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Bridging the expectation-reality gap in machine learning

Machine learning (ML) is now mission critical in every industry. Business leaders are urging their technical teams to accelerate ML adoption across the enterprise to fuel innovation and long-term growth. But there is a disconnect between business leaders’ expectations for wide-scale ML deployment and the reality of what engineers and data scientists can actually build and deliver on time and at scale.

In a Forrester study launched today and commissioned by Capital One, the majority of business leaders expressed excitement at deploying ML across the enterprise, but data scientist team members said they didn’t yet have all the necessary tools to develop ML solutions at scale. Business leaders would love to leverage ML as a plug-and-play opportunity: “just input data into a black box and valuable learnings emerge.” The engineers who wrangle company data to build ML models know it’s far more complex than that. Data may be unstructured or poor quality, and there are compliance, regulatory, and security parameters to meet.

AI Pioneer Kai-Fu Lee Builds $1 Billion Startup in Eight Months

01. AI’s model outperforms Meta’s Llama 2 on certain metricsStartup to offer open-source model; proprietary options laterA Chinese startup founded by computer scientist Kai-Fu Lee has become a unicorn in less than eight months on the strength of a new open-source artificial-intelligence model that outstrips Silicon Valley’s best, on at least certain metrics.

The company, 01.AI, has reached a valuation of more than $1 billion after a funding round that included Alibaba Group Holding Ltd.’s cloud unit, Lee said in an interview. The chief executive officer of venture firm Sinovation Ventures will also be CEO of the new startup. He began assembling the team for 01.AI in March and started… More.


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The Vital Role Of Partnerships In Scaling Artificial Intelligence

An effective way of tackling this challenge is to find friendly partners who can help bear the burden. This means other businesses and organizations with the skills you’re missing or that specialize in the support infrastructure you need, be it in engineering, logistics, marketing or sales.

This is particularly essential when dealing with AI. It’s certainly getting easier for companies to start exploring and benefiting from AI. But fully integrating it in a business across every viable use case is still expensive, time-consuming and often dependent on the availability of highly skilled specialists.

Businesses rely on trusted networks of consultants, suppliers, and resellers to create these partnership ecosystems. Partnership working in the context of AI is going to be particularly important for small and medium sized enterprises (SMEs) that generate the majority of GDP and account for 90 percent of global business activity. Ultimately, it’s likely to be these businesses that will determine whether AI achieves its projected $4.4 trillion potential.

Robot ‘nurse’ helps alleviate burnout among real nurses around the country

CNBC’s Andrea Day joins Shep Smith to report on ‘robot nurses’ meant to give a hand to live nurses, who suffered under very difficult conditions during the pandemic. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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OpenAI’s massive ChatGPT updates leak ahead of developer conference

Leaks show that OpenAI will be unveiling major updates to ChatGPT at its developer conference on 6 November. These include custom chatbots, a business subscription, and connections to Google and Microsoft.

OpenAI’s first-ever developer conference will take place on the 6th of November, where the company plans to unveil a number of updates. Leaks now show that these will include a new interface for ChatGPT as well as completely new features.

OpenAI introduces custom chatbots via Gizmo.

SpaceRake wins $1.8 million in SDA funding for optical communications terminals

SAN FRANCISCO – The Space Development Agency awarded SpaceRake, a Cambridge, Massachusetts startup, $1.8 million to develop miniature laser communications terminals.

It was the first government contract for SpaceRake, a firm founded in 2021 by Kerri Cahoy, the Massachusetts Institute of Technology Space Telecommunications, Astronomy and Radiation Laboratory director with a Ph.D. in electrical engineering, and Jeremy Wertheimer, former Google vice president engineering with a Ph.D. in artificial intelligence.

Under the two-year direct-to-Phase 2 Small Business Innovation Research award announced Nov. 1, SpaceRake will develop terminals to enable satellites as small as cubesats to transfer data through laser links with the Transport Layer, a global communications network in low Earth orbit being established by SDA, a U.S. Space Force organization.

US startup beats IBM to reach 1,000 qubit milestone

IBM’s announcement of a 1,000+ qubit computer is expected in the next few weeks but the startup might be a few leaps ahead.

Boulder, Colorado-based Atom Computing has beaten tech giant IBM in developing a quantum computer with more than 1,000 qubits. This next-generation quantum computing platform will be available for interested users next year, a company press release said.

Developments in quantum computing have become a race of sorts as businesses from different parts of the world are looking to take the lead in this next frontier of technology. Giants such as Microsoft, Google, and IBM have been working on developing their versions of the complex computer in a domain that is equally accessible to startups.