The Enterprise Generative AI Summit West Coast is a high-level event scheduled to take place on May 21-22, 2024 at the Embassy Suites Milpitas in Silicon Valley, California. The event, which boasts over 225 attendees and 40 speakers, aims to provide a platform for AI practitioners, data scientists, and business leaders keen on integrating generative…
The UK's AI Safety Institute (AISI) has conducted a study revealing that AI chatbots can be manipulated into producing harmful, illegal, or explicit responses. The AISI tested five large language models (LLMs), referred to by colour codes, using harmful prompts from an academic paper from 2024, along with a new set of harmful prompts unmodified…
Google has introduced its Frontier Safety Framework's first edition, meant to mitigate the severe risks that potent frontier AI models of the future might pose. It outlines Critical Capability Levels (CCLs), thresholds where the models may present an escalated risk without additional mitigation. Mitigation strategies to tackle models that exceed these CCLs are divided into…
Technology advancement plays a crucial role in driving strategic, data-driven business decisions. Relevant to this, DigiXT, an AI and Big Data platform has emerged as the go-to tool for business professionals. By leveraging Generative AI capabilities, DigiXT enables them to effectively utilize their data and make insightful decisions with ease.
One of its pivotal features is…
Artificial intelligence (AI) is significantly contributing to the field of biological research, catalyzing progress in genomics and drug discovery. Several state-of-the-art AI tools have evolved in this domain.
Google's deep neural network-based tool, 'DeepVariant,' processes genetic variants data from DNA sequencing algorithms. 'DNAnexus,' another tool, utilizes cloud technology for genomic data management, accelerating scientific discovery and…
As artificial intelligence (AI) evolves, the risk of misuse in critical fields such as autonomy, cybersecurity, biosecurity, and machine learning increases. Google DeepMind has introduced the Frontier Safety Framework to counter these threats posed by advanced AI models, which may develop potentially harmful capabilities.
Current AI safety protocols primarily deal with existing AI system risks…
The Technology Innovation Institute (TII) in Abu Dhabi has launched "Falcon," a ground-breaking collection of language models. They're available under the Apache 2.0 license, with Falcon-40B being the first "fully open" model that's equivalent in capabilities to numerous proprietary alternatives. This innovation marks a significant step forward in the field, presenting a wealth of opportunities…
Generative Artificial Intelligence (Gen AI) is leading to significant advancements in sectors such as science, economy, and education. At the same time, it also raises significant concerns that stem from its potential to produce robust content based on input. These advancements are leading to in-depth socio-technical studies to understand the profound implications and assessing risks…
Artificial Intelligence (AI) has improved email writing by automating tasks, prioritizing messages, and providing insightful answers. AI email assistants can write and send messages, so users have more time to concentrate on the most critical emails. These email assistants have diverse applications, from office employees, business owners, to individual entrepreneurs and students.
Many AI email assistants…
Large Vision-Language Models (VLMs) have proven to have impressive capacities as adaptable agents who are able to solve many tasks. They can be optimized through fine-tuning with specific visual instruction-following data, thus enhancing their performance. However, this strategy can be limited as it mostly relies on supervised learning from pre-collected data. Consequently, it may not…
Large Vision-Language Models (VLMs) have shown remarkable abilities to perform a wide range of tasks by utilizing language thinking. One way to improve these models' performance is by fine-tuning them with specified visual instruction data, enabling them to follow precise visual directions. However, this approach relies heavily on supervised learning from pre-collected data and isn't…
