iPhone 18 Pro Brings A20 Pro and On-Device AI

Apple iPhone 18 Pro Raises the Bar for On-Device AI

Apple has introduced the iPhone 18 Pro and iPhone 18 Pro Max, putting on-device artificial intelligence, sustained computing performance and computational photography at the center of its latest premium smartphones. The new models combine the A20 Pro chip and dual 16-core Neural Engine with Apple Intelligence and the beta version of Siri AI, while adding…

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UpDoc Gets $9.2M for Agentic Clinical AI

UpDoc Wins $9.2M ARPA-H Backing for Clinical AI Agents

UpDoc has been selected as a lead performer in ARPA-H’s ADVOCATE program, receiving an award of up to $9.2 million to develop agentic AI for cardiovascular care. The company will work with Microsoft, OpenAI and NVIDIA on a system intended to manage aspects of heart-failure care under clinical safeguards and pursue a pathway toward FDA…

Read More: UpDoc Wins .2M ARPA-H Backing for Clinical AI Agents
AI Capital Connect Forum Unites Institutional Investors

Institutional Capital Allocators Converge At Premier AI Capital Connect Forum To Navigate The Sector’s Next Major Investment Paradigm

The modern-day tech market is increasingly enthusiastic about the growth of generalized consumer artificial intelligence tools. In fact, these have transitioned into metrics-driven products, forcing the global community to reassess its asset allocation framework. To provide structure, clarity, and vetted deal flow within this evolving landscape, AI Capital Connect is co-hosting the Founders & Funders…

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Picking the Right Model for the Job: A Framework for Business Leaders  

Picking the Right Model for the Job: A Framework for Business Leaders  

A customer support team needs to summarize conversations. The product team wants an AI model that can reason through complex requirements. Finance needs reliable extraction from documents. Leadership, however, asks a simple question: Which AI model should the business use?     There is rarely one right answer. For business leaders, the better question is “Which model is best for…

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Aitech Brings NVIDIA Ada AI to Rugged VPX Systems

Aitech Brings RTX Ada AI Acceleration to Rugged VPX

Aitech is upgrading its rugged computing portfolio for defense platforms that increasingly need to process AI workloads at the tactical edge. The company has introduced the C530 and SOSA-aligned U-C5300, two 3U VPX GPGPU boards built around NVIDIA RTX Ada architecture. The accelerators target real-time AI inference, video analytics, image processing and sensor fusion while…

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DFI Brings Intel Core Ultra Edge AI to Mini-ITX

DFI Brings Intel Core Ultra Edge AI to Mini-ITX

DFI is targeting the growing demand for on-device intelligence in industrial robots and automated logistics with a new Mini-ITX platform designed to combine AI acceleration, compact hardware and long-term deployment flexibility. The ARH171/ARH173 supports 16 Intel Core Ultra processor configurations across Meteor Lake and Arrow Lake generations, giving system integrators a common hardware platform for…

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Qualcomm, Amazon Target Custom AI Data Center Silicon

Qualcomm, Amazon Target Custom Silicon for AI Inference

Qualcomm and Amazon are expanding their semiconductor partnership into large-scale AI data centers, with a multi-generation collaboration focused on custom silicon for AI inference and optical connectivity reaching speeds of up to 1.6 terabits per second. The agreement gives Qualcomm a larger role in the rapidly expanding AI infrastructure market while strengthening Amazon Web Services’…

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Triple Whale Bets on Agentic AI for Ecommerce

Triple Whale Repositions Around Agentic AI for Ecommerce

Triple Whale is repositioning itself from an ecommerce analytics platform into what it describes as an AI operating system for commerce, unveiling a new brand identity alongside a broader push into agentic automation. The company says its Moby AI operator can move beyond analyzing business performance to recommending and executing actions across advertising, creative, websites…

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Alif Launches Low-Cost Edge AI StartKits

Alif Cuts the Cost of Edge AI Development With New MCUs

Alif Semiconductor is targeting one of the biggest barriers to embedded AI adoption: the cost and complexity of getting started. The semiconductor company has introduced two low-cost evaluation boards, the SK-B1 and SK-E1C StartKits, designed to help developers test on-device AI and machine learning workloads on its Balletto and Ensemble microcontrollers. The boards bring dedicated…

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