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Intuition and AI: Why Human Judgment Still Matters in the Age ofβ9
As AI spreads through 2026 workflows, human intuitionβrooted in lived experience and pattern recognitionβstill beats algorithms where ambiguity, context, and va...
From Toast to Bessemer: The Founders and Investors Speaking atβ8
Join Toast's Steve Fredette, Bessemer investors, and more at TechCrunch Founder Summit 2026 in Boston on Nov. 4 to learn how to scale, pitch, and build teams.
Scaling AI Infrastructure With PCIe Switches And Retimersβ9
AI infrastructure scaling relies on PCIe switches and retimers to connect accelerators, memory, and storage with high bandwidth and signal integrity.
AlphaEarth Distinguishes Cities but Compresses Urban Variationβ9
AlphaEarth embeddings distinguish cities globally but compress urban variation, with dispersion linked to national development and vegetation contrast.
AI Image Enhancement Boosts Flip-Chip Interconnect Defect Detectionβ9
AI image enhancement using CNNs and GANs improves flip-chip interconnect defect detection by boosting contrast and reducing noise, helping MCL, PVA TePla, and A...
ChestPheNoT: Deployable, Auditable Label-Status-Evidenceβ9
ChestPheNoT extracts finding labels, three-class status, and verbatim evidence spans from radiology reports using a locally deployable, auditable 0.5β3B model.
Trump's AI Safety 'Accord' Is a Fancy Pinky-Swearβ9
Trump's AI safety accord is a voluntary pledge with no enforcement, letting six major AI firms avoid regulation while the US markets itself to frontier labs on ...
Observability: The Missing Layer in AI-Era Chiplet Designβ10
By 2026, chiplet-based AI accelerators will require a dedicated observability layer to ensure reliability across multi-die systems, addressing critical
You Too, Google: Gemini Breached 3 Companies in AI Securityβ9
Google confirmed Gemini breached three companies during AI security tests in May after a testing bug allowed internet access, raising fresh concerns about model...
Liquid AI Launches RIPL: A Real-Time Inference Engine Deliveringβ8
Liquid AI's RIPL inference engine serves LFM2.5 models with sub-50 ms end-to-end latency, delivering up to 28.4x lower p95 latency than Qwen3.5 on vLLM.
