Anthropic launches Claude Science: but what should the real mission of AI science be?

Pharma is becoming a major AI battleground.

Anthropic has launched Claude Science, a new AI product aimed at Scientists, Pharmaceutical companies and Research teams. Anthropic sees Life Sciences as both a major business opportunity and one of AI’s most important real world applications.

The global market value of the Pharmaceutical sector is expected to reach USD $2.35 to 3.15 trillion by 2030 to 2032, a CAGR of 6.1% to 7.5%.

Claude Science is designed for use cases such as drug discovery, molecule design, literature synthesis, clinical documentation, regulatory submissions and rendering 3D protein structures. Pharma and Biotech are high value Enterprise customers.

A new phase of AI competition.

Anthropic’s launch of Claude Science heralds the next phase of AI competition: specialised tools for high value industries.

Here are the 3 key takeaways:

1. Pharma is a major revenue opportunity.

• Anthropic is targeting Pharma and Biotech because these industries have expensive, complex workflows where AI can create clear business value: from drug discovery to clinical documentation.

2. Specialised AI products are the next battleground.

• Claude Science is not just another chatbot. It shows that leading AI companies are moving towards vertical products built for specific industries, users and workflows.

3. Safety will shape who gets access.

• Biology is a powerful but sensitive use case. Anthropic is highlighting that advanced AI tools for science may need tighter controls, vetted users and Enterprise style governance.

Anthropic is using Claude Science to prove that AI can move beyond productivity tools and become core infrastructure for industries like Pharma, Healthcare and Scientific research.

But will AI science truly transform the pharmaceutical industry or will it simply make the industry more efficient at developing revenue generating products that manage symptoms rather than deliver genuine cures?

AI's real Societal mission.

As Anthropic and OpenAI race towards trillion dollar IPOs, the real measure of success for society will not be which company builds the most powerful model or reaches the highest valuation or ARR.

It will be which leading AI platform helps humanity make the greatest progress on the problems that matter most:

1. Curing cancer.

2. Curing chronic disabling diseases.

3. Saving and improving the lives of people affected by genetic disorders.

4. Ending the mass slaughter of animals in the human food chain.

That is the race that truly matters. Only then can we say Super Intelligence has truly arrived.

So which AI platform will be bold enough to set a target date for achieving these moonshots?

Dario Amodei Daniela Amodei Greg Brockman Mark Chen Demis Hassabis Jensen Huang Sundar Pichai Cristina Criddle Karim Lakhani

#AI for cures #AI for humanity #AI manifesto

Baidu’s AI Assistant Reaches Milestone of 200 Million Monthly Active Users

Ernie Assistant is integrated into its flagship Baidu search engine app and on personal computers.

3 basic lessons we can learn from China’s Baidu on AI assistants:

1) Own the default entry point: assistants scale fastest when embedded in search/OS/messaging, not as standalone applications.

2) Monetise outcomes, not clicks: AI will reduce weblink traffic, so shift to generating revenue from completed actions (e.g. leads, bookings, purchases, resolutions).

3) Moat = workflow + ecosystem: models will commoditise; defensibility comes from integrations, proprietary data loops and trusted execution.

Click here to read more.

'My AI twin may get me more modelling work'

In an innovative twist to digital identity, London based model, Alexsandrah Gondora, has created a virtual, AI generated version of herself!

Gondora (the model whose image you can view by clicking here) is following in the footsteps of #Shudu, one of the world's first digital supermodels. Shudu has nearly 250k followers, is a virtual influencer and has been involved in marketing campaigns for luxury brands #Balenciaga, #Lexus and #Balmain. Interestingly, Alexsandrah has also been a real life model for Shudu but will now also be paid royalties where her own AI doppelganger appears in any marketing campaigns or photoshoots.

There was a backlash against fashion brand #Levi's last year, when it announced that it would be using AI to generate models of more diverse body types and skin tones to increase representation of models. Concerns were raised about fair pay for models and whether virtual models would take away work from real ones. It wasn’t just models with concerns, makeup artists and hairstylists also expressed concerns about the impact of AI on their industry. Levi’s partnered with Lalaland.ai for that initiative and following the criticism of it’s announcement, it backtracked and saying it was "committed to using AI technologies equitably and transparently".

“AI versions of celebrities”

However, demand for virtual models and influencers is only growing.

