and loans, even as delays at a Microsoft data center raise questions about its financing model.
At AI Engineer Code Summit, lead Jev creator Diogo Almeida called on developers to automate everything. Also, Glean and others showed how they’re using Jev.
AWS re:Invent 2026 includes more than 140 AI/ML track sessions. This attendee's guide helps you find the breakouts, chalk talks, workshops, and builders' sessions that fit your role and goals, spanning AI chips, models and inference, agents, agent trust, and sustainability, so you can build a smarter re:Invent schedule.
aws-emulator Finally, an official emulator from AWS to run tests against a local clone of their many different services without having to provision a paid API key to do so. It's written in Rust by a huge swarm of agents - 29,684 commits in the first three weeks of the project.
Fractile has now become one of the top-funded players in the race for purpose-built AI chips.
CoreWeave is increasingly asking customers to pay upfront, borrowing against specific contracts, and even looking to short-term deals that could lead to higher prices, according to the company’s third-quarter earnings.
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place.
The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place.
Anthropic's IPO roadshow video Anthropic kicked off their IPO roadshow yesterday, and their roadshow video has some previously unreleased information about how their business works. The section on "Approach to compute" with co-founder Tom Brown is particularly interesting, describing how Anthropic train and serve Claude across AWS Trainium, Google TPUs, NVIDIA GPUs, and AMD GPUs.
Anthropic claims it used AI itself to breach Nvidia's CUDA moat. The company's in-house model Mythos reportedly ported Claude to AMD GPUs in just three days, with almost no human intervention. Anthropic now runs Claude on four chip families and aims to cut costs and reduce vendor dependencies.
Like the end-to-end models trained to drive cars, AI agents are probabilistic systems operating in unpredictable environments.
Vision AI and robotics pick what’s worth recovering out of conveyor belts of used clothing, bottles and mixed recyclables, diverting thousands of tons of materials from landfills.
Kubernetes, the open source system that manages how applications run across thousands of AI factories, has become the foundation for AI, and the demands on it are only growing. To help meet them, NVIDIA is deepening its commitment to open source at KubeCon + CloudNativeCon, the flagship conference for the Kubernetes and cloud-native communities.
Google's new tensor processing units (TPUs) broaden its chip portfolio to more use cases: confidential model training and more memory capacity.
Kora is set to launch as a free-to-use alternative to Windows, targeting users who rely heavily on AI models and agents.
Learn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
Disney and Adobe are building custom AI tools together for the entertainment giant's productions.
The Walt Disney Company has teamed up with Adobe to develop proprietary "artist-led" generative AI models to support Disney's production pipeline.
Google is expanding its TPU 8 family with two specialized variants: the TPU 8tx keeps sensitive data encrypted even during processing, while the TPU 8i Max doubles compute power and memory by placing two chips on a single package. With nearly 100 external customers now on board, Google is increasingly positioning its in-house chips as an alternative to Nvidia's GPUs.
When Jonathan Kanter stepped down as head of the Justice Department's Antitrust Division in 2024, he set out to keep fighting to dismantle illegal monopolies. But this time, he's continuing the fight in the private sector, and with a perhaps unexpected tool: AI.
As companies look to accelerate innovation with artificial intelligence, cloud computing, and advanced modeling, the primary challenge is connecting new technologies to reliable data, scientific expertise, and the practical realities of bringing products to market.
NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security.
Tapping into the country’s strengths in manufacturing and engineering, NVIDIA is helping advance Korea’s physical AI ecosystem. The country’s industry leaders are applying accelerated computing, AI and simulation to everything from semiconductor manufacturing to robotics and autonomous vehicles. These efforts are helping bring physical AI from development into real-world production.
A year ago, NVIDIA open sourced its Aerial wireless software, joining Sionna and a broader suite of open source tools for accelerating next-generation 6G network development.
AI agents do more than generate answers. They search for information, query databases, write and test code and take action. Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task.
Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and prices rise — a trend expected to continue through the near term. NVIDIA works closely with memory partners to rapidly adopt the latest memory technologies. NVIDIA was first to adopt HBM3e and HBM4 technologies into an accelerated computing stack.
The deal is expected to support the development of DBX Agent Cloud, a new storage platform aimed at developers building AI models and agents.
OpenAI introduces its National Community Compact and Compute Campus Policy Blueprint to protect local resources, create jobs, and guide responsible AI infrastructure development.
With smartphone sales tanking by around 20 percent compared to 2025, Qualcomm is looking to data centers to help boost its bottom line.
The years-long wait for access to the grid and new turbines is causing data center builders to turn to an unusual, less-efficient and less environmentally friendly solution: once-discarded jet engines.
The SETI Institute and Breakthrough Listen are now using AI agents at the Allen Telescope Array to control the telescope and analyze incoming radio signals. Tasks that used to take weeks can now wrap up in hours, and the team says the system detected a pulsar in the Crab Nebula in real time for the first time.
People hate data centers. They're loud, resource-hungry eyesores that are so profoundly unpopular they have managed to achieve the near-impossible in today's polarized political landscape: genuine bipartisan opposition. But what about "compute campuses"? Those sound lovely, right?
Demand for advanced chips is rising. The processes to build them are getting more complex. And the margin for error is shrinking.
Nvidia has told some cloud customers to take on less business from Chinese companies.
Cities generate enormous amounts of data from cameras, sensors and operational systems, but turning it into useful action — for planning, maintenance and public services — remains a challenge.
In an announcement on Monday, OpenAI says it will pilot its "Grid Protectors Program" at an upcoming data center in Effingham County, Georgia, where the company promises to free up to 1,000 megawatts of power during extreme weather or emergencies, enough to power air conditioners in around 700,000 homes.
OpenAI’s Grid Protectors Program will work with utilities to help future compute campuses support grid reliability and protect consumer electricity costs.