AI-powered brain implant restores speech in paralysis patient after 18 years.
UC Berkeley and UCSF use AI-driven brain-computer interface to restore near real-time speech in paralysis patient.
AI-powered brain implant restores speech in paralysis patient after 18 years.
UC Berkeley and UCSF use AI-driven brain-computer interface to restore near real-time speech in paralysis patient.
Discover how to create AI experiences with Copilot Studio and build low-code solutions using Microsoft Power Platform. Join the Microsoft Power Up Program today and get ready for the future of work.
A new software tool developed by Cornell researchers can model a small city’s building energy use within minutes on a standard laptop, then run simulations to help policymakers prioritize the most cost-effective approaches to decarbonization.
Using the City of Ithaca, New York, as a case study, the urban building energy model quickly mapped more than 5,000 residential and commercial buildings and their baseline energy use. Simulated investments in weatherization, electric heat pumps and rooftop solar panels, while also factoring in financial incentives, generated insights that are informing city efforts to achieve carbon neutrality by 2030.
The tool’s automated workflow, accessibility and accuracy—without advanced computing power—could be particularly valuable for smaller cities that lack resources and expertise dedicated to decarbonization, the researchers said. But they said the new model—now also supporting the county that surrounds Ithaca—could be further scaled up to serve big cities or an entire state.
Information tasks such as writing surveys or analytical reports require complex search and reasoning, and have recently been grouped under the umbrella of \textit{deep research} — a term also adopted by recent models targeting these capabilities. Despite growing interest, the scope of the deep research task remains underdefined and its distinction from other reasoning-intensive problems is poorly understood. In this paper, we propose a formal characterization of the deep research (DR) task and introduce a benchmark to evaluate the performance of DR systems. We argue that the core defining feature of deep research is not the production of lengthy report-style outputs, but rather the high fan-out over concepts required during the search process, i.e., broad and reasoning-intensive exploration. To enable objective evaluation, we define DR using an intermediate output representation that encodes key claims uncovered during search-separating the reasoning challenge from surface-level report generation. Based on this formulation, we propose a diverse, challenging benchmark LiveDRBench with 100 challenging tasks over scientific topics (e.g., datasets, materials discovery, prior art search) and public interest events (e.g., flight incidents, movie awards). Across state-of-the-art DR systems, F1 score ranges between 0.02 and 0.72 for any sub-category. OpenAI’s model performs the best with an overall F1 score of 0.55. Analysis of reasoning traces reveals the distribution over the number of referenced sources, branching, and backtracking events executed by current DR systems, motivating future directions for improving their search mechanisms and grounding capabilities. The benchmark is available at https://github.com/microsoft/LiveDRBench.
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Hello and welcome! My name is Anton and in this video, we will talk about new evidence for a large planet in the Alpha Centauri system near us.
Links:
NASA’s Webb Finds New Evidence for Planet Around Closest Solar Twin
https://arxiv.org/pdf/2508.03814
https://arxiv.org/pdf/2508.03812
https://iopscience.iop.org/article/10.3847/2515-5172/add880/meta.
Other videos:
#alphacentauri #planet #jameswebbspacetelescope.
0:00 Alpha centauri surprise!
0:40 What we know about the star system so far.
2:57 Potential detection in 2019
3:35 Why JWST is so good at this but there were still challenges.
4:55 Methods used to observe this star.
5:30 Surprise results and the initial analysis.
8:00 Non detection at later dates was important! Orbits worked out.
9:15 What we know about the planet so far.
11:30 Could this be rings?
12:30 What this implies and conclusions.
13:30 What’s next?
Enjoy and please subscribe.
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Some scientists now propose that our universe might have been born inside a massive black hole within a larger parent cosmos. In their model, the universe before ours followed the same laws of physics we know today, expanding for billions of years before gravity overcame that outward push. Space began to contract, galaxies moved closer, and the cosmos collapsed toward extreme densities. Instead of ending in a singularity where physics breaks down, quantum effects pushed back against gravity, halting the collapse and triggering a cosmic rebound. That bounce could have launched our own universe’s expansion, making the Big Bang not the true beginning, but a continuation.
This idea draws on the Pauli Exclusion Principle and degeneracy pressure, which in smaller-scale examples prevent white dwarfs and neutron stars from collapsing indefinitely. The same resistance, applied on a universe-wide scale, could stop total collapse inside a black hole. Simulations suggest such a process could occur without invoking exotic new particles or forces. In this framework, the formation of our universe is a purely gravitational event, governed by the physics we already understand, just operating under extreme conditions beyond what we have directly observed.
One striking prediction is that ancient relics from the parent universe could have survived the bounce. These might include primordial black holes or neutron stars that predate our own cosmos. If detected, especially in the early universe, they could serve as evidence that a cosmic bounce occurred. The James Webb Space Telescope’s discovery of unexpectedly massive galaxies soon after the Big Bang could align with this idea, as such galaxies may have formed more easily if early black holes were already present to seed them.
Recent JWST findings on how galaxies spin across the universe may also fit the model. If confirmed, these patterns could point toward a shared origin and support the possibility that we live inside a black hole. While the concept remains controversial, it offers a potential bridge between general relativity and quantum mechanics, challenging the assumption that singularities are inevitable and suggesting that the life cycle of universes may be far more connected than we thought.