Broadcom Inc. (NASDAQ:AVGO) today announced Incident Prediction, an industry-first security capability that extends Adaptive Protection, a unique feature of Symantec Endpoint Security Complete (SES-C), by leveraging AI to identify and disrupt living-off-the land (LOTL) attacks and other cyberthreats.

Texas Instruments (TI) (Nasdaq: TXN) today introduced a new portfolio of automotive lidar, clock and radar chips to help automakers transform vehicle safety by bringing more autonomous features to a wider range of cars. TI's new LMH13000, the industry's first integrated high-speed lidar laser driver, delivers ultra-fast rise time to improve real-time decision-making. The industry's first automotive BAW-based clocks, the CDC6C-Q1 oscillator and LMK3H0102-Q1 and LMK3C0105-Q1 clock generators, improve advanced driver assistance system (ADAS) reliability. Addressing evolving ADAS needs, TI's new AWR2944P mmWave radar sensor offers advanced front and corner radar capabilities.

Today, we’re launching three new models  in the API: GPT‑4.1, GPT‑4.1 mini, and GPT‑4.1 nano. These models  outperform GPT‑4o and GPT‑4o mini across the board, with major gains in  coding and instruction following. They also have larger context  windows—supporting up to 1 million tokens of context—and are able to  better use that context with improved long-context comprehension. They feature a refreshed knowledge cutoff of June 2024.

MLPerf is the set of AI benchmarks you’ve heard of but might not (yet) fully comprehend. While I could find no unequivocal definition of the word itself – it was analogized as “SPEC for ML” in its May 2018 public debut  – my handy AI assistant has a confident answer. It reads: “The name ‘MLPerf’ is a portmanteau derived from ‘ML’ for machine learning and ‘Perf’ for performance.”

The word “agent” might remind us of a human who plans travel or maybe a well-dressed British spy. But in the rapidly evolving world of AI,  the term has a whole new meaning that is reshaping our interaction with technology and automation.

As the technology continues to advance, new Microsoft AI agents unveiled over the past few weeks can help people every day with things like research, cybersecurity and more.

For nearly a quarter of a century, the semiconductor industry has relied on tungsten as the interconnect material of choice for advanced memory and logic applications.

But as traditional metallization approaches reach their physical limits to meet evolving scaling demands for the AI era, the industry is turning to a new material–molybdenum.

Over the past year, we have been working closely with GitHub to make life easier for developers building on Arm. From GitHub’s Arm-hosted runners that are revolutionizing application development and deployment, to the recent Arm Extension for GitHub Copilot that is simplifying and accelerating migration to Arm-based servers,  our joint efforts are empowering developers to build faster, smarter,  and more efficiently on Arm.

Today, we’re introducing Command A, a new state-of-the-art generative  model optimized for demanding enterprises that require fast, secure, and  high-quality AI. Command A delivers maximum performance with minimal  hardware costs when compared to leading proprietary and open-weights  models, such as GPT-4o and DeepSeek-V3. For private deployments, Command  A excels on business-critical agentic and multilingual tasks, while‬  being deployable on just two GPUs, compared to other models that  typically require as many as 32.

In our digital world, encryption is the foundation of secure communication. It keeps our online transactions safe, protects sensitive information, and ensures our privacy remains private. However, as technology advances, so do the tools and techniques used by hackers. Cybercriminals are constantly finding new ways to break encryption, including using artificial intelligence, exposing vulnerabilities in systems we rely on daily. This growing threat underscores the need for stronger, more robust encryption methods to safeguard our data.

Embedded World, Nuremberg, Germany March 11, 2025 - NXP Semiconductors N.V. (NASDAQ: NXPI), the trusted partner for innovative solutions in the automotive market, today unveiled its new S32K5 family of automotive microcontrollers (MCU), the automotive industry's first 16nm FinFET MCU with embedded magnetic RAM (MRAM). The S32K5 MCU family will extend the NXP CoreRide platform with pre-integrated zonal and electrification system solutions for scalable software-defined vehicle (SDV) architectures. 

Analog Devices, Inc. (Nasdaq: ADI), a global semiconductor leader, today unveiled an expanded version of its developer-centric offerings with new solutions to drive more efficiency and security for developers and provide increased customer value. The CodeFusion Studio System Planner helps customers deliver innovations for the Intelligent Edge with enhanced capabilities and reduced time-to-market. The new Data Provenance Software Development solution establishes a trust framework for data created at the Intelligent Edge, ensuring the data remains trustworthy and preserves its fidelity from creation to consumption or storage. Early access kits and software downloads for the solution will be available through https://developer.analog.com/ on April 25.