Cortex AI

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot as an executive on Amazon’s “S-team,” in charge of software products such as Alexa, until his departure last fall.

Snowflake to burn $6B on AWS Graviton CPUs and AI accelerators

Quantized AI Inference on Constrained Embedded Platforms for Small-Satellite Settings

arXiv:2606.06528v1 Announce Type: new Abstract: In resource-constrained small-satellite settings, AI inference must operate under tight size, power, and payload budgets, which tend to limit onboard compute capability and data handling. These conditions motivate establishing a clear baseline for quantized AI inference under bounded compute and memory resources. To instantiate this baseline, a representative embedded-vision neural-network workload serves as the reference case.

We're upping our Palo Alto price target after strong earnings vanquish AI disruption fears

Palo Alto Networks reported a strong beat-and-raise quarter Tuesday night, putting to rest any lingering doubt that it will be disrupted by artificial intelligence. The stock was volatile in after-hours trading, but considering its blistering rally into earnings, it's not surprising to see this kind of reaction. Revenue for the company's fiscal 2026 third quarter increased 31% year over year to $3 billion, exceeding the Wall Street consensus estimate of $2.94 billion, according to LSEG.

Snowflake buys Natoma to help freeze out rogue agents

Snowflake is acquiring Natoma, a startup that provides a gateway for managing AI agent permissions across enterprise applications. This acquisition is part of Snowflake's strategy to establish an "agentic control plane," ensuring that AI agents can interact with business systems while adhering to strict security and governance policies. Natoma's technology enforces identity verification and access controls at the level of individual tool calls, allowing for secure and controlled AI actions.

NVIDIA's RTX Spark chip could give Windows its true Apple Silicon moment

NVIDIA's RTX Spark chip could give Windows its true Apple Silicon moment Arm CPU cores, a powerful GPU and gobs of unified RAM? That sounds familiar! There's a lot we still don't know about NVIDIA's RTX Spark AI chip — we're still waiting on deeper technical details and pricing for the first batch of systems — but it has a decent shot of changing the way we think of Windows PCs entirely.

Pulse Focus: Validation of the Focus Performance Score as a Behavioral Signal for Human Attentional State Modeling Toward Attention-Aware AI

Announce Type: new Abstract: Artificial intelligence systems that model and support human cognition require reliable measures of cognitive state. We present the Focus Performance Score (FPS) from the Pulse Focus mobile Stroop application and evaluate whether it measures attentional control during color-word conflict resolution. We conduct behavioral, neural, and formula validation analyses.

Science reveals people are capable of multitasking — it just requires practice

Your brain is capable of learning to multitask without your realizing it, according to a new study. It has long been thought that using your brain to work simultaneously on multiple things was impossible. That’s because problem-solving, logical planning and abstract thinking are all carried out by a key region of the brain known as the prefrontal cortex, which is notoriously inflexible.

reMarkable Paper Pure review: Great hardware held back by bad philosophy

reMarkable Paper Pure review: Great hardware held back by bad philosophy There's a lot riding on reMarkable's Paper Pure, a device that has to be a lot of things to a lot of people. It's got to be a worthy replacement to 2020's reMarkable 2, the e-paper slate that made the company a household name.

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space

Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, morphological feature extraction, and spatial organization analysis; however, these tools often require manual intervention and lack seamless integration with code-driven automation, limiting efficiency and scalability for complex spatial tissue studies, while also offering limited flexibility for custom analyses by supporting only a fixed set of predefined spatial...