Bayezian Bulletin - May 2024
Hello and welcome to the fifth edition of the Bayezian Bulletin, and our first of 2024.
As you know, we’re passionate about utilising AI for the greater good. This newsletter aims to expand on our ultimate goal, shining a light on Bayezian in the media and any important stories you should be reading on a monthly basis.
To keep ahead of all Bayezian and AI-related news, be sure to subscribe so you don’t miss the latest edition.
Bayezian in the news
With opinions increasingly polarised, it’s easy to picture a swinging pendulum that points to the direction of the ‘great AI debate’ at any given moment in time.
Our Co-Founder and Non-Executive Director Glyn Heath offered his insights to Forbes on how we can find an effective way forward and, ultimately, produce much-needed solutions.
As Glyn points out, there is no universally (or even globally) agreed way forward with AI as a whole. But we need an intelligently nuanced and flexible approach to controls to ensure that only the harmful uses of AI are subjected to outright ban or extreme regulation.
With the soaring use of generative AI and large language models over the past year – and regulators scrambling to keep pace – it feels as if Data Privacy Week took on an extra sense of importance for 2024. That’s what Ben Wells , our head of statistical data science, stated in his recent piece for The Engineer UK .
In the last days of 2023, The New York Times sued OpenAI and Microsoft for copyright infringement. A move such as this had been mooted for a long time – large language models (LLMs) are trained on data gleaned from published work online, after all – but a high-profile lawsuit finally being tabled is still a watershed moment.
But what does this mean for the future of copyright law? How can AI developers move forward and how might smaller creators be compensated? For Compare the Cloud , Glyn explores the copyright conundrum.
Recent AI News
A study by Bar-Ilan University has compared the learning mechanisms of the human brain with those of deep learning in AI.
The dynamics of the brain have always influenced neural network learning techniques. This is despite the two scenarios, brain learning and deep learning, contrasting in many ways. One of the key differences is the number of layers each one possesses.
While deep learning architectures usually consist of numerous layers that can be increased to process increasingly complex classification tasks, the brain consists of very few layers. Despite its shallow architecture and noisy and slow dynamics, it can efficiently perform complex classification tasks.
The key question driving new research is the possible mechanism underlying the brain’s efficient shallow learning – how does it work and how can this influence the future of AI?
安进 , one of the world’s leading biotechnology companies, is tapping into the transformative potential of generative AI.
Amgen will build AI models trained to analyse one of the world’s largest human datasets on an NVIDIA DGX SuperPOD, a full-stack data centre platform, that will be installed at Amgen’s headquarters in Reykjavik, Iceland. Its name is significant too; called Freyja, it’s a nod to the life-giving Norse goddess associated with the ability to predict the future.
Freyja will build a human diversity atlas for drug target and disease discovery, analysing disease progression and regression rapidly. The system will also develop AI-driven precision medicine models, which widens the scope for individualised therapies for patients.
Excitingly, the DGX SuperPOD will also be used to train AI models in days rather than months, speeding up the analysis and development stages.
领英推荐
Powered by AI, advancements in medicine show no sign of slowing down - and deep learning models have supported a breakthrough not seen in over 60 years.
Thanks to AI, scientists have discovered a new compound that can kill a drug-resistant bacterium, Staphylococcus aureus (MRSA), which kills thousands worldwide every year. Significantly, this could prove to be a turning point in the fight against antibiotic resistance.
The team behind the project used a deep learning model to predict the activity and toxicity of the new compound. It is increasingly being applied in drug discovery to accelerate the identification of potential drug candidates, predict their properties, and optimise the drug development process.
Get To Know: Joe Harding
Through our regular Q&A, familiarise yourself with the people that make up Bayezian, what drives them and what they do when they step outside the office.
Why did you join Bayezian?
I joined Bayezian at the very beginning. Being part of Bayezian’s foundation meant that I not only had the responsibility of shaping my career as a data scientist, but I also had the responsibility of shaping the trajectory of the company. I was excited by this challenge and saw it as a great opportunity to contribute to building something meaningful in the most exciting space that exists today.
What tech are you most excited about right now?
Generative AI and Large Language Models represent some of the most exciting breakthroughs in the field to date. The level of innovation and constant enhancements to these models create a sense of limitless possibilities. Exploring the different applications and diverse ways this technology can enhance products and services is not only enjoyable but also presents a tremendous opportunity to make a positive impact with AI, and it's truly exciting to be at the forefront of this cutting-edge process.
What inspires you?
The chance to engage in projects that directly improve people's lives, no matter how big or small. The satisfaction comes from crafting tools that someone can rely on to solve complicated problems or performing analyses that contribute to well-informed, crucial decisions. It's not just about the data or the science; it's about the tangible impact on individuals that keeps me inspired.
What do you do outside of work?
Shouting at the TV watching Arsenal, down the pub or exploring London's rooftop bars, regular quality binge-watching sessions, and a bit of gym keeps you slim! (I wish).
Vacancies
ICYMI, we’re hiring. Please head to our Jobs board for more information.
What are we reading?
Here’s a quick share of the books or papers some of us are reading at the moment! A nice mixture of nerdiness and escapism, we think.
Thank you for including us, great article!
Very helpful!