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The Semperis Hybrid Identity Protection conference kicked off today in New Orleans, gathering identity security experts, practitioners, and thought leaders to explore the evolving world of hybrid identity. This year’s conference, more relevant than ever, highlights a fundamental shift in how organizations approach identity—not just as a tool for managing user access but as a critical layer of cybersecurity that shapes an organization’s defensive posture. In an era of remote work, cloud adoption, and advanced cyber threats, identity has become the new perimeter, making events like HIP essential for fostering innovation, resilience, and collective knowledge in the industry.

Historically, identity management was an IT utility—a straightforward way to grant employees access to necessary resources. However, as digital transformations swept through organizations, the role of identity shifted dramatically. Identity is now central to security strategies, especially with the explosion of SaaS applications, remote access, and mobile workforces. For many organizations, identity is not just about provisioning accounts; it’s the first and last line of defense against unauthorized access and data breaches.

This transition has led to a realignment within organizations, where identity management is increasingly overseen by CISOs rather than traditional IT teams. CISOs recognize that identity management is a security function with direct implications on risk mitigation, compliance, and resilience.

OneSkin, founded by Brazilian PhD scientists in 2016, reports that it has now closed a Series A funding round led by Selva Ventures, together with contributions from PLUS Capital, Unilever Ventures, Able Partners, SOSV, and Meta Planet. This brings the accumulated capital of the firm to 20 million US dollars.

The goal of the OneSkin team is the research and development of topical treatments that promote skin longevity. The brand’s efforts have led to the development of the peptide OS-01, which is claimed to reverse the aging of the skin by preventing the accumulation of “old”, non-dividing senescent cells, as well as shield skin cells from DNA damage. OS-01 is already available on the market in several different products offered by the company.

Senescent cells have been the focus of a significant amount of biogerontological research in recent years. Scientists claim that every cell in the human body has a limited capacity for division, governed by genetic factors. When the cells reach the point in their lifecycle where their ability to divide is permanently halted, they remain in a minimally-functional state in the tissue types they inhabit.

In a podcast on Monday, Anthropic CEO Dario Amodei warned that a future with human-level AIs is not far away. In fact, it might happen as soon as 2026.

The podcast was hosted by AI influencer Lex Fridman where Amodei was invited for an interview that went on for 5 hours. A lot of interesting topics were discussed, starting from Anthropic’s upcoming project to the timeline for superintelligent models and so on.

Note: Human-level AIs basically refer to Artificial General Intelligence (AGI) which many companies like OpenAI are already working on. AGI is a new state in which an AI model will be as competent as a human in every field.

This behavior is driven by quantum entanglement, a phenomenon where the fates of individual electrons become intertwined.

Scientists have developed theoretical models describing quantum spin liquids for many years. However, creating these materials in a laboratory setting has been a challenge.

This is because, in most materials, electron spins tend to settle into an ordered state, similar to the alignment seen in conventional magnets.

Researchers have developed a robot capable of performing surgical procedures with the same skill as human doctors by training it using videos of surgeries.

The team from Johns Hopkins and Stanford Universities harnessed imitation learning, a technique that allowed the robot to learn from a vast archive of surgical videos, eliminating the need for programming each move. This approach marks a significant step towards autonomous robotic surgeries, potentially reducing medical errors and increasing precision in operations.

Revolutionary Robot Training

Unveiling faster and smarter reasoning in AI:*

https://arxiv.org/abs/2410.

Researchers have introduced a breakthrough in AI reasoning, specifically for Large Language Models (LLMs), with a method called*.


Interpretable Contrastive Monte Carlo Tree Search Reasoning — zitian-gao/SC-MCTS.