Author: Jessica Moore P.E.

Jessica Moore P.E. brings a distinctive engineering perspective to technology journalism, with her professional licensure informing rigorous analysis of industrial computing and automation systems. Her expertise spans the convergence of operational technology and IoT ecosystems, where she deciphers how edge computing architectures are reshaping smart infrastructure. Moore's writing uniquely bridges engineering precision with accessible explanations of emerging technologies, offering readers both technical depth and practical industry insights.
ResearchScienceTechnology

Breakthrough Core-Shell Nanomaterial Shows High Efficiency in Toxic Gas Capture

Scientists have engineered a core-shell nano-adsorbent demonstrating exceptional selectivity and capacity for toxic hydrogen sulfide gas removal. The innovative material achieved 94.3% adsorption efficiency under optimized conditions, according to recent findings.

Novel Nanomaterial Breakthrough in Toxic Gas Removal

Researchers have developed an advanced core-shell hybrid nanomaterial that demonstrates remarkable efficiency in selectively capturing toxic hydrogen sulfide gas, according to recent scientific reports. The MIL-101(Cr)@MIPs@H₂S adsorbent achieved an optimal adsorption capacity of 360.11 mg/g with 94.3% efficiency under carefully optimized conditions, sources indicate.

by Jessica Moore P.E.
StartupsTechnologyTelecom

European Startup Secures Seed Funding for Multi-Orbit 5G Satellite Modem Development

Nxgsat, a Belgian startup founded by satellite industry veterans, has secured €1.2 million in seed funding to develop a virtual 5G modem for satellite communications. The technology aims to break down proprietary barriers in satellite networks, enabling multi-orbit compatibility. Commercial availability is reportedly planned for the second quarter of 2026.

Funding Breakthrough for Satellite Connectivity Innovation

A Belgian startup founded by satellite networking veterans has reportedly secured 1.2 million euros ($1.4 million) in seed funding to develop what sources describe as a groundbreaking virtual 5G modem for satellite communications. According to reports, Nxgsat’s technology is designed for multi-orbit compatibility across traditionally closed communications infrastructure, potentially revolutionizing how satellite networks operate.

by Jessica Moore P.E.
EnergyManufacturingSustainability

Swedish Green Steel Firm Stegra Faces Financial Crisis Amid Investor Jitters

Swedish green steel manufacturer Stegra is confronting a severe financial crisis as its funding gap surges to €1.5 billion. The company, founded by the same financiers behind bankrupt battery maker Northvolt, has approximately 1.7 months of liquidity remaining as it races to secure new financing.

Funding Crisis Deepens for Green Steel Startup

Swedish green steel company Stegra is battling to avoid becoming the second multibillion-euro European green industrial project to face insolvency within a year, according to financial reports. The startup, which has raised $6.5 billion in debt and equity, faces mounting financial pressures just 11 months after its sister company Northvolt, launched by the same Swedish financiers, declared bankruptcy despite raising $15 billion.

by Jessica Moore P.E.
AIBusinessTechnology

DeepSeek’s Novel OCR Approach Treats Text as Visual Data, Challenging Traditional Language Model Input Methods

DeepSeek’s latest research paper introduces a radical approach to optical character recognition, framing it as optical compression rather than traditional text processing. The methodology questions whether pixels might be superior inputs for large language models compared to conventional text tokens, potentially addressing scalability limitations in current AI systems.

Revolutionary OCR Framework Challenges AI Input Paradigms

DeepSeek has released groundbreaking research that fundamentally reimagines optical character recognition as optical compression, according to technical analysts reviewing the new paper. The approach represents text visually rather than processing individual tokens, potentially addressing significant scalability limitations in current large language models.

by Jessica Moore P.E.