Developers

Meta’s Llama 2025 roadmap highlights faster, multilingual, and more accessible AI models, signaling a major shift toward open-source innovation across industries.

As attacks grow more sophisticated, the open-source community is racing to close critical security gaps and stop malicious code before it spreads.

After years of missteps, Intel is getting serious. With a new CEO and sharper strategy, the company is making bold moves to reclaim its tech leadership.

By adopting a proactive approach to AI security with red teaming, businesses can uncover hidden vulnerabilities, reduce risks, and build resilient systems.

Autoscaling has become an indispensable feature of modern cloud computing. It allows organizations to allocate resources dynamically to match fluctuating demand. By adjusting capacity during peak and low activity periods, autoscaling ensures optimal performance and reduces costs.

Researchers at the University of Waterloo's Cheriton School of Computer Science in Canada found that modifying just 30 lines of code in the Linux kernel could cut data center energy consumption by 30% to 45%.

In 2025, open-source technology will navigate growing challenges, from security and sustainability to funding. New AI projects may offer solutions, but uncertainty remains.

Some software developers disagree with the open-source community on licensing and compliance issues, arguing that the community needs to redefine what constitutes free open-source code.

A new discipline, machine learning security operations (MLSecOps), has emerged to provide a foundation for robust AI security. Let’s explore five foundational categories within MLSecOps.

Not all Linux distributions provide platforms for enterprise and non-business adopters. Red Hat Enterprise Linux and the Fedora Project let users keep their Linux computing all in the family.

The following observations were compiled with software engineering in mind, as I identified them while working in that discipline. However, these practices apply universally.

The eLxr project enables organizations challenged with high-performance edge and enterprise needs to meet stringent performance and operational requirements for a wide range of markets and emerging use cases. These include autonomous vehicles, aerospace and defense, energy, finance, healthcare, indu...

The open-source community faces pressing challenges with licensing and revenue, prompting a shift toward more sustainable and clearly defined models to protect and advance its foundational principles.

There is little doubt among experts in the field that 2024 will primarily focus on better hardening open-source software in general. With its growing dominance in software development, enterprises can no longer afford to overlook open source, as it is everywhere.