Using artificial intelligence, researchers at the Technical University of Munich (TUM) have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free. This new approach is set to provoke a considerable change in the field of proteomics, as it can be applied in both basic and clinical research. The genome of any organism contains the blueprints for thousands of proteins which control almost all the functions of life. Defective proteins lead to serious diseases, such as cancer, diabetes or dementia. Therefore, proteins are also the most important targets for drugs.

Despite the ongoing trade war between the two countries, some Western experts have been trying to build bridges. This week, the World Economic Forum announced its own AI principles, developed in collaboration with academics, business leaders, and policymakers from the US, China, and other countries. One of the co-chairs of the WEF's new AI council is Kai-Fu Lee, a prominent AI investor based in Beijing, who previously helped establish both Microsoft's and Google's outposts in China. Lee says the WEF group discussed the fact that the Chinese principles seem very similar to those developed by Western countries and companies. "This makes us quite optimistic," he says.

Artificial Intelligence (AI) is a source of both enthusiasm and skepticism, albeit in different measures. With humans and machines joining forces now more than ever before, AI is no longer confined to innovation labs and is being hailed for its immense transformational possibilities. However, businesses need to overcome certain challenges before they can realise the true potential of this emerging technology. Provability Organisations involved in AI cannot demonstrate clearly why it does and what it does. No wonder AI is a "black box".

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Last week, I, alongside my colleague Assembly Environmental Conservation Committee Chair Steve Englebright, held the first-ever NYS Assembly roundtable on artificial intelligence and how we can utilize it to predict and combat climate change. We head into our last three intensive legislative weeks with June with a few thousand bills pending – though only a fraction will end up passing both bodies. Serious work continues and a whole host of important yet controversial bills including on housing and tenant protections, climate control and protection, surrogacy laws and driver licenses to name just a few! The Assembly and Senate this week passed a legislative package aimed at protecting people with disabilities and improving and expanding services available to them. As always, check out community events to see what's happening around the district!

Colleges, universities, and community college systems are grappling with how best to plan, implement, and deliver artificial intelligence (AI) solutions to the maximum benefit of students, faculty, administration, and community stakeholders. As I interact with colleagues across the country, they all know it's no longer a question of "if" but "how and when and to what end." While the needs of every institution are obviously going to vary based on size, student profile, public versus private, I would like to offer up some useful observations and takeaways based on our first steps in this AI journey at the North Carolina Community College System (NCCCS). The taxpayer investments in the system have been consistent, considerable, and continue to generate economic growth and development across North Carolina. The best and most effective strategy won't work unless you can show early successes.

I have an alarm set for 3 a.m. on Sunday morning, which is the earliest that we can start making restaurant reservations for our trip. There's even a spreadsheet with all the restaurants we want to visit, as meticulously researched from videos and handy guides from places like Disney Food Blog and WDW Prep School. So I was more than receptive when someone recommended that I check out TouringPlans.com It's a premium service, with subscriptions priced starting at $16 per year. It has seven full-time employees on the staff, and 12 part-time employees, says Testa, as well as a business in publishing "Unofficial Guides" to Disney World, Disneyland, and other popular tourist destinations.

The future of deliveries may be robo-vans. A Chinese startup called Neolix kicked off mass production of its self-driving delivery vehicles Friday -- saying it's the first company globally to do so -- and has lined up giants such as JD.Com Inc. and Huawei Technologies Co. as customers. Neolix expects to deliver a thousand of the vehicles, which resemble tiny vans, within the first year as it broadens out. The implications are potentially huge: Billionaire Jack Ma predicts there will be 1 billion deliveries a day in China within a decade and the commercialization of the technology could provide lessons for autonomous vehicles carrying passengers. Neolix isn't alone in this space as Silicon Valley's Nuro raised almost a billion dollars this year and is starting to deliver groceries in Arizona.

I have an alarm set for 3 a.m. on Sunday morning, which is the earliest that we can start making restaurant reservations for our trip. There's even a spreadsheet with all the restaurants we want to visit, as meticulously researched from videos and handy guides from places like Disney Food Blog and WDW Prep School. So I was more than receptive when someone recommended that I check out TouringPlans.com-- a site that uses complex algorithms to help you plan the perfect vacation at Disney World, Disneyland, or a handful of other theme parks like Universal Studios Orlando. It's a premium service, with subscriptions priced starting at $16 per year. It has seven full-time employees on the staff, and 12 part-time employees, says Testa, as well as a business in publishing "Unofficial Guides" to Disney World, Disneyland, and other popular tourist destinations.