Author: Carter

The European Commission proposed a new cybersecurity package to bolster the EU’s cybersecurity resilience and capabilities in the face of these growing threats. The package includes a proposal for a revised Cybersecurity Act, which enhances the security of the EU’s ICT (information and communication technologies) supply chains. It ensures that products reaching EU citizens are cyber-secure by design through a simpler certification process. It also facilitates compliance with existing EU cybersecurity rules and reinforces the EU Agency for Cybersecurity (ENISA) in supporting Member States and the EU in managing cybersecurity threats. The package introduces measures to simplify compliance with EU…

IoT Security MarketMarket Size and Growth:The Global IoT Security Market size reached US$ 24.44 billion in 2023, with a rise to US$ 28.12 billion in 2024, and is expected to reach US$ 113.76 billion by 2033, growing at a CAGR of 16.8% during the forecast period 2025-2033.The IoT Security Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive…

Company Logo Key market opportunities for bioprocess automation include the growing demand for biologics, driven by advanced treatments like monoclonal antibodies and gene therapies, along with the need for manufacturing efficiency and cost reduction. Integration of AI and robotics enhances production, minimizes errors, and meets rising healthcare demands. Bioprocess Automation Market Bioprocess Automation Market · GlobeNewswire Inc. Dublin, Jan. 21, 2026 (GLOBE NEWSWIRE) — The “Bioprocess Automation Market Forecast to 2033” has been added to ResearchAndMarkets.com’s offering. The global bioprocess automation market is poised for significant growth, with its size estimated at USD 7.76 billion in 2024 and projected to…

SoftBank Corp. announced that its Infrinia Team, which works on the development of next-generation AI infrastructure architecture and systems, has developed “Infrinia AI Cloud OS,” a software stack designed for AI data centers.By deploying “Infrinia AI Cloud OS,” AI data center operators can build Kubernetes as a Service (KaaS) in a multi-tenant environment, and Inference as a Service (Inf-aaS) that provides Large Language Model inference capabilities via APIs, as part of their own GPU cloud services. In addition, the software stack is expected to reduce the total cost of ownership (TCO) as well as operational burden compared with bespoke solutions or in-house…

As the use of artificial intelligence across medicine increases nationwide, The Daily Pennsylvanian spoke to professors, doctors, and researchers at the Perelman School of Medicine about how they are integrating AI and machine learning into their research. Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine. According to multiple Penn Med faculty members, the technology has been used in a variety of ways — from conducting translational research and analyzing data to optimizing healthcare delivery. Pattern detection and risk prediction Radiology and Electrical and Systems Engineering professor Christos Davatzikos…

2025 was a year of change in cybersecurity, and every year feels more tumultuous than the previous year. Every year is now punctuated by high-profile incidents with well-known companies being successfully targeted, and massive data breaches taking place. Also, since we launched CyberSat almost t10 years ago, the conversation about cybersecurity for space systems has become mainstream. It was also an eventful year for CyberSat this year. In the six weeks prior to CyberSat, there was a U.S. government shutdown, which led to big changes in the program. A number of key U.S. government speakers were only able to confirm…

The Internet of Things is enabling faster emergency response times in the healthcare industry along with continuous and real-time monitoring of chronic diseases. What’s more, it’s enabling better healthcare services in remote areas. The Internet of Things (IoT) has made healthcare more accurate and quicker, with remote monitoring and real-time insights enhancing patient care. IoT devices give direct, 24/7 x 365 access to the patient, while IoT-based analytics and automation allow health providers to access reports even before patients arrive at the hospital. This improves the responsiveness in case of a health emergency. Healthcare uses IoT for data acquisition, data…

Andromeda creates robot companions for aged care and assisted living environments. The MassRobotics Healthcare Robotics Startup Catalyst cohort member showed its system at the 2025 Robotics Summit & Expo. Source: WTWH Media MassRobotics has announced the 11 companies in its 2026 Healthcare Robotics Startup Catalyst. Now in its fifth cohort, the program empowers global startups to accelerate the development and commercialization of robotic technologies that improve clinical care, hospital operations, and laboratory automation. The selected companies will participate in a five-month mentorship program running from January to May 2026. The curriculum connects founders with senior-level experts from the organizing corporate…

Fred Alger Management, an investment management company, released its “Alger Spectra Fund” fourth-quarter 2025 investor letter. A copy of the letter can be downloaded here. The US equity market ended the fourth quarter on a strong note, with the S&P surging 2.7%, maintaining its steady upward momentum. Investors’ optimism was supported by better-than-expected corporate earnings, the US Federal Reserve’s further interest rate easing stance, and a resilient macroeconomic backdrop. Improving clarity on trade policy provided additional support. Meanwhile, the quarter was characterized by increasing divergence below the Index’s surface. While AI remains the market’s biggest tailwind, it is being scrutinized…

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.“We demonstrate that even when you train models on large amounts of data, and choose the best average model, in a new setting this ‘best model’ could be the worst model for 6-75 percent of the new data,” says Marzyeh Ghassemi, an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS), a member of the Institute for Medical…