A murder investigation has been opened after a 16-year-old boy was found fatally injured in north London. Deonte Mowatt-Slater died after his motorbike hit a lamppost following a suspected stabbing. Met Police officers were called in the early hours of Tuesday to reports of a crash on Beachcroft Way in Islington. Medics at the scene said he was found to have a suspected knife injury, and despite attempts to save his life, he died. There have been no arrests and inquiries are ongoing.

A new draft guidance by the US Food and Drug Administration (FDA) would allow developers of artificial intelligence (AI) and machine learning (ML) digital health solutions to make changes to their products without submitting a new application. The plan would let submissions include predetermined change control plans (PCCP) that would lay out how developers would ensure changes are safe and effective. According to Ferdous Al-Farique, "While the agency has already allowed more than 500 AI/ML products on the market, many of which already allow PCCP, Congress passed legislation as part of the 2023 Consolidated Appropriations Act that gave FDA explicit authority to approve PCCPs as part of AI/ML product applications." To read more, click here.

It's been 7 months since my last commentary on the field, and as it became regular appearance in this blog (and in fact many people apparently enjoy this form and keep asking for it), it is a time for another one. For those new to the blog, here we generally strip the AI news coverage out of fluff and try to get to the substance, often with a fair dose of sarcasm and cynicism. The more pompous and grandiose the PR statement, the more sarcasm and cynicism - just to provide some balance in nature. The field of AI never fails to deliver on pompous and grandiose fake news hence I predict there will be a material for this blog for many years to come. Now that the introductory stuff is behind and you've been warned, let us go straight to what happened in the field since May 2019.

Artificial intelligence is your new insurance claims agent. For years, insurance companies have used "InsurTech" AI to underwrite risk. But until recently, the use of AI in claims handling was only theoretical. The advent of AI claims handling creates new risks for policyholders, but it also creates new opportunities for resourceful policyholders to uncover bad faith and encourage insurers to live up to their side of the insurance contract.Most readers are familiar with Lemonade, the InsurTech start-up that boasts a three-second AI claims review process. However, as noted in a Law360 article last year, Lemonade deferred any potential claim denials for human review, so the prospect of AI bad faith is still untested.

Discussions seem to be popping up everywhere from industry events to articles in mainstream business magazines about the future of medicine and whether artificial intelligence (AI) and machine learning will displace the work being done by researchers and doctors. A recent interview in The New Yorker even suggested that radiologist training should be halted, since deep learning will be doing a better job than professionals within the next five years. While it's true that artificial intelligence and computer-based algorithms are making their way into both the lab and clinical practice, the adoption of these new technologies will not replace the work of the researchers themselves. On the contrary: it'll enable them to become more effective than ever before.

No single post could hope to cover all the new innovations with AI. It will, however, give you an orientation to what is being done and what already exists that you can readily identify with. We have voice synthesisers, text to voice synthesisers, we have robotics in car manufacture, mining, hospitals and Japan even has hotels where the check ins are managed by robots. Artificial talking heads are popping up over the Net and have their uses. Professor of AI Nello Cristianini of Bristol University is world renowned in the field of artificial intelligence.

The worlds of AI, Deep Learning and Machine Intelligence are rapidly evolving and it's hard to keep up! To help you get up-to-date we've rounded up the latest must-see AI news, interviews and videos. RE•WORK Blogs Neural Attention: Machine Learning Meets Neuroscience Neural attention has been applied successfully to a variety of different applications including NLP, vision, and memory. We spoke to Brian Cheung, from UC Berkeley & Google Brain, to learn more about the intersection of neuroscience and machine learning. Machine Intelligence Is Transforming Genomics & Precision Medicine New applications for deep learning are rapidly emerging, with healthcare often touted as the industry to be most disrupted by AI.

The worlds of AI, Deep Learning and Machine Intelligence are rapidly evolving and it's hard to keep up! To help you get up-to-date we've rounded up the latest must-see AI news, interviews and videos. RE•WORK blogs Should We Be Rethinking Unsupervised Learning? Meet the Woman Behind the Personality of Microsoft's AI Assistant'Cortana' Deborah Harrison believes people should come to expect civility, humor, transparency and kindness from interactions with AI, just as they expect the ability to update a calendar. Democratising Deep Learning: Q&A With Prof. Neil Lawrence It has taken 20 years to go from defeating Kasparov at Chess to Lee Sedol at Go, but what have the real advances been across this time?

AI Acquisitions: The Evolving Deep Learning Landscape With the exponential growth of the deep learning field, new companies are often funded and acquired extremely quickly. We take a look back at the huge successes of startups in the field, to gauge how the deep learning landscape is evolving.