DoJ disrupts DanaBot malware after 300K infections and $50M damage; 16 charged in Russia-linked cybercrime ring.
Latrodectus malware evades detection with ClickFix technique; TikTok and fake Ledger apps expand threat reach.
ViciousTrap exploited CVE-2023–20118 to hijack 5,300 routers, building a honeypot-style spy network.
Imma is a 🌐 from Tokyo, Japan who first appeared on Jul 12, 2018. Here’s everything you need to know about imma.
Three-dimensional printing offers promise for patient-specific implants and therapies but is often limited by the need for invasive surgical procedures. To address this, we developed an imaging-guided deep tissue in vivo sound printing (DISP) platform…
View recent discussion. Abstract: Modern Vision-Language Models (VLMs) can solve a wide range of tasks requiring visual reasoning. In real-world scenarios, desirable properties for VLMs include fast inference and controllable generation (e.g., constraining outputs to adhere to a desired format). However, existing autoregressive (AR) VLMs like LLaVA struggle in these aspects. Discrete diffusion models (DMs) offer a promising alternative, enabling parallel decoding for faster inference and bidirectional context for controllable generation through text-infilling. While effective in language-only settings, DMs’ potential for multimodal tasks is underexplored. We introduce LaViDa, a family of VLMs built on DMs. We build LaViDa by equipping DMs with a vision encoder and jointly fine-tune the combined parts for multimodal instruction following.
The alarming behavior prompted Anthropic to deploy a safety feature created to avoid “catastrophic misuse.”
National Institutes of Health (NIH) scientists have developed a new surgical technique for implanting multiple tissue grafts in the eye’s retina.
The findings in animals may help advance treatment options for dry age-related macular degeneration (AMD), which is a leading cause of vision loss among older Americans.
Microscopy on tissue swollen to 16 times its normal size can help unravel neural structures
We’re announcing the world’s first scalable, error-corrected, end-to-end computational chemistry workflow. With this, we are entering the future of computational chemistry.
Quantum computers are uniquely equipped to perform the complex computations that describe chemical reactions – computations that are so complex they are impossible even with the world’s most powerful supercomputers.
However, realizing this potential is a herculean task: one must first build a large-scale, universal, fully fault-tolerant quantum computer – something nobody in our industry has done yet. We are the farthest along that path, as our roadmap, and our robust body of research, proves. At the moment, we have the world’s most powerful quantum processors, and are moving quickly towards universal fault tolerance. Our commitment to building the best quantum computers is proven again and again in our world-leading results.