Capabilities
“To Build On Our R&D Capabilities, We Provide Customised Drone Development Services”- Rohith Dacharla, Parova Technologies
– Advertisement – Building on the power of R&D, Parova Technologies offers customised design and development services for drones, aiming to develop a city-to-city drone network. Founder Rohith Dacharla unfolds their budget-friendly approach to support startups and students to EFY’s Yashasvini Razdan. Rohith Dacharla, Founder, Parova Technologies Q. How did you start Parova Technologies? A….
OtterCookie v4 Adds VM Detection and Chrome, MetaMask Credential Theft Capabilities
The North Korean threat actors behind the Contagious Interview campaign have been observed using updated versions of a cross-platform malware called OtterCookie with capabilities to steal credentials from web browsers and other files. NTT Security Holdings, which detailed the new findings, said the attackers have “actively and continuously” updated the malware, introducing versions v3 and…
Process Reinforcement through Implicit Rewards (PRIME): A Scalable Machine Learning Framework for Enhancing Reasoning Capabilities
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output. This sparsity of reward makes it challenging to train models that need multi-step reasoning, like those employed in mathematical problem-solving and programming. Additionally, credit assignment becomes ambiguous, as the model does not get…
“Acquisitions That Help Address Gaps In Our Design Capabilities….. Interest Us” – Shrinivas Kulkarni, Cyient DLM
– Advertisement – Over the past five years, Cyient DLM (formerly Rangsons Electronics), a subsidiary of Cyient Limited, has rapidly expanded its footprint in the design-led manufacturing industry through strategic acquisitions. EFY’s Yashasvini Razdan interviewed Cyient’s CFO, Shrinivas Kulkarni, to explore the company’s inorganic growth strategy amidst shifting market dynamics over the past six months….
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…