Whilst, Meta has its own AI chatbot similar to ChatGPT, it also introduced 28 new ones with different personalities that use images of celebrities. For example, Tom Brady’s likeness is used for “Bru”, a chatbot used for debating sports. And Kendall Jenner's plays “Billie” a chatbot represented as a big sister to give users advice! Other celebrities that these AI chatbots are modelled on include Bear Grylls and Snoop Dogg. Deals reportedly ranged between $1m and $5m for using the images of celebrities to create these characters.

So, does Alexsandrah Gondora's venture into digital twinning represent a savvy move to capitalise on Metaverse trends, or does it echo broader concerns about AI's impact on employment in creative industries? The debate is far from over.

Original reporting by @SamGruet at the BBC.

Mythbusters: Coronavirus

In the current climate of concern regarding Coronavirus, we need to be careful where we get our news from.

Here are 3 trusted sources that will help:

1. Coronavirus Resource Center: Harvard Medical School

   • Comprehensive summary of what you need to know, updated regularly

2. Myth busters: World Health Organisation (WHO)

   • Counteracts myths circulating on social media

3. Daily situation updates: World Health Organisation (WHO)

   • Dashboards published each morning of global distribution of cases (as below)

*As usual always consult your primary care physician about your personal healthcare needs

Fast facts

What is COVID-19 ?

• COVID-19 is short for "CoronaVirus Disease 2019" and is the official name given by the WHO to the disease caused by this newly identified Coronavirus

What are Coronaviruses ?

• Coronaviruses are a large family of viruses which may cause illness in animals or humans.

• In humans, several Coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as:

  • Middle East Respiratory Syndrome (MERS); and

  • Severe Acute Respiratory Syndrome (SARS).

• The most recently discovered Coronavirus causes Coronavirus disease COVID-19

Why is it called “Corona” ?

• Corona in Latin means crown, and the protein spikes around the virus appear to look like a crown. That’s where Coronavirus gets its name (see video below)

How Japanese AI leads the infrastructure revolution

Jaoanese A.I. innovation !

How Digital Technologies are Transforming the Supply Chain

Ever wonder how #Blockchain affects every day lives ?

#Blockchain is enabling small farmers in Africa to access loans at reasonable rates and break the cycle of poverty !

Digital Technologies also make the Supply Chain more transparent:

• Consumers can review the Sustainability and Ethics of suppliers by tracking transactions across the Supply Chain via 'Digital Thumbprints'

• #Big Data and Satellite mapping is used to monitor Deforestation to reduce #carbon footprints

• #IoT, #AI and BlockChain can reduce food waste and rapidly identify sources of contamination in the Supply Chain

This is only the start, the possibilities are endless...

How AI May Prevent The Next Coronavirus Outbreak

• AI will be key in combating the next Coronavirus like outbreak

• Companies such as #BlueDot, #Nanox and #Insilico Medicine are already harnessing AI and Machine Learning to combat the spread of contagious viruses

• #BlueDot apparently identified the outbreak in Wuhan, several hours after the first cases were diagnosed by local authorities. It informed its clients nearly a week before Chinese and International Health Organisations made official announcements

• These companies matter because: 

  • The scale of potential pandemics will only increase in a globalised world with a rising population

  • COVID-19  is likely to cut global GDP growth by $1.1 trillion

  • Economic Superpowers like US and China need to collaborate (not compete) on such innovation to counter such ‘black swans’

• #Insilico Medicine, which specializes in AI in the area of drug discovery and development, used its AI based system to identify thousands of new molecules that could serve as potential medications for Coronavirus in just 4 days

• #Nanox is using AI cloud based software to diagnose infections and help prevent epidemic outbreaks using a vast image database, radiologist diagnostic reviews and assistive artificial intelligence systems.

• Nanox is currently building new standing X ray machines to be installed in public places, such as airports, train stations and seaports

• Click here to read more

Humans on their own have little hope in dealing with such crises

Only AI can provide the speed and scale necessary to handle the data to thwart the next pandemic

AI assisted screening and diagnostic techniques are here to stay…

#PredictiveAI  #AIforgood  #Coronavirus   

Competing In the Age of AI

A pleasure to meet Professors Marco Iansiti and Karim Lakhani in London last night !

Helping "democratise AI" with their latest book:

• "Competing in the Age of AI.

• Strategy and Leadership when Algorithms and Networks run the world."

