Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

It’s a great, easy way to turn your handwriting into a font, but you can use it to create any typeface you can imagine as long as long as you have the adequate drawing skills. I tried it myself and it ...

Hackers are increasingly exploiting newly disclosed vulnerabilities in third-party software to gain initial access to cloud environments, with the window for attacks shrinking from weeks to just days.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Source Code Exfiltration in Google Antigravity‍TL;DR: We explored a known issue in Google Antigravity where attackers can ...

MOIS-linked MuddyWater crew has a new, custom implant An Iranian cyber crew believed to be part of the Iranian Ministry of ...

Prompt engineering in India is evolving into AI context engineering. Explore salaries, hiring hubs, in-demand skills and future career trends.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...

Can a search-first AI beat the world's best reasoning model? I pitted Perplexity against Claude across 7 real-world ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.