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Feb 6 (Reuters) — Google owner Alphabet Inc (GOOGL.O) on Monday said it will launch a chatbot service and more artificial intelligence for its search engine as well as developers, an answer to Microsoft Corp (MSFT.O) in their rivalry to lead a new wave of computing.

Microsoft, meanwhile, said it planned its own AI reveal for Tuesday.

The cascade of news reflects how Silicon Valley is anticipating massive change from so-called generative AI, technology that can create prose or other content on command and free up white-collar workers’ time.

The loss of pollinators, such as bees, is a huge challenge for global biodiversity and affects humanity by causing problems in food production. At Tampere University, researchers have now developed the first passively flying robot equipped with artificial muscle. Could this artificial fairy be utilized in pollination?

The development of stimuli-responsive polymers has brought about a wealth of material-related opportunities for next-generation small-scale, wirelessly controlled soft-bodied robots. For some time now, engineers have known how to use these materials to make small robots that can walk, swim and jump. So far, no one has been able to make them fly.

Researchers of the Light Robots group at Tampere University are now researching how to make smart material fly. Hao Zeng, Academy Research Fellow and the group leader, and Jianfeng Yang, a doctoral researcher, have come up with a new design for their project called FAIRY – Flying Aero-robots based on Light Responsive Materials Assembly. They have developed a polymer-assembly robot that flies by wind and is controlled by light.

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Panelists: michael graziano, jonathan cohen, vasudev lal, joscha bach.

The seminal contribution “Attention is all you need” (Vasvani et al. 2017), which introduced the Transformer algorithm, triggered a small revolution in machine learning. Unlike convolutional neural networks, which construct each feature out of a fixed neighborhood of signals, Transformers learn which data a feature on the next layer of a neural network should attend to. However, attention in neural networks is very different from the integrated attention in a human mind. In our minds, attention seems to be part of a top-down mechanism that actively creates a coherent, dynamic model of reality, and plays a crucial role in planning, inference, reflection and creative problem solving. Our consciousness appears to be involved in maintaining the control model of our attention.

In this panel, we want to discuss avenues into our understanding of attention, in the context of machine learning, cognitive science and future developments of AI.

Full program and references: https://cognitive-ai-panel.webflow.io/panels/attention

With the heat of ChatGPT, the fastest growing app in the history of the web, no wonder Sundar Pichai, CEO of Google feels the need to enter with a challenge.

Google plans to release its most powerful and latest language model, LaMDA, as a companion to its search engine in weeks or in months. It will be interesting to see the trajectory comparatives between the two emerging Chat Titans.

Although Google’s forth quarter earnings call was done this week, Pichai said, “AI is the most profound technology we are working on today.” This is a pre-cursor announcement which will come shortly due to the momentum of OpenView’s GPT3.

In 2023, the US healthcare industry is again facing several significant challenges, including ongoing high inflation rates, labor shortages, and the persistent impact of the COVID-19 pandemic. Despite continued difficulties, leaders in the space are working to find innovative solutions to improve the current system while looking ahead at the promising future of medicine that appears to have already arrived.

From artificial intelligence-based medicine to breakthroughs in precision neuroscience, we outline key trends expected to shape the healthcare landscape in 2023 and beyond.

The 2023 Trend Report: Impactful Healthcare Innovations to Watch.

Synthetic biology has made major strides towards the holy grail of fully programmable bio-micromachines capable of sensing and responding to defined stimuli regardless of their environmental context. A common type of bio-micromachines is created by genetically modifying living cells.[ 1 ] Living cells possess the unique advantage of being highly adaptable and versatile.[ 2 ] To date, living cells have been successfully repurposed for a wide variety of applications, including living therapeutics,[ 3 ] bioremediation,[ 4 ] and drug and gene delivery.[ 5, 6 ] However, the resulting synthetic living cells are challenging to control due to their continuous adaption and evolving cellular context. Application of these autonomously replicating organisms often requires tailored biocontainment strategies,[ 7-9 ] which can raise logistical hurdles and safety concerns.

In contrast, nonliving synthetic cells, notably artificial cells,[ 10, 11 ] can be created using synthetic materials, such as polymers or phospholipids. Meticulous engineering of materials enables defined partitioning of bioactive agents, and the resulting biomimetic systems possess advantages including predictable functions, tolerance to certain environmental stressors, and ease of engineering.[ 12, 13 ] Nonliving cell-mimetic systems have been employed to deliver anticancer drugs,[ 14 ] promote antitumor immune responses,[ 15 ] communicate with other cells,[ 16, 17 ] mimic immune cells,[ 18, 19 ] and perform photosynthesis.