Emerging technologies from quantum computing to space tech, because innovation never stops.
“Digital humans will help take clinician notes and schedule appointments, taking those tasks off the plates of busy practitioners,” said NVIDIA’s Kimberly Powell.
Using HTML for RAG systems, can enhance the performance of LLMs by providing them with external knowledge.
About 92% of organisations consider their COBOL applications strategic to their operations.
Developers have started calling it the best LLM for coding.
The funding could help Databricks, which is valued at around $43 billion, further expand its innovative data lakehouse architecture.
RAN, short for Radio Access Network, now integrates AI and ML, saving 5G with smarter, efficient performance.
“C is the bridge between languages. If we replace C code, how will these languages communicate with each other?”
Amid rising AI video tools like Runway and Midjourney, China has emerged as a major competitor, with Kling and MiniMax.
The Indian IT services companies are perfectly positioned for this revolution as they are all building AI agents for their clients.
Google’s CT Foundation creates a 1,408-dimensional vector that captures key details and simplifies analysing 3D imaging.
As investors forge ahead with AI advancements, the focus on infrastructure and data centres is expected to play a crucial role in shaping the future of AI in India.
AI now recommends over 50% of the content on Instagram and 30% of posts on Facebook, according to Meta chief Mark Zuckerberg.
Could plant-based DNA replace AI data centres? Researchers predict that the first DNA data centre will be operational within 5-10 years.
Do whatever your heart desires, say Adobe designers as they uncover the new AI features at the Adobe Max conference.
In a stroke of fortune, the AI startup Pylon raised $17 million just 17 months after its inception.
“Deno is a breath of fresh air, and Deno 2 is going to really shake things up.”
Databricks operates more as PaaS, not SaaS, and there’s a market for that approach.
Optimus reads a person’s T-shirt that says, “Robots are coming.” It fluently replies, “We are already here.”
Can OpenAI’s canvas really keep up?
The startup is also building an AI model for finance
OpenAI chairman, Bret Taylor’s AI startup is in talks to secure funding, valuing the company at $4 billion.
Researchers have proposed a new technique called L-Mul, which solves the problem of energy-intensive floating point multiplications in LLMs.
LC/NC platforms have to adapt to the changes all developers are going through – the AI change.
“Instead of taking 30 minutes to go find the repair status, it’s given to you by the agent in 30 seconds. There’s actual value in those savings.”
Compared to Win, Ubuntu is ~20-30% faster in text gen inference workloads & ~50-60% faster in image generation workloads.
Torchao’s quantization algorithms, applicable to popular models like Llama 3 and diffusion models, have demonstrated up to 97% speedup in inference.
Salesforce recently launched Agentforce, a no code platform that helps enterprises create personalised AI agents with simple prompts.
Developers also shouldn’t wait for companies to buy AI tools.
The idea is to move from “modifying code” to “extending functionality”.
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