TripleTen Survey: 62% of Career Changers Say AI Is Already Reshaping Their Old Industries

SALT LAKE CITY, UT, UNITED STATES, July 3, 2026 /EINPresswire.com/ -- Career changers who moved into tech from ...

TripleTen Survey: Career Changers Motivated by Better Pay, Not Fear of AI

SALT LAKE CITY, UT, UNITED STATES, July 3, 2026 /EINPresswire.com/ -- Despite widespread media coverage framing AI as ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning, and Security

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Moneysimpler launches AI platform to make quantitative trading more accessible

MoneySimpler announces the launch of its AI-powered quantitative trading platform, designed to simplify automated ...

Q2 2026 Highlight: Elephant Robotics Took Intelligent Robots and Educational Solutions to Eight Global Stages

Elephant Robotics showcased AI robots, embodied intelligence, and STEM education solutions across 8 global events in Q2 ...
Tech Xplore

Rough demos unlock precise robot actions, with up to fourfold real-world gains

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...
EDN

How AI is driving a new paradigm in test distribution

The future of semiconductor test may depend as much on data movement and workflow intelligence as on the tester hardware ...
IEEE

SCC: Synchronization Congestion Control for Multi-Tenant Learning Over Geo-Distributed Clouds

Abstract: Distributed machine learning over geo-distributed clouds enables joint training of data located in different regions, alleviating the burden of transferring large volumes of training ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Adversarial Machine Learning in Cybersecurity: Defending Against Evasive Threats in Distributed Systems

Abstract: This paper investigates the security issues raised by adversarial evasion attacks against malware detection systems that use machine learning. We evaluate methods used by malware authors to ...