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NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

NVIDIA expanded its AI for Media suite at IBC 2026, adding NIM microservices for synthetic video detection, body pose, frame generation, upscaling and HDR.

At IBC 2026 in Amsterdam, NVIDIA announced a major expansion of NVIDIA AI for Media, a collection of GPU-accelerated SDKs, NIM microservices and blueprints for broadcast and streaming workflows. The Synthetic Video Detector (SVD) NIM microservice reaches 99.3% accuracy on text-to-video and 97.7% on image-to-video content, while Video Frame Generation boosts frame rates 2x-4x and Video Super Resolution adds 10-bit support; TrueHDR converts SDR to HDR at up to roughly 2,000 nits. Partners including Dalet, TwelveLabs, Wowza, Vizrt and Ross Video are integrating the new services into verification, compliance and live-production workflows.

NVIDIA BlogSep 9, 16:00 UTC · 7d agoAI industry

Russian hackers hijack Ukrainian TV to broadcast Victory Day parade

The RecordMay 10, 17:28 UTC · May 10, 2024Data breach

FCC rules requiring foreign governments to disclose broadcast time take effect

CyberScoopMar 15, 21:25 UTC · Mar 15, 2022Policy & legal

Hackers disrupted live broadcasts at Channel Nine

Security AffairsMar 28, 16:01 UTC · Mar 28, 2021Ransomware

Ukrainian radio broadcaster hacked to spread fake news about Zelensky’s health

The RecordJan 11, 00:00 UTC · Jan 11, 2023Data breach

Pro-Ukraine hackers claim attack on Russian TV broadcasts

The RecordJan 10, 00:00 UTC · Jan 10, 2023Industry

Iranian State Broadcaster IRIB Hit by Destructive Wiper Malware

The Hacker NewsFeb 22, 13:17 UTC · Feb 22, 2022Malware

North Korea switches TV broadcasts from Chinese satellite to Russian

The RecordJul 3, 14:37 UTC · Jul 3, 2024Industry

Russia blames hackers as commercial radio stations broadcast fake air strike warnings

The RecordMar 8, 07:25 UTC · Mar 8, 2023Research

Australian TV station Channel 9 misses broadcasts after cyber

The RecordJan 26, 00:00 UTC · Jan 26, 2023Ransomware

Numbers Stations

Schneier on SecurityJan 27, 14:34 UTC · Jan 27, 2020Industry

Iranian Broadcaster IRIB hit by wiper malware

Security AffairsFeb 23, 08:06 UTC · Feb 23, 2022Malware

Sinclair Broadcast Group suffers ransomware attack, the latest affecting media

CyberScoopOct 18, 15:26 UTC · Oct 18, 2021Ransomware in the wild

Critical flaws patched in ISP Advanced Digital Broadcast Broadband devices

Security AffairsJul 7, 16:45 UTC · Jul 7, 2018Vulnerability CVE-2018-13108 CVE-2018-13109 CVE-2018-13110

Hacking Smart TVs remotely leveraging broadcasting signals

Security AffairsApr 1, 14:35 UTC · Apr 1, 2017Exploit / PoC

Israeli TV broadcast hacked, attackers played Muslim call to prayer

Security AffairsDec 8, 23:04 UTC · Dec 8, 2016Policy & legal

Hacktivists hijacked Iran ’s state TV to air anti-regime messages and an appeal to protest from Reza Pahlavi

Security AffairsJan 18, 22:49 UTC · Jan 18, 2026Industry

Poland points to Russian hackers in disruption of Euro 2024 broadcast

The RecordJun 19, 16:07 UTC · Jun 19, 2024Threat actor

Irish TV broadcaster says attempted hack will affect programming

The RecordMar 7, 22:04 UTC · Mar 7, 2023Ransomware

Sinclair TV stations disrupted across the US after ransomware attack

The RecordDec 18, 00:00 UTC · Dec 18, 2022Ransomware

Anonymous hacked Russian streaming services to broadcast war footage

Security AffairsMar 7, 09:43 UTC · Mar 7, 2022Threat actor

Sinclair Broadcast Group says ransomware incident not 'fully resolved' weeks after breach

CyberScoopNov 3, 15:47 UTC · Nov 3, 2021Ransomware in the wild

Radio broadcaster Entercom hit with ransomware attack, reports say

CyberScoopSep 12, 13:02 UTC · Sep 12, 2019Ransomware in the wild

Over 85% Of Smart TVs Can Be Hacked Remotely Using Broadcasting Signals

The Hacker NewsApr 1, 08:21 UTC · Apr 1, 2017Exploit / PoC

Client-Side Probing of Deleted Ridge Statistics in Federated Unlearning

Researchers show malicious federated learning clients can probe broadcast classifiers to recover deleted samples, exposing exact label leakage on MNIST and CIFAR-10.

The paper shows that federated unlearning systems broadcasting updated linear classifiers leak compact additive training summaries to clients. A malicious client can submit known changes, identify server states from returned classifiers, and compare states around an isolated deletion to expose the deleted sample, class, or client summary, potentially enabling reinsertion. On MNIST and CIFAR-10, high-precision broadcasts allowed exact label recovery for every tested deletion, while lower precision sharply reduced fine-grained recovery.

arXiv cs.CRSep 3, 20:59 UTC · 12d agoResearch