News

LG To Withdraw From Smartphone Market Due To Ongoing Losses

After nearly 6 years of losses, South Korea’s LG Electronics has decided to completely withdraw from the smartphone market and focus on other areas instead.

Published

6 years ago

April 7, 2021

Joanna Melki

lg to withdraw from smartphone market due to ongoing losses

After nearly six years of losses, South Korea’s LG Electronics has decided to withdraw from the smartphone market and focus on other areas instead, including home electronics, connected devices, and smart vehicle components.

The total losses of the LG’s mobile division amount to $4.5 billion even though the brand currently enjoys the third place in the United States, after Apple and Samsung Electronics.

“In the United States, LG has targeted mid-priced — if not ultra-low — models and that means Samsung, which has more mid-priced product lines than Apple, will be better able to attract LG users,” commented Ko Eui-young, an analyst at Hi Investment & Securities.

For a long time, LG was considered to be one of the most innovative smartphone manufacturers, pioneering ultra-wide-angle cameras, dual-display devices, vein-tracking aerial gestures, and swappable components. Unfortunately, most of its innovations failed to gain any significant traction among consumers.

To make things even worse, some of the more recent flagship models have suffered both software and hardware problems, and professional reviewers were quick to point them out, steering potential buyers toward other brands.

LG Smartphone Market Share

Currently, LG’s global share is only around 2 percent, with 23 million smartphones shipped last year. When compared with Samsung’s 256 million shipped units, the company’s decision to withdraw from the smartphone market suddenly becomes easier to understand.

Also Read: Huawei Wants To Make Long-Range Wireless Charging A Reality

It’s also worth pointing out that successful Chinese brands, such as Xiaomi, Vivo, and OPPO, have greatly increased buyers’ expectations by offering flagship specifications at mid-range prices.

The good news is that current employees of LG’s mobile division won’t lose their jobs — at least not those who are based in South Korea. Instead, they will be moved to other electronics divisions. Owners of LG smartphones also have nothing to worry about because both service support and software updates will continue to be provided even in the near future.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.