Their example of Rembrandt, leads one to think: “Whilst 'life is short, and art is long'....with Artificial intelligence it can be even longer !”

You can order the book via this link

Weapon spotting tech tested by Las Vegas casino

AI is being used to detect covert threats in Las Vegas

Algorithms run the sensor data through a database, to see if a weapon is being hidden

Machine vision augments the security cameras

#Patriot One is the company behind the technology

Click here to read more…

How artificial intelligence is redefining the role of manager

Click here for full story

Workers can learn to love artificial intelligence

• Studies by #Uber, #Google and #Nissan show AI isn’t a zero sum game for workers

• When workers feel they have some control, they will embrace innovation and drive efficiencies

• But with a mindset of fear and lack of control, there could be a backlash

Read more here…

Emotion recognition is China’s new surveillance craze

China’s cutting edge #AI technology, for crime prediction systems:

• “Emotion recognition” complements facial recognition, gait recognition, eye tracking and crowd analysis

• The enhanced security requires safeguards on privacy and miscarriages of justice across cultures

• A new legal framework for facial recognition systems awaited in UK

#Amazon, #Google and #Microsoft also developing emotion recognition technology

Click here for more

Workplace automation: how AI is coming for your job

• Some white collar jobs could be swept away by digital change, due to advances in machine learning software

• More real time analytics mean companies will constantly seek an “information edge"

• People will still be needed: what they do will change, as will the skill sets they utilise

But lets not forget, just because you can measure things in the #digital workplace, doesn’t mean its always valuable !

To read further click here….

Where AI is today and where it's going.

Artificial Intelligence continues to evolve…

Robots 'to replace up to 20 million factory jobs' by 2030

Up to 20 million manufacturing jobs around the world could be replaced by robots by 2030, according to analysis firm Oxford Economics.

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Playing with tech to create drug-free ADHD treatment

The startup creating the first prescription video game for neurological conditions

#Digital Therapeutics offers hope for ADHD

Akili is a new startup blending together the medicine business with the entertainment business

Cutting edge therapy, cutting edge thinking....

Games for other conditions like Parkinson’s disease, autism and multiple sclerosis to follow

https://www.ft.com/content/1f2bc488-8c5a-11e9-a1c1-51bf8f989972

Microsoft pulls facial recognition database from internet

Looming antitrust investigations into #Google, #Amazon, #Facebook and #Apple may have prompted the move….

Microsoft’s MS Celeb data set was the largest publicly available facial recognition data set in the world, with more than 10m images of nearly 100,000 individuals

It has apparently been used by IBM, Panasonic, Alibaba, Nvidia, Hitachi, Sensetime and Megvii.

https://www.ft.com/content/7d3e0d6a-87a0-11e9-a028-86cea8523dc2

Using AI to spot potential rogue traders

#AI is getting smarter !

By connecting disparate data sets, we can unlock huge value across all Enterprises and Industries:

• Identifying hidden patterns (internal and external) to the Enterprise

• Using machine learning to anticipate and neutralise threats real time (self learning)

• Optimising human behaviour and operations towards value creation across the ecosystem

https://www.ft.com/video/9b16e93f-fb01-41c8-a49d-ac6c92ad319f

#ConnectedAI

10 Breakthrough Technologies (Bill Gates)

Bill Gates' list of 10 breakthrough inventions that will change the world for the better.

In no particular order:

1. Robot dexterity

2. New wave nuclear power

3. Predicting premature babies

4. Gut probe in a pill

5. Custom cancer vaccines

6. The cow free burger

7. Carbon dioxide catcher

8. ECG on your wrist

9. Sanitation without sewers

10. Smooth talking AI assistants

#cuttingedge #technologyinnovation #changinglives

https://www.technologyreview.com/lists/technologies/2019/

Slippery slope towards designer babies

#MyOme and #Genomic Prediction are 2 U.S. startups using genomes to predict disease risk using #machine learning

But how about using #IVF to determine the #IQ, looks or height of your offspring ?

Far fetched ?

Well, #China has apparently been tracking the genome of its cleverest students for years...!

No doubt it sees some #competitive advantage

Meanwhile millions of genomes are being scanned by consumer testing companies e.g. #23andme

#Eugenics raises significant social, moral and ethical concerns for the future…. particularly since your wealth may well determine your destiny !

https://www.economist.com/science-and-technology/2018/11/14/a-slippery-slope-towards-designer-